Nathaniel Twarog
Impact in
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- Computational Drug Discovery Methods
Papers in
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- DNA Repair Mechanisms 1
- Gene expression and cancer classification 1
- Oncology 4
- PARP inhibition in cancer therapy 4
- Co-authors
- Anang A. Shelat (12 shared papers)Elizabeth Stewart (2 shared papers)Ruth Rosenholtz (2 shared papers)Martin Wattenberg (2 shared papers)Michele Connelly (3 shared papers)Marshall F. Tappen (1 shared paper)Edward H. Adelson (1 shared paper)Duane Currier (1 shared paper)
- Journals
- Scientific Reports (2 papers)Med (1 paper)Malaria Journal (1 paper)Drug Discovery Today (1 paper)Nature (1 paper)
- Partner nations
- United StatesFinlandEgypt
In The Last Decade
Nathaniel Twarog
11 papers receiving 140 citations
Peers
Comparison fields: 5 of 67
- Computational Theory and Mathematics 32
- 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 | 48 | |
| 2 | 2009 | 24 | |
| 3 | 2021 | 13 | |
| 4 | 2020 | 13 | |
| 5 | 2016 | 12 | |
| 6 | 2024 | 11 | |
| 7 | 2012 | 10 | |
| 8 | 2021 | 6 | |
| 9 | 2023 | 3 | |
| 10 | 2016 | 2 | |
| 11 | 2025 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2026 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2010 | 0 |
About Nathaniel Twarog
Nathaniel Twarog is a scholar working on Molecular Biology, Oncology, Computer Vision and Pattern Recognition, Computational Theory and Mathematics and Media Technology, having authored 15 papers that have together received 143 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (4 papers), Computational Drug Discovery Methods (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Analytical Chemistry and Chromatography (2 papers), DNA Repair Mechanisms (1 paper), Color Science and Applications (1 paper), Gene expression and cancer classification (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Computational Theory and Mathematics (32 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, Finland and Egypt. Frequent co-authors include Anang A. Shelat, Elizabeth Stewart, Ruth Rosenholtz, Martin Wattenberg, Michele Connelly, Marshall F. Tappen, Edward H. Adelson, Duane Currier, Taosheng Chen and Jonathan Low. Their work appears in journals such as Scientific Reports, Med, Malaria Journal, Drug Discovery Today and Nature.
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.