Prashanth P. Parmar
Impact in
- Endocrinology top 5%
- Spectroscopy top 5%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
- Genetics 6
- Yersinia bacterium, plague, ectoparasites research 5
-
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Rembert Pieper (13 shared papers)Clyde A. Hutchison (1 shared paper)Nina Alperovich (1 shared paper)Carole Lartigue (1 shared paper)John I. Glass (1 shared paper)Hamilton O. Smith (1 shared paper)J. Craig Venter (1 shared paper)David Clark (10 shared papers)
- Journals
- PROTEOMICS (5 papers)Infection and Immunity (1 paper)Microbiology (1 paper)BMC Microbiology (1 paper)Science (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Prashanth P. Parmar
13 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 111
- Endocrinology 104
- Spectroscopy 289
- Microbiology 84
- Molecular Biology 752
- Genetics 266
Countries citing papers authored by Prashanth P. Parmar
This map shows the geographic impact of Prashanth P. Parmar'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 Prashanth P. Parmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prashanth P. Parmar more than expected).
Fields of papers citing papers by Prashanth P. Parmar
This network shows the impact of papers produced by Prashanth P. Parmar. 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 Prashanth P. Parmar. The network helps show where Prashanth P. Parmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Prashanth P. Parmar, 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 | 2003 | 444 | |
| 2 | 2007 | 326 | |
| 3 | 2006 | 94 | |
| 4 | 2009 | 71 | |
| 5 | 2006 | 70 | |
| 6 | 2013 | 41 | |
| 7 | 2009 | 35 | |
| 8 | 2010 | 31 | |
| 9 | 2009 | 30 | |
| 10 | 2008 | 28 | |
| 11 | 2009 | 25 | |
| 12 | 2013 | 15 | |
| 13 | 2008 | 5 |
About Prashanth P. Parmar
Prashanth P. Parmar is a scholar working on Genetics, Molecular Biology, Infectious Diseases, Clinical Biochemistry and Pharmacology, having authored 13 papers that have together received 1.2k indexed citations. Recurring topics across this work include Yersinia bacterium, plague, ectoparasites research (5 papers), Bacterial Identification and Susceptibility Testing (3 papers), Plant-based Medicinal Research (3 papers), Advanced Proteomics Techniques and Applications (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Escherichia coli research studies (2 papers), Pharmacological Effects of Natural Compounds (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Endocrinology (104 citations), Spectroscopy (289 citations), Microbiology (84 citations), Molecular Biology (752 citations) and Genetics (266 citations). Prashanth P. Parmar has collaborated with scholars based in United States and Italy. Frequent co-authors include Rembert Pieper, Clyde A. Hutchison, Nina Alperovich, Carole Lartigue, John I. Glass, Hamilton O. Smith, J. Craig Venter, David Clark, Shih‐Ting Huang and Scott N. Peterson. Their work appears in journals such as PROTEOMICS, Infection and Immunity, Microbiology, BMC Microbiology and Science.
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.