--- title: "Molecular Biology — papers" description: "Molecular Biology: 85 papers of the Elamur Research library · page 1 of 2 · 1–25, the most cited first — our summary of each, its ideas, references and…" canonical: "https://research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/) [home](https://md.research.elamur.ai/free/en/) / [shelves](https://md.research.elamur.ai/free/en/shelves/) / [Biochemistry, Genetics and Molecular Biology](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) / Molecular Biology # 🧬 Molecular Biology 85 papers · page 1 of 2 · 1–25 · the most cited first · [all shelves](https://md.research.elamur.ai/free/en/shelves/) Molecular Biology is a subfield of Biochemistry, Genetics and Molecular Biology in the OpenAlex classification of science. The topics most of its papers here are on: «Biomedical Text Mining and Ontologies», «Machine Learning in Bioinformatics», «Genomics and Phylogenetic Studies». ## Papers **1** [2](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/page/2/) 1. [**Highly accurate protein structure prediction with AlphaFold**John Jumper, Richard Evans, Alexander Pritzel, et al.*2021 · 43,470 citations*](https://md.research.elamur.ai/free/en/papers/jumper-2021-highly-accurate-protein-structure-prediction/) 2. [**BioBERT: a pre-trained biomedical language representation model for biomedical text mining**Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, et al.*2019 · 8,281 citations*](https://md.research.elamur.ai/free/en/papers/lee-2019-biobert-pre-trained-biomedical-language/) 3. [**Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing**Yu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon*2020 · 2,636 citations*](https://md.research.elamur.ai/free/en/papers/gu-2020-domain-specific-language-model-pretraining/) 4. [**brat: a Web-based Tool for NLP-Assisted Text Annotation**Pontus Stenetorp, Sampo Pyysalo, Goran Topić, et al.*2012 · 1,368 citations*](https://md.research.elamur.ai/free/en/papers/stenetorp-2012-brat-web-based-tool-nlp/) 5. [**Publicly Available Clinical BERT Embeddings**Emily Alsentzer, John R. Murphy, Willie Boag, et al.*2019 · 1,209 citations*](https://md.research.elamur.ai/free/en/papers/alsentzer-2019-publicly-available-clinical-bert-embeddings/) 6. [**PubMedQA: A Dataset for Biomedical Research Question Answering**Qiao Jin, Bhuwan Dhingra, Zhengping Liu, et al.*2019 · 1,152 citations*](https://md.research.elamur.ai/free/en/papers/jin-2019-pubmedqa-dataset-biomedical-research-question/) 7. [**Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets**Yifan Peng, Shankai Yan, Zhiyong Lu*2019 · 1,070 citations*](https://md.research.elamur.ai/free/en/papers/peng-2019-transfer-learning-biomedical-natural-language/) 8. [**Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph Construction**Yi Luan, Luheng He, Mari Ostendorf, et al.*2018 · 933 citations*](https://md.research.elamur.ai/free/en/papers/luan-2018-multi-task-identification-entities-relations/) 9. [**Overview of BioNLP'09 Shared Task on Event Extraction**Jin-Dong Kim, Tomoko Ohta, Sampo Pyysalo, et al.*2009 · 735 citations*](https://md.research.elamur.ai/free/en/papers/kim-2009-overview-bionlp-09-shared-task/) 10. [**Introduction to the Bio-entity Recognition Task at JNLPBA**Nigel Collier, Tomoko Ohta, Yoshimasa Tsuruoka, et al.*2004 · 731 citations*](https://md.research.elamur.ai/free/en/papers/collier-2004-introduction-bio-entity-recognition-task/) 11. [**Explainable Prediction of Medical Codes from Clinical Text**James Mullenbach, Sarah Wiegreffe, Jon Duke, et al.*2018 · 715 citations*](https://md.research.elamur.ai/free/en/papers/mullenbach-2018-explainable-prediction-medical-codes-clinical/) 12. [**CORD-19: The COVID-19 Open Research Dataset**Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, et al.*2020 · 685 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-cord-19-covid-19-open/) 13. [**LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day**Chunyuan Li, Cliff Wong, Sheng Zhang, et al.*2023 · 676 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-llava-med-training-large-language/) 14. [**ScispaCy: Fast and Robust Models for Biomedical Natural Language Processing**Mark Neumann, Daniel King, Iz Beltagy, et al.*2019 · 674 citations*](https://md.research.elamur.ai/free/en/papers/neumann-2019-scispacy-fast-robust-models-biomedical/) 15. [**Biomedical Named Entity Recognition using Conditional Random Fields and Rich Feature Sets**Burr Settles*2004 · 600 citations*](https://md.research.elamur.ai/free/en/papers/settles-2004-biomedical-named-entity-recognition-conditional/) 16. [**Finding Parts in Very Large Corpora**Matthew Berland, Eugene Charniak*1999 · 560 citations*](https://md.research.elamur.ai/free/en/papers/berland-1999-finding-parts-very-large-corpora/) 17. [**Cross-Sentence N-ary Relation Extraction with Graph LSTMs**Nanyun Peng, Hoifung Poon, Chris Quirk, et al.*2017 · 553 citations*](https://md.research.elamur.ai/free/en/papers/peng-2017-cross-sentence-n-ary-relation/) 18. [**Results of the WNUT2017 Shared Task on Novel and Emerging Entity Recognition**Leon Derczynski, Eric Nichols, Marieke van Erp, et al.*2017 · 534 citations*](https://md.research.elamur.ai/free/en/papers/derczynski-2017-results-wnut2017-shared-task-novel/) 19. [**SemEval-2010 Task 5 : Automatic Keyphrase Extraction from Scientific Articles**Su Nam Kim, Olena Medelyan, Min-Yen Kan, et al.*2010 · 459 citations*](https://md.research.elamur.ai/free/en/papers/kim-2010-semeval-2010-task-5-automatic/) 20. [**MedMCQA : A Large-scale Multi-Subject Multi-Choice Dataset for Medical domain Question Answering**Ankit Pal, Logesh Kumar Umapathi, Malaikannan Sankarasubbu*2022 · 451 citations*](https://md.research.elamur.ai/free/en/papers/pal-2022-medmcqa-large-scale-multi-subject/) 21. [**Large language models are few-shot clinical information extractors**Monica Agrawal, Stefan Hegselmann, Hunter Lang, et al.*2022 · 448 citations*](https://md.research.elamur.ai/free/en/papers/agrawal-2022-large-language-models-are-few/) 22. [**SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications**Isabelle Augenstein, Mrinal Das, Sebastian Riedel, et al.*2017 · 435 citations*](https://md.research.elamur.ai/free/en/papers/augenstein-2017-semeval-2017-task-10-scienceie/) 23. [**Self-Alignment Pretraining for Biomedical Entity Representations**Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, et al.*2021 · 432 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-self-alignment-pretraining-biomedical-entity/) 24. [**The INCEpTION Platform: Machine-Assisted and Knowledge-Oriented Interactive Annotation**Jan-Christoph Klie, Michael Bugert, Beto Boullosa, et al.*2018 · 422 citations*](https://md.research.elamur.ai/free/en/papers/klie-2018-inception-platform-machine-assisted-knowledge/) 25. [**Nested Named Entity Recognition**Jenny Rose Finkel, Christopher D. Manning*2009 · 403 citations*](https://md.research.elamur.ai/free/en/papers/finkel-2009-nested-named-entity-recognition/) **1** [2](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/page/2/) [next →](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/molecular-biology/page/2/) Updated 23 October 2026 - [← previous subfield Genetics](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/genetics/) - [↑ back to Biochemistry, Genetics and Molecular Biology](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/)