Vikram Paradkar
Impact in
- Biotechnology top 1%
- Transgenic Plants and Applications
- Molecular Biology top 10%
- Plant tissue culture and regeneration
- Enzyme Catalysis and Immobilization
- CRISPR and Genetic Engineering
- Photosynthetic Processes and Mechanisms
Papers in
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- Lipid Membrane Structure and Behavior 2
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- SARS-CoV-2 and COVID-19 Research 3
- Viral gastroenteritis research and epidemiology 3
- COVID-19 Clinical Research Studies 1
- Co-authors
- Jonathan S. Dordick (5 shared papers)James A. Carroll (3 shared papers)Douglas A. Russell (3 shared papers)Michael R. Schlittler (4 shared papers)Jeffrey M. Staub (1 shared paper)Guang‐Ning Ye (1 shared paper)Peter T. J. Hajdukiewicz (1 shared paper)Narender S. Nehra (1 shared paper)
- Journals
- Biotechnology and Bioengineering (3 papers)Biotechnology Progress (2 papers)Nature Biotechnology (2 papers)Human Vaccines & Immunotherapeutics (1 paper)Enzyme and Microbial Technology (1 paper)
- Partner nations
- United StatesIndiaSwitzerland
In The Last Decade
Vikram Paradkar
15 papers receiving 904 citations
Peers
Comparison fields: 5 of 82
- Biotechnology 454
- Molecular Biology 771
- Spectroscopy 75
- Immunology 96
- Filtration and Separation 8
Countries citing papers authored by Vikram Paradkar
This map shows the geographic impact of Vikram Paradkar'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 Vikram Paradkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikram Paradkar more than expected).
Fields of papers citing papers by Vikram Paradkar
This network shows the impact of papers produced by Vikram Paradkar. 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 Vikram Paradkar. The network helps show where Vikram Paradkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikram Paradkar, 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 | 2000 | 328 | |
| 2 | 1998 | 184 | |
| 3 | 1994 | 133 | |
| 4 | 1994 | 107 | |
| 5 | 1993 | 43 | |
| 6 | 2022 | 39 | |
| 7 | 1991 | 35 | |
| 8 | 1997 | 35 | |
| 9 | 2005 | 22 | |
| 10 | 2022 | 18 | |
| 11 | 2023 | 8 | |
| 12 | Host limits to accurate human growth hormone production in multiple plant systems. Biotechnol Bioeng | 2005 | 2 |
| 13 | 2005 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2022 | 1 |
About Vikram Paradkar
Vikram Paradkar is a scholar working on Molecular Biology, Infectious Diseases, Biotechnology, Health and Organic Chemistry, having authored 15 papers that have together received 958 indexed citations. Recurring topics across this work include Transgenic Plants and Applications (4 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Vaccine Coverage and Hesitancy (3 papers), Viral gastroenteritis research and epidemiology (3 papers), Lipid Membrane Structure and Behavior (2 papers), Surfactants and Colloidal Systems (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and COVID-19 Clinical Research Studies (1 paper). The work is most often cited by research in Biotechnology (454 citations), Molecular Biology (771 citations), Spectroscopy (75 citations), Immunology (96 citations) and Filtration and Separation (8 citations). Vikram Paradkar has collaborated with scholars based in United States, India and Switzerland. Frequent co-authors include Jonathan S. Dordick, James A. Carroll, Douglas A. Russell, Michael R. Schlittler, Jeffrey M. Staub, Guang‐Ning Ye, Peter T. J. Hajdukiewicz, Narender S. Nehra, Larry Zeitlin and Cary Queen. Their work appears in journals such as Biotechnology and Bioengineering, Biotechnology Progress, Nature Biotechnology, Human Vaccines & Immunotherapeutics and Enzyme and Microbial Technology.
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.