Abhinav Kumar
Impact in
- Virology top 10%
- HIV Research and Treatment
- Analytical Chemistry top 5%
- Chromatography in Natural Products
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Protein Structure and Dynamics 3
- Biochemical and Molecular Research 3
- Signaling Pathways in Disease 2
-
- Enzyme Structure and Function 6
- Co-authors
- David V. McCalley (2 shared papers)James Heaton (1 shared paper)John P. Hart (1 shared paper)Wim G. J. Hol (4 shared papers)Yoshihisa Suzuki (2 shared papers)James Tsai (2 shared papers)Prabha N. Ibrahim (1 shared paper)Dean R. Artis (1 shared paper)
- Journals
- Protein Science (3 papers)Dyes and Pigments (2 papers)Structure (2 papers)Materials Today Chemistry (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Abhinav Kumar
34 papers receiving 763 citations
Peers
Comparison fields: 5 of 88
- Virology 52
- Analytical Chemistry 84
- Spectroscopy 141
- Pathology and Forensic Medicine 120
- Molecular Biology 423
Countries citing papers authored by Abhinav Kumar
This map shows the geographic impact of Abhinav Kumar'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 Abhinav Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Kumar more than expected).
Fields of papers citing papers by Abhinav Kumar
This network shows the impact of papers produced by Abhinav Kumar. 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 Abhinav Kumar. The network helps show where Abhinav Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Abhinav Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 136 | |
| 2 | 2012 | 92 | |
| 3 | 2011 | 67 | |
| 4 | 2016 | 65 | |
| 5 | 2006 | 61 | |
| 6 | 2003 | 45 | |
| 7 | 2001 | 43 | |
| 8 | 2001 | 41 | |
| 9 | 2002 | 37 | |
| 10 | 2006 | 33 | |
| 11 | 1999 | 24 | |
| 12 | 2004 | 21 | |
| 13 | 2018 | 16 | |
| 14 | 2020 | 13 | |
| 15 | 2011 | 13 | |
| 16 | 2010 | 12 | |
| 17 | 2013 | 9 | |
| 18 | 2014 | 8 | |
| 19 | 2016 | 7 | |
| 20 | 2007 | 7 |
About Abhinav Kumar
Abhinav Kumar is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Inorganic Chemistry and Epidemiology, having authored 38 papers that have together received 791 indexed citations. Recurring topics across this work include Metal-Organic Frameworks: Synthesis and Applications (6 papers), Enzyme Structure and Function (6 papers), Molecular Sensors and Ion Detection (5 papers), Glycosylation and Glycoproteins Research (4 papers), Protein Structure and Dynamics (3 papers), Biochemical and Molecular Research (3 papers), Peptidase Inhibition and Analysis (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Virology (52 citations), Analytical Chemistry (84 citations), Spectroscopy (141 citations), Pathology and Forensic Medicine (120 citations) and Molecular Biology (423 citations). Abhinav Kumar has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include David V. McCalley, James Heaton, John P. Hart, Wim G. J. Hol, Yoshihisa Suzuki, James Tsai, Prabha N. Ibrahim, Dean R. Artis, Valsan Mandiyan and Ryan Bremer. Their work appears in journals such as Protein Science, Dyes and Pigments, Structure, Materials Today Chemistry and Journal of Molecular Biology.
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.