Vijay K. Sharma
- Endocrinology top 0.5%
- Escherichia coli research studies 28
- Vibrio bacteria research studies 5
- Food Science top 1%
- Salmonella and Campylobacter epidemiology 13
- Probiotics and Fermented Foods 7
- Biotechnology top 2%
- Listeria monocytogenes in Food Safety 4
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 18
- Molecular Medicine top 5%
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- Bacteriophages and microbial interactions 12
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- Bacterial Genetics and Biotechnology 9
- Co-authors
- Steve A. CarlsonH. KieftAndré A. M. van LammerenThérèse OuelletChunming LiuJiro HattoriMichiel M. Van Lookeren CampagneBrian Miki
- Journals
- Applied and Environmental Microbiology (7 papers)Journal of Bacteriology (4 papers)PLoS ONE (4 papers)
- Partner nations
- United StatesIndiaMexico
In The Last Decade
Vijay K. Sharma
61 papers receiving 2.4k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Endocrinology 676
- Food Science 632
- Biotechnology 299
- Infectious Diseases 489
- Molecular Medicine 128
Countries citing papers authored by Vijay K. Sharma
This map shows the geographic impact of Vijay K. Sharma'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 Vijay K. Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vijay K. Sharma more than expected).
Fields of papers citing papers by Vijay K. Sharma
This network shows the impact of papers produced by Vijay K. Sharma. 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 Vijay K. Sharma. The network helps show where Vijay K. Sharma may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vijay K. Sharma, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2020 | 11 | |
| 5 | 2019 | 23 | |
| 6 | 2018 | 2 | |
| 7 | 2017 | 15 | |
| 8 | 2014 | 12 | |
| 9 | 2012 | 79 | |
| 10 | 2011 | 20 | |
| 11 | 2011 | 2 | |
| 12 | 2007 | 15 | |
| 13 | 2005 | 16 | |
| 14 | 2004 | 23 | |
| 15 | 2004 | 23 | |
| 16 | 2003 | 62 | |
| 17 | 2002 | 94 | |
| 18 | 1998 | 77 | |
| 19 | 1995 | 88 | |
| 20 | 1986 | 8 |
About Vijay K. Sharma
Vijay K. Sharma is a scholar working on Endocrinology, Food Science, Infectious Diseases, Biotechnology and Molecular Medicine, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Escherichia coli research studies (28 papers), Viral gastroenteritis research and epidemiology (18 papers), Salmonella and Campylobacter epidemiology (13 papers), Bacteriophages and microbial interactions (12 papers), Bacterial Genetics and Biotechnology (9 papers), Probiotics and Fermented Foods (7 papers), Vibrio bacteria research studies (5 papers) and Listeria monocytogenes in Food Safety (4 papers). The work is most often cited by research in Endocrinology (676 citations), Food Science (632 citations), Biotechnology (299 citations), Infectious Diseases (489 citations) and Molecular Medicine (128 citations). Vijay K. Sharma has collaborated with scholars based in United States, India and Mexico. Frequent co-authors include Steve A. Carlson, H. Kieft, André A. M. van Lammeren, Thérèse Ouellet, Chunming Liu, Jiro Hattori, Michiel M. Van Lookeren Campagne, Brian Miki, Lemin Zhang and J.B.M. Custers. Their work appears in journals such as Applied and Environmental Microbiology, Journal of Bacteriology, PLoS ONE, Infection and Immunity and Scientific Reports.
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.