Vivek Kumar
Impact in
- Biomaterials top 0.5%
- Electrospun Nanofibers in Biomedical Applications
- Supramolecular Self-Assembly in Materials
- Molecular Medicine top 5%
Papers in
-
- Receptor Mechanisms and Signaling 24
- Pharmacological Receptor Mechanisms and Effects 8
- Biomaterials 35
- Supramolecular Self-Assembly in Materials 16
- Electrospun Nanofibers in Biomedical Applications 15
- Co-authors
- Jeffrey D. Hartgerink (8 shared papers)Elliot L. Chaikof (12 shared papers)Jeffrey M. Caves (8 shared papers)Siyu Shi (10 shared papers)Benjamin K. Wang (4 shared papers)Nichole L. Taylor (3 shared papers)Zain Siddiqui (22 shared papers)Abhishek A. Jalan (3 shared papers)
- Journals
- Journal of Medicinal Chemistry (9 papers)Biomacromolecules (6 papers)Bioactive Materials (5 papers)Biomaterials (4 papers)Advanced Therapeutics (3 papers)
- Partner nations
- United StatesIndiaSouth Africa
In The Last Decade
Vivek Kumar
130 papers receiving 3.8k citations
Peers
Comparison fields: 5 of 129
- Biomaterials 1.3k
- Molecular Medicine 153
- Cellular and Molecular Neuroscience 467
- Microbiology 131
- Surfaces, Coatings and Films 157
Countries citing papers authored by Vivek Kumar
This map shows the geographic impact of Vivek 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 Vivek Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vivek Kumar more than expected).
Fields of papers citing papers by Vivek Kumar
This network shows the impact of papers produced by Vivek 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 Vivek Kumar. The network helps show where Vivek Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vivek 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 183 | |
| 2 | 2014 | 149 | |
| 3 | 2015 | 148 | |
| 4 | 2013 | 141 | |
| 5 | 2006 | 126 | |
| 6 | 2015 | 118 | |
| 7 | 2015 | 113 | |
| 8 | 2011 | 101 | |
| 9 | 2016 | 97 | |
| 10 | 2015 | 94 | |
| 11 | 2010 | 93 | |
| 12 | 2011 | 82 | |
| 13 | 2014 | 81 | |
| 14 | 2016 | 75 | |
| 15 | 2009 | 71 | |
| 16 | 2011 | 68 | |
| 17 | 2008 | 64 | |
| 18 | 2018 | 63 | |
| 19 | 2020 | 59 | |
| 20 | 2018 | 55 |
About Vivek Kumar
Vivek Kumar is a scholar working on Molecular Biology, Biomaterials, Cellular and Molecular Neuroscience, Organic Chemistry and Biomedical Engineering, having authored 134 papers that have together received 3.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (24 papers), Supramolecular Self-Assembly in Materials (16 papers), Electrospun Nanofibers in Biomedical Applications (15 papers), Neuropeptides and Animal Physiology (14 papers), Computational Drug Discovery Methods (9 papers), Synthesis and biological activity (9 papers), Neurotransmitter Receptor Influence on Behavior (8 papers) and Pharmacological Receptor Mechanisms and Effects (8 papers). The work is most often cited by research in Biomaterials (1.3k citations), Molecular Medicine (153 citations), Cellular and Molecular Neuroscience (467 citations), Microbiology (131 citations) and Surfaces, Coatings and Films (157 citations). Vivek Kumar has collaborated with scholars based in United States, India and South Africa. Frequent co-authors include Jeffrey D. Hartgerink, Elliot L. Chaikof, Jeffrey M. Caves, Siyu Shi, Benjamin K. Wang, Nichole L. Taylor, Zain Siddiqui, Abhishek A. Jalan, Carolyn A. Haller and Biplab Sarkar. Their work appears in journals such as Journal of Medicinal Chemistry, Biomacromolecules, Bioactive Materials, Biomaterials and Advanced Therapeutics.
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.