Maya Modak
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
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- Computational Drug Discovery Methods
Papers in
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- SARS-CoV-2 and COVID-19 Research 4
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- Advanced Proteomics Techniques and Applications 2
- Co-authors
- Keiichiro Ono (1 shared paper)Jing Chen (1 shared paper)Robert William Sobol (1 shared paper)Nevan J. Krogan (1 shared paper)Marcus R. Kelly (1 shared paper)Jianfeng Li (1 shared paper)Christopher Churas (1 shared paper)Jisoo Park (1 shared paper)
- Journals
- Science (2 papers)Nature (1 paper)Cell Systems (1 paper)Cell (1 paper)Carolina Digital Repository (University of North Carolina at Chapel Hill) (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Maya Modak
6 papers receiving 4.8k citations
Maya Modak's Hit Papers
Peers
Comparison fields: 5 of 125
- Infectious Diseases 2.9k
- Computational Theory and Mathematics 525
- Molecular Biology 1.4k
- General Dentistry 8
- Immunology 292
Countries citing papers authored by Maya Modak
This map shows the geographic impact of Maya Modak'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 Maya Modak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Modak more than expected).
Fields of papers citing papers by Maya Modak
This network shows the impact of papers produced by Maya Modak. 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 Maya Modak. The network helps show where Maya Modak may publish in the future.
Co-authors
The 16 scholars most cited alongside Maya Modak, 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 | A SARS-CoV-2 protein interaction map reveals targets for drug repurposing Hit paper breakdown → | 2020 | 3434 |
| 2 | The Global Phosphorylation Landscape of SARS-CoV-2 Infection Hit paper breakdown → | 2020 | 803 |
| 3 | 2020 | 551 | |
| 4 | 2021 | 103 | |
| 5 | 2023 | 18 | |
| 6 | 2020 | 2 |
About Maya Modak
Maya Modak is a scholar working on Infectious Diseases, Spectroscopy, Molecular Biology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 6 papers that have together received 4.9k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (4 papers), Advanced Proteomics Techniques and Applications (2 papers), PI3K/AKT/mTOR signaling in cancer (1 paper), DNA Repair Mechanisms (1 paper) and Bioinformatics and Genomic Networks (1 paper). The work is most often cited by research in Infectious Diseases (2.9k citations), Computational Theory and Mathematics (525 citations), Molecular Biology (1.4k citations), General Dentistry (8 citations) and Immunology (292 citations). Maya Modak has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Keiichiro Ono, Jing Chen, Robert William Sobol, Nevan J. Krogan, Marcus R. Kelly, Jianfeng Li, Christopher Churas, Jisoo Park, Ideker Trey and Fan Zheng. Their work appears in journals such as Science, Nature, Cell Systems, Cell and Carolina Digital Repository (University of North Carolina at Chapel Hill).
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.