Neil P. King
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Structural Biology top 2%
Papers in
- Ecology 25
- Bacteriophages and microbial interactions 23
- Co-authors
- Todd O. YeatesDavid BakerWilliam ShefflerTamir GonenDaniel EllisJesse D. BloomKatharine H. D. CrawfordAdam S. Dingens
- Journals
- Nature (6 papers)Proceedings of the National Academy of Sciences (6 papers)Nature Communications (5 papers)Science (4 papers)Cell Reports (3 papers)
- Partner nations
- United StatesNetherlandsUnited Kingdom
In The Last Decade
Neil P. King
68 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Infectious Diseases 1.8k
- Structural Biology 82
- Biomaterials 603
- Molecular Biology 3.0k
- Ecology 1.1k
Countries citing papers authored by Neil P. King
This map shows the geographic impact of Neil P. King's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Neil P. King with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil P. King more than expected).
Fields of papers citing papers by Neil P. King
This network shows the impact of papers produced by Neil P. King. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Neil P. King. The network helps show where Neil P. King may publish in the future.
Co-authors
The 25 scholars most cited alongside Neil P. King, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 10 | |
| 4 | 2024 | 16 | |
| 5 | 2023 | 5 | |
| 6 | 2023 | 16 | |
| 7 | 2023 | 11 | |
| 8 | Top-down design of protein architectures with reinforcement learning Hit paper breakdown → | 2023 | 76 |
| 9 | 2023 | 4 | |
| 10 | 2022 | 34 | |
| 11 | 2022 | 24 | |
| 12 | 2022 | 8 | |
| 13 | 2021 | 20 | |
| 14 | 2021 | 16 | |
| 15 | 2020 | 152 | |
| 16 | 2020 | 44 | |
| 17 | 2019 | 9 | |
| 18 | 2018 | 49 | |
| 19 | Computational Design of Self-Assembling Protein Nanomaterials with Atomic Level Accuracy Hit paper breakdown → | 2012 | 522 |
| 20 | 2010 | 113 |
About Neil P. King
Neil P. King is a scholar working on Structural Biology, Ecology, Infectious Diseases, Immunology and Molecular Biology, having authored 71 papers that have together received 5.2k indexed citations. Recurring topics across this work include Bacteriophages and microbial interactions (23 papers), RNA and protein synthesis mechanisms (16 papers), Protein Structure and Dynamics (11 papers), SARS-CoV-2 and COVID-19 Research (11 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Enzyme Structure and Function (6 papers), Virus-based gene therapy research (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Infectious Diseases (1.8k citations), Structural Biology (82 citations), Biomaterials (603 citations), Molecular Biology (3.0k citations) and Ecology (1.1k citations). Neil P. King has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Todd O. Yeates, David Baker, William Sheffler, Tamir Gonen, Daniel Ellis, Jesse D. Bloom, Katharine H. D. Crawford, Adam S. Dingens, Jacob B. Bale and David Veesler. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences, Nature Communications, Science and Cell Reports.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.