--- title: "Shanghua Gao · Harvard University — author profile and papers" description: "Shanghua Gao, Harvard University: 2 papers on Elamur Research (2024–2025), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/shanghua-gao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shanghua-gao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shanghua Gao # Shanghua Gao Shanghua Gao has 2 papers in our library, in 2024–2025, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Ayush Noori](https://md.research.elamur.ai/free/en/authors/ayush-noori/), [Marinka Zitnik](https://md.research.elamur.ai/free/en/authors/marinka-zitnik/), [Richard Zhu](https://md.research.elamur.ai/free/en/authors/richard-zhu/). 2 papers in our library · 2024–2025 [OpenAlex](https://openalex.org/A5111361941) · [ORCID](https://orcid.org/0000-0002-7055-2703) · [Wikidata](https://www.wikidata.org/wiki/Q131164627) · [**h-index 7**](https://openalex.org/authors/A5111361941) · [24 works](https://openalex.org/works?filter=author.id:A5111361941) · [441 citations](https://openalex.org/works?filter=author.id:A5111361941&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shanghua-gao/#papers) · [🔗 Cited 34 times in our library](https://md.research.elamur.ai/free/en/authors/shanghua-gao/cited-by/) · [⭐ Paper Stars ranking: #5328](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5328) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Shanghua+Gao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shanghua+Gao) · [dblp](https://dblp.org/search?q=Shanghua+Gao) · [ACL Anthology](https://aclanthology.org/search/?q=Shanghua+Gao) ## Affiliations [🎓**Harvard University** Cambridge · United States 2024–2026 · 13 papers*current*](https://md.research.elamur.ai/free/en/universities/harvard-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Medicine · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Health Informatics · 2 works](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/) · [Computational Theory and Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computational-theory-and-mathematics/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/shanghua-gao/year/2025/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/shanghua-gao/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[Empowering Biomedical Discovery with AI Agents](https://md.research.elamur.ai/free/en/papers/gao-2024-empowering-biomedical-discovery-ai-agents/)** *(2024 · 333 citations)* This is a perspective paper, not an empirical study. It introduces no new dataset, benchmark or model. The authors ask how the long-held goal of an "AI scientist" could become practical in biomedicine. They argue that foundation models on their own are not enough. Next-token prediction suits generating fluent text… 2. **[TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools](https://md.research.elamur.ai/free/en/papers/gao-2025-txagent-ai-agent-therapeutic-reasoning/)** *(2025 · 17 citations)* Picking the right drug for a particular patient means weighing comorbidities, co-medications, interactions and contraindications. ## Co-authors here 3 co-authors with a page, the most papers together first. - [Ayush Noori](https://md.research.elamur.ai/free/en/authors/ayush-noori/) ×2 - [Marinka Zitnik](https://md.research.elamur.ai/free/en/authors/marinka-zitnik/) ×2 - [Richard Zhu](https://md.research.elamur.ai/free/en/authors/richard-zhu/) ## Cited by Papers of our library cite their works 34 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/shanghua-gao/cited-by/). Updated 3 November 2026