Jocelyn Sunseri
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 7
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- Protein Structure and Dynamics 3
- vaccines and immunoinformatics approaches 1
- Metabolomics and Mass Spectrometry Studies 1
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- Machine Learning in Materials Science 5
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- Click Chemistry and Applications 1
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- Innovative Microfluidic and Catalytic Techniques Innovation 1
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- Analytical Chemistry and Chromatography 1
- Co-authors
- David Ryan KoesPaul FrancoeurTomohide MasudaMatthew RagozaRishal AggarwalRocco MeliAndrew T. McNuttI. M. Snyder
- Journals
- Nucleic Acids Research (1 paper)Journal of Chemical Information and Modeling (2 papers)Journal of Computer-Aided Molecular Design (2 papers)
- Partner nations
- United StatesIndiaIran
In The Last Decade
Jocelyn Sunseri
8 papers receiving 972 citations
Hit Papers
Peers
Comparison fields: 5 of 115
- Computational Theory and Mathematics 629
- Molecular Biology 637
- Materials Chemistry 240
- Pharmacology 87
- Organic Chemistry 130
Countries citing papers authored by Jocelyn Sunseri
This map shows the geographic impact of Jocelyn Sunseri'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 Jocelyn Sunseri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jocelyn Sunseri more than expected).
Fields of papers citing papers by Jocelyn Sunseri
This network shows the impact of papers produced by Jocelyn Sunseri. 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 Jocelyn Sunseri. The network helps show where Jocelyn Sunseri may publish in the future.
Co-authorship network
The 15 scholars most cited alongside Jocelyn Sunseri, 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 | GNINA 1.0: molecular docking with deep learningbreakdown → | 2021 | 397 |
| 2 | 2020 | 39 | |
| 3 | 2020 | 175 | |
| 4 | 2018 | 34 | |
| 5 | 2016 | 60 | |
| 6 | 2016 | 277 | |
| 7 | 2016 | 13 | |
| 8 | 2006 | 1 |
About Jocelyn Sunseri
Jocelyn Sunseri is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology, having authored 8 papers that have together received 996 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (7 papers), Machine Learning in Materials Science (5 papers), Protein Structure and Dynamics (3 papers), vaccines and immunoinformatics approaches (1 paper), Click Chemistry and Applications (1 paper), Innovative Microfluidic and Catalytic Techniques Innovation (1 paper), Metabolomics and Mass Spectrometry Studies (1 paper) and Analytical Chemistry and Chromatography (1 paper). The work is most often cited by research in Computational Theory and Mathematics (629 citations), Molecular Biology (637 citations) and Materials Chemistry (240 citations). Jocelyn Sunseri has collaborated with scholars based in United States, India and Iran. Frequent co-authors include David Ryan Koes, Paul Francoeur, Tomohide Masuda, Matthew Ragoza, Rishal Aggarwal, Rocco Meli, Andrew T. McNutt, I. M. Snyder, Somayeh Pirhadi and Jonathan King. Their work appears in journals such as Nucleic Acids Research, Journal of Chemical Information and Modeling and Journal of Computer-Aided Molecular Design.
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.