Deeptak Verma
- Molecular Biology
- Organic Chemistry
- Radiology, Nuclear Medicine and Imaging
- Materials Chemistry
- Computational Theory and Mathematics top 10%
- Co-authors
- Dennis R. LivesayDonald J. JacobsChris Bailey‐KelloggKarl E. GriswoldNicholas MarshallYuting XuAndy LiawPradeep Kumar Naik
- Topics
- Monoclonal and Polyclonal Antibodies Research (9 papers)Protein Structure and Dynamics (5 papers)HIV Research and Treatment (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyACS Catalysis
- Partner nations
- United StatesIndiaAustria
In The Last Decade
Deeptak Verma
27 papers receiving 645 citations
Peers
Comparison fields: 5 of 91
- Molecular Biology 428
- Organic Chemistry 117
- Radiology, Nuclear Medicine and Imaging 93
- Materials Chemistry 74
- Computational Theory and Mathematics 65
Countries citing papers authored by Deeptak Verma
This map shows the geographic impact of Deeptak Verma'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 Deeptak Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deeptak Verma more than expected).
Fields of papers citing papers by Deeptak Verma
This network shows the impact of papers produced by Deeptak Verma. 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 Deeptak Verma. The network helps show where Deeptak Verma may publish in the future.
Co-authorship network of co-authors of Deeptak Verma
This figure shows the co-authorship network connecting the top 25 collaborators of Deeptak Verma. A scholar is included among the top collaborators of Deeptak Verma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deeptak Verma. Deeptak Verma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 21 | |
| 4 | 101 | |
| 5 | 13 | |
| 6 | 19 | |
| 7 | 23 | |
| 8 | 6 | |
| 9 | 30 | |
| 10 | 47 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 10 | |
| 14 | 3 | |
| 15 | 21 | |
| 16 | 38 | |
| 17 | 14 | |
| 18 | 13 | |
| 19 | 6 | |
| 20 | 35 |
About Deeptak Verma
Deeptak Verma is a scholar working on Virology, Molecular Medicine and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 657 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein Structure and Dynamics (5 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Molecular Medicine (42 citations), Molecular Biology (428 citations) and Computational Theory and Mathematics (65 citations). Deeptak Verma has collaborated with scholars based in United States, India and Austria. Frequent co-authors include Dennis R. Livesay, Donald J. Jacobs, Chris Bailey‐Kellogg, Karl E. Griswold, Nicholas Marshall, Yuting Xu, Andy Liaw, Pradeep Kumar Naik, Robert P. Sheridan and Yuxuan Ye. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and ACS Catalysis.
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.