Nathaniel Twarog
Impact in
-
- Computational Drug Discovery Methods
Papers in
- Co-authors
- Anang A. Shelat (10 shared papers)Elizabeth Stewart (1 shared paper)Martin Wattenberg (2 shared papers)Ruth Rosenholtz (2 shared papers)Michele Connelly (2 shared papers)Edward H. Adelson (1 shared paper)Marshall F. Tappen (1 shared paper)Taosheng Chen (2 shared papers)
- Journals
- Scientific Reports (2 papers)Analytical Chemistry (1 paper)Journal of Vision (1 paper)Drug Discovery Today (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Nathaniel Twarog
9 papers receiving 119 citations
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 34
- Human-Computer Interaction 8
- Biophysics 7
- Pharmacology 10
- Computer Vision and Pattern Recognition 23
Countries citing papers authored by Nathaniel Twarog
This map shows the geographic impact of Nathaniel Twarog'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 Nathaniel Twarog with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nathaniel Twarog more than expected).
Fields of papers citing papers by Nathaniel Twarog
This network shows the impact of papers produced by Nathaniel Twarog. 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 Nathaniel Twarog. The network helps show where Nathaniel Twarog may publish in the future.
Co-authors
The 25 scholars most cited alongside Nathaniel Twarog, 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 | 2016 | 47 | |
| 2 | 2009 | 24 | |
| 3 | 2016 | 12 | |
| 4 | 2020 | 11 | |
| 5 | 2012 | 10 | |
| 6 | 2024 | 7 | |
| 7 | 2021 | 6 | |
| 8 | 2023 | 2 | |
| 9 | 2016 | 2 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 | |
| 12 | 2025 | 0 | |
| 13 | 2010 | 0 |
About Nathaniel Twarog
Nathaniel Twarog is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Oncology, Computational Theory and Mathematics and Pharmacology, having authored 13 papers that have together received 121 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (3 papers), Computational Drug Discovery Methods (2 papers), Analytical Chemistry and Chromatography (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Advanced Chemical Sensor Technologies (1 paper), Cell Image Analysis Techniques (1 paper), Image Processing Techniques and Applications (1 paper) and Machine Learning in Materials Science (1 paper). The work is most often cited by research in Computational Theory and Mathematics (34 citations), Human-Computer Interaction (8 citations), Biophysics (7 citations), Pharmacology (10 citations) and Computer Vision and Pattern Recognition (23 citations). Nathaniel Twarog has collaborated with scholars based in United States and Egypt. Frequent co-authors include Anang A. Shelat, Elizabeth Stewart, Martin Wattenberg, Ruth Rosenholtz, Michele Connelly, Edward H. Adelson, Marshall F. Tappen, Taosheng Chen, Duane Currier and Greg Miller. Their work appears in journals such as Scientific Reports, Analytical Chemistry, Journal of Vision, Drug Discovery Today and Antimicrobial Agents and Chemotherapy.
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.