Natesh Singh
Impact in
- Biochemistry top 5%
- Amino Acid Enzymes and Metabolism
-
- Computational Drug Discovery Methods
Papers in
-
- Protein Structure and Dynamics 3
- Epigenetics and DNA Methylation 2
- Chemical Synthesis and Analysis 2
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- Computational Drug Discovery Methods 9
- Co-authors
- Bruno O. Villoutreix (11 shared papers)Gerhard F. Ecker (4 shared papers)Ludovic Chaput (4 shared papers)Katya Tsaioun (2 shared papers)Jean‐Luc Poyet (1 shared paper)Philippe Vayer (1 shared paper)Étienne Decroly (1 shared paper)Abdel‐Majid Khatib (1 shared paper)
- Journals
- International Journal of Molecular Sciences (3 papers)Scientific Reports (1 paper)European Journal of Pharmaceutical Sciences (1 paper)Computational and Structural Biotechnology Journal (1 paper)Drug Discovery Today (1 paper)
- Partner nations
- FranceAustriaUnited States
In The Last Decade
Natesh Singh
16 papers receiving 569 citations
Natesh Singh's Hit Papers
Peers
Comparison fields: 5 of 86
- Biochemistry 106
- Computational Theory and Mathematics 150
- Molecular Biology 371
- Oncology 112
- Hematology 45
Countries citing papers authored by Natesh Singh
This map shows the geographic impact of Natesh Singh'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 Natesh Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natesh Singh more than expected).
Fields of papers citing papers by Natesh Singh
This network shows the impact of papers produced by Natesh Singh. 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 Natesh Singh. The network helps show where Natesh Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Natesh Singh, 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 | 2018 | 132 | |
| 2 | 2018 | 109 | |
| 3 | Drug discovery and development: introduction to the general public and patient groups Hit paper breakdown → | 2023 | 98 |
| 4 | 2020 | 76 | |
| 5 | 2018 | 41 | |
| 6 | 2020 | 40 | |
| 7 | 2019 | 23 | |
| 8 | 2020 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 11 | |
| 11 | 2022 | 5 | |
| 12 | 2020 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2020 | 4 | |
| 15 | 2022 | 2 | |
| 16 | 2016 | 2 |
About Natesh Singh
Natesh Singh is a scholar working on Molecular Biology, Computational Theory and Mathematics, Infectious Diseases, Biochemistry and Immunology, having authored 16 papers that have together received 582 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (9 papers), Protein Structure and Dynamics (3 papers), Amino Acid Enzymes and Metabolism (3 papers), Microbial Natural Products and Biosynthesis (2 papers), Epigenetics and DNA Methylation (2 papers), Chemical Synthesis and Analysis (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Biochemistry (106 citations), Computational Theory and Mathematics (150 citations), Molecular Biology (371 citations), Oncology (112 citations) and Hematology (45 citations). Natesh Singh has collaborated with scholars based in France, Austria and United States. Frequent co-authors include Bruno O. Villoutreix, Gerhard F. Ecker, Ludovic Chaput, Katya Tsaioun, Jean‐Luc Poyet, Philippe Vayer, Étienne Decroly, Abdel‐Majid Khatib, Katja Parapatics and Georg E. Winter. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, European Journal of Pharmaceutical Sciences, Computational and Structural Biotechnology Journal and Drug Discovery Today.
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.