Vikash Singh
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
Papers in
-
- Vibrio bacteria research studies 7
- Escherichia coli research studies 4
- Co-authors
- Vassilis Koronakis (8 shared papers)Anthony C. Davidson (7 shared papers)Peter Hume (6 shared papers)Michael W. Wood (1 shared paper)Philip W. Jones (1 shared paper)Chandra Shekhar Bakshi (1 shared paper)Edouard E. Galyov (1 shared paper)T. S. Wallis (1 shared paper)
- Journals
- mBio (2 papers)Frontiers in Cellular and Infection Microbiology (1 paper)Cell Reports (1 paper)Cellular Microbiology (1 paper)Gut Pathogens (1 paper)
- Partner nations
- United KingdomIndiaGermany
In The Last Decade
Vikash Singh
23 papers receiving 463 citations
Peers
Comparison fields: 5 of 90
- Endocrinology 183
- Food Science 192
- Molecular Medicine 25
- Cell Biology 63
- Biotechnology 33
Countries citing papers authored by Vikash Singh
This map shows the geographic impact of Vikash Singh'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 Vikash Singh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vikash Singh more than expected).
Fields of papers citing papers by Vikash Singh
This network shows the impact of papers produced by Vikash Singh. 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 Vikash Singh. The network helps show where Vikash Singh may publish in the future.
Co-authors
The 25 scholars most cited alongside Vikash Singh, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 135 | |
| 2 | 2017 | 74 | |
| 3 | 2014 | 35 | |
| 4 | 2017 | 31 | |
| 5 | 2016 | 27 | |
| 6 | 2017 | 24 | |
| 7 | 2014 | 23 | |
| 8 | 2016 | 22 | |
| 9 | 2015 | 20 | |
| 10 | 2013 | 18 | |
| 11 | 2019 | 10 | |
| 12 | 2021 | 9 | |
| 13 | 2019 | 9 | |
| 14 | 2007 | 8 | |
| 15 | 2020 | 7 | |
| 16 | 2018 | 6 | |
| 17 | 2020 | 3 | |
| 18 | 2012 | 3 | |
| 19 | Cloning and sequence analysis of outer membrane protein genes of pasteurella multocida serotype B:2 | 2013 | 2 |
| 20 | 2019 | 2 |
About Vikash Singh
Vikash Singh is a scholar working on Endocrinology, Molecular Biology, Cell Biology, Food Science and Artificial Intelligence, having authored 25 papers that have together received 471 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (7 papers), Salmonella and Campylobacter epidemiology (5 papers), Escherichia coli research studies (4 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cellular transport and secretion (3 papers), Financial Distress and Bankruptcy Prediction (2 papers), Speech Recognition and Synthesis (2 papers) and Bacteriophages and microbial interactions (2 papers). The work is most often cited by research in Endocrinology (183 citations), Food Science (192 citations), Molecular Medicine (25 citations), Cell Biology (63 citations) and Biotechnology (33 citations). Vikash Singh has collaborated with scholars based in United Kingdom, India and Germany. Frequent co-authors include Vassilis Koronakis, Anthony C. Davidson, Peter Hume, Michael W. Wood, Philip W. Jones, Chandra Shekhar Bakshi, Edouard E. Galyov, T. S. Wallis, Daniel Humphreys and Karsten Tedin. Their work appears in journals such as mBio, Frontiers in Cellular and Infection Microbiology, Cell Reports, Cellular Microbiology and Gut Pathogens.
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.