--- title: "Nature — journal, papers and authors" description: "Nature: 9 works in the Elamur Research library (2020–2025), 78,775 citations; its topics, authors and institutions." canonical: "https://research.elamur.ai/free/en/venues/nature/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/nature/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / Nature # Nature Journal Published by [Nature Portfolio](https://md.research.elamur.ai/free/en/publishers/nature-portfolio/) - [Website](https://www.nature.com/nature/) - [OpenAlex](https://openalex.org/S137773608) - [Wikidata](https://www.wikidata.org/wiki/Q180445) - [ISSN 0028-0836](https://portal.issn.org/resource/ISSN/0028-0836) [**9** works in our library](https://md.research.elamur.ai/free/en/venues/nature/#works) · [**78,775** citations of these works](https://md.research.elamur.ai/free/en/venues/nature/#works) · [**5,283** citations in our library](https://md.research.elamur.ai/free/en/venues/nature/#works) · [**2020–2025** years of the works here](#years) ## Works by year Works in our library by year 9 dated works from 2020 to 2025; the busiest year is 2025 with 3. **The numbers** | Year | Works | | --- | --- | | 2025 | 3 | | 2024 | 1 | | 2023 | 2 | | 2022 | 1 | | 2021 | 1 | | 2020 | 1 | ## Top topics Topics of its works in our library, with the number of works on each. [Reasoning (2)](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) ## Fields [Computer Science (8)](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities (4)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Materials Science (2)](https://md.research.elamur.ai/free/en/shelves/materials-science/) · [Medicine (2)](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Biochemistry, Genetics and Molecular Biology (1)](https://md.research.elamur.ai/free/en/shelves/biochemistry-genetics-and-molecular-biology/) · [Decision Sciences (1)](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Psychology (1)](https://md.research.elamur.ai/free/en/shelves/psychology/) ## Top authors Authors with a page who published here most often: their works here, and the citations of those works. [🧑‍🔬**Tao Tu**2 works here · 4,676 citations](https://md.research.elamur.ai/free/en/authors/tao-tu/) · [🧑‍🔬**Anna Potapenko**1 work here · 43,470 citations](https://md.research.elamur.ai/free/en/authors/anna-potapenko/) · [🧑‍🔬**Olaf Ronneberger**1 work here · 43,470 citations](https://md.research.elamur.ai/free/en/authors/olaf-ronneberger/) · [🧑‍🔬**Richard Evans**1 work here · 43,470 citations](https://md.research.elamur.ai/free/en/authors/richard-evans/) · [🧑‍🔬**David Cournapeau**1 work here · 23,591 citations](https://md.research.elamur.ai/free/en/authors/david-cournapeau/) · [🧑‍🔬**Pauli Virtanen**1 work here · 23,591 citations](https://md.research.elamur.ai/free/en/authors/pauli-virtanen/) · [🧑‍🔬**Ralf Gommers**1 work here · 23,591 citations](https://md.research.elamur.ai/free/en/authors/ralf-gommers/) · [🧑‍🔬**Stéfan J. van der Walt**1 work here · 23,591 citations](https://md.research.elamur.ai/free/en/authors/stefan-j-van-der-walt/) · [🧑‍🔬**Daya Guo**1 work here · 4,593 citations](https://md.research.elamur.ai/free/en/authors/daya-guo/) · [🧑‍🔬**DeepSeek-AI**1 work here · 4,593 citations](https://md.research.elamur.ai/free/en/authors/deepseek-ai/) · [🧑‍🔬**Dejian Yang**1 work here · 4,593 citations](https://md.research.elamur.ai/free/en/authors/dejian-yang/) · [🧑‍🔬**Haowei Zhang**1 work here · 4,593 citations](https://md.research.elamur.ai/free/en/authors/haowei-zhang/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🏢**Google** Mountain View · United States 5 works here](https://md.research.elamur.ai/free/en/companies/google/) · [🏢**Google DeepMind** London · United Kingdom 4 works here](https://md.research.elamur.ai/free/en/companies/google-deepmind/) · [🎓**Imperial College London** London · United Kingdom 3 works here](https://md.research.elamur.ai/free/en/universities/imperial-college-london/) · [🏢**Amazon** Seattle · United States 2 works here](https://md.research.elamur.ai/free/en/companies/amazon/) · [🎓**Seoul National University** Seoul · South Korea 2 works here](https://md.research.elamur.ai/free/en/universities/seoul-national-university/) · [🎓**University of British Columbia** Vancouver · Canada 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-british-columbia/) · [🎓**University of Toronto** Toronto · Canada 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-toronto/) · [🎓**University of California, Irvine** Irvine · United States 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-california-irvine/) · [🎓**University of Cambridge** Cambridge · United Kingdom 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-cambridge/) · [🎓**University of Oxford** Oxford · United Kingdom 2 works here](https://md.research.elamur.ai/free/en/universities/university-of-oxford/) · [🏢**Google (Switzerland)** Zurich · Switzerland 2 works here](https://md.research.elamur.ai/free/en/companies/google-switzerland/) · [🎓**New York University** New York · United States 2 works here](https://md.research.elamur.ai/free/en/universities/new-york-university/) ## Works in our library (9) The most cited first (OpenAlex citations plus our library's). 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. [**Array Programming with NumPy**Charles R. Harris, K. Jarrod Millman, Stéfan J. van der Walt, et al.*2020 · 23,591 citations*](https://md.research.elamur.ai/free/en/papers/harris-2020-array-programming-numpy/) 3. [**DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning**DeepSeek-AI, Daya Guo, Dejian Yang, et al.*2025 · 4,593 citations*](https://md.research.elamur.ai/free/en/papers/deepseek-ai-2025-deepseek-r1-incentivizing-reasoning-capability/) 4. [**Large Language Models Encode Clinical Knowledge**Karan Singhal, Shekoofeh Azizi, Tao Tu, et al.*2022 · 4,464 citations*](https://md.research.elamur.ai/free/en/papers/singhal-2022-large-language-models-encode-clinical/) 5. [**Autonomous chemical research with large language models**Daniil A. Boiko, Robert MacKnight, Ben Kline, et al.*2023 · 1,122 citations*](https://md.research.elamur.ai/free/en/papers/boiko-2023-autonomous-chemical-research-large-language/) 6. [**Role-Play with Large Language Models**Murray Shanahan, Kyle McDonell, Laria Reynolds*2023 · 606 citations*](https://md.research.elamur.ai/free/en/papers/shanahan-2023-role-play-large-language-models/) 7. [**Solving olympiad geometry without human demonstrations**Trieu H. Trinh, Yuhuai Wu, Quoc V. Le, et al.*2024 · 482 citations*](https://md.research.elamur.ai/free/en/papers/trinh-2024-solving-olympiad-geometry-without-human/) 8. [**Humanity's Last Exam**Long Phan, Alice Gatti, Ziwen Han, et al.*2025 · 235 citations*](https://md.research.elamur.ai/free/en/papers/phan-2025-humanity-s-last-exam/) 9. [**Accelerating scientific discovery with Co-Scientist**Juraj Gottweis, Wei-Hung Weng, Alexander Daryin, et al.*2025 · 212 citations*](https://md.research.elamur.ai/free/en/papers/gottweis-2025-accelerating-scientific-discovery-co/) Venues, publishers and identifiers from OpenAlex (2026-10-14) and the ACL Anthology; yearly proceedings are counted as one series.