Amit Ghosh
Impact in
- Endocrinology top 0.2%
- Vibrio bacteria research studies
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 29
- Enzyme Catalysis and Immobilization 14
-
- Vibrio bacteria research studies 54
- Co-authors
- Saraswathi Vishveshwara (7 shared papers)Thandavarayan Ramamurthy (25 shared papers)Gururaja Perumal Pazhani (7 shared papers)G. Balakrish Nair (13 shared papers)Ming Tang (4 shared papers)Yurong Yang (4 shared papers)Sumió Shinoda (1 shared paper)Manali Das (8 shared papers)
- Journals
- Infection and Immunity (6 papers)PLoS ONE (5 papers)Scientific Reports (4 papers)Journal of Clinical Microbiology (3 papers)Biotechnology Advances (3 papers)
- Partner nations
- IndiaUnited StatesJapan
In The Last Decade
Amit Ghosh
166 papers receiving 5.7k citations
Peers
Comparison fields: 5 of 156
- Endocrinology 1.5k
- Molecular Medicine 500
- Biotechnology 430
- Molecular Biology 2.3k
- Immunology 678
Countries citing papers authored by Amit Ghosh
This map shows the geographic impact of Amit Ghosh'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 Amit Ghosh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Ghosh more than expected).
Fields of papers citing papers by Amit Ghosh
This network shows the impact of papers produced by Amit Ghosh. 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 Amit Ghosh. The network helps show where Amit Ghosh may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Ghosh, 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 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 371 | |
| 2 | 2005 | 289 | |
| 3 | 2015 | 239 | |
| 4 | 2007 | 213 | |
| 5 | 2015 | 176 | |
| 6 | 2019 | 157 | |
| 7 | 2021 | 151 | |
| 8 | 2009 | 148 | |
| 9 | 2002 | 134 | |
| 10 | 2021 | 129 | |
| 11 | 2016 | 128 | |
| 12 | 2017 | 101 | |
| 13 | 2015 | 92 | |
| 14 | 1985 | 87 | |
| 15 | 2007 | 83 | |
| 16 | 2003 | 83 | |
| 17 | 2019 | 76 | |
| 18 | 2008 | 70 | |
| 19 | 1997 | 69 | |
| 20 | 2016 | 68 |
About Amit Ghosh
Amit Ghosh is a scholar working on Molecular Biology, Endocrinology, Biomedical Engineering, Immunology and Ecology, having authored 172 papers that have together received 5.8k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (54 papers), Microbial Metabolic Engineering and Bioproduction (29 papers), Biofuel production and bioconversion (29 papers), Aquaculture disease management and microbiota (26 papers), Bacteriophages and microbial interactions (21 papers), Salmonella and Campylobacter epidemiology (19 papers), Antibiotic Resistance in Bacteria (16 papers) and Enzyme Catalysis and Immobilization (14 papers). The work is most often cited by research in Endocrinology (1.5k citations), Molecular Medicine (500 citations), Biotechnology (430 citations), Molecular Biology (2.3k citations) and Immunology (678 citations). Amit Ghosh has collaborated with scholars based in India, United States and Japan. Frequent co-authors include Saraswathi Vishveshwara, Thandavarayan Ramamurthy, Gururaja Perumal Pazhani, G. Balakrish Nair, Ming Tang, Yurong Yang, Sumió Shinoda, Manali Das, Pradipta Patra and Bharat Manna. Their work appears in journals such as Infection and Immunity, PLoS ONE, Scientific Reports, Journal of Clinical Microbiology and Biotechnology Advances.
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.