Pramod Kumar
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Vibrio bacteria research studies 14
- Co-authors
- Ajay Kumar Goel (15 shared papers)Pramod Kumar Yadava (12 shared papers)Krishna Kant Sharma (2 shared papers)Ravinder K. Kaundal (1 shared paper)Sandeep Vasant More (1 shared paper)Shyam Sunder Sharma (1 shared paper)Rishi Kumar Jaiswal (4 shared papers)Shruti Ahlawat (1 shared paper)
- Journals
- Nucleosides Nucleotides & Nucleic Acids (3 papers)Infection Genetics and Evolution (2 papers)PLoS ONE (2 papers)Journal of Molecular Catalysis B Enzymatic (1 paper)Journal of Medical Microbiology (1 paper)
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Pramod Kumar
59 papers receiving 936 citations
Peers
Comparison fields: 5 of 123
- Endocrinology 273
- Molecular Medicine 82
- Food Science 141
- Immunology 147
- Biotechnology 59
Countries citing papers authored by Pramod Kumar
This map shows the geographic impact of Pramod 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 Pramod Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pramod Kumar more than expected).
Fields of papers citing papers by Pramod Kumar
This network shows the impact of papers produced by Pramod 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 Pramod Kumar. The network helps show where Pramod Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Pramod 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 90 | |
| 2 | 2021 | 85 | |
| 3 | 2009 | 81 | |
| 4 | 2019 | 71 | |
| 5 | 2009 | 58 | |
| 6 | 2015 | 49 | |
| 7 | 2018 | 36 | |
| 8 | 2013 | 30 | |
| 9 | 2015 | 28 | |
| 10 | 2013 | 25 | |
| 11 | 2020 | 24 | |
| 12 | 2022 | 24 | |
| 13 | 2014 | 23 | |
| 14 | 2014 | 22 | |
| 15 | 2011 | 21 | |
| 16 | 2012 | 20 | |
| 17 | 2023 | 19 | |
| 18 | 2022 | 18 | |
| 19 | 2016 | 18 | |
| 20 | 2022 | 17 |
About Pramod Kumar
Pramod Kumar is a scholar working on Endocrinology, Molecular Biology, Immunology, Molecular Medicine and Food Science, having authored 65 papers that have together received 962 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (14 papers), Aquaculture disease management and microbiota (9 papers), Antibiotic Resistance in Bacteria (8 papers), Salmonella and Campylobacter epidemiology (6 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Indoor Air Quality and Microbial Exposure (3 papers), Telomeres, Telomerase, and Senescence (3 papers) and Fungal Biology and Applications (3 papers). The work is most often cited by research in Endocrinology (273 citations), Molecular Medicine (82 citations), Food Science (141 citations), Immunology (147 citations) and Biotechnology (59 citations). Pramod Kumar has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Ajay Kumar Goel, Pramod Kumar Yadava, Krishna Kant Sharma, Ravinder K. Kaundal, Sandeep Vasant More, Shyam Sunder Sharma, Rishi Kumar Jaiswal, Shruti Ahlawat, Sandeep Goyal and Hari Mohan. Their work appears in journals such as Nucleosides Nucleotides & Nucleic Acids, Infection Genetics and Evolution, PLoS ONE, Journal of Molecular Catalysis B Enzymatic and Journal of Medical Microbiology.
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.