Amit K. Baidya
Impact in
- Endocrinology top 10%
- Vibrio bacteria research studies
- Microbiology top 10%
- Bacterial Infections and Vaccines
Papers in
-
- Bacterial biofilms and quorum sensing 3
- Bacillus and Francisella bacterial research 1
- Genetics 6
- Bacterial Genetics and Biotechnology 6
- Co-authors
- Sigal Ben‐Yehuda (8 shared papers)Saurabh Kumar Bhattacharya (5 shared papers)Gideon Mamou (4 shared papers)Ilan Rosenshine (5 shared papers)Ritesh Ranjan Pal (4 shared papers)Gyanendra P. Dubey (1 shared paper)Rukhsana Chowdhury (2 shared papers)Elhanan Tzipilevich (1 shared paper)
- Journals
- Nature Communications (2 papers)Journal of Bacteriology (2 papers)Cell Reports (1 paper)Current Opinion in Microbiology (1 paper)Cell (1 paper)
- Partner nations
- IsraelIndiaUnited States
In The Last Decade
Amit K. Baidya
12 papers receiving 294 citations
Peers
Comparison fields: 5 of 68
- Endocrinology 62
- Microbiology 41
- Molecular Medicine 24
- Ecology 78
- Genetics 75
Countries citing papers authored by Amit K. Baidya
This map shows the geographic impact of Amit K. Baidya'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 K. Baidya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit K. Baidya more than expected).
Fields of papers citing papers by Amit K. Baidya
This network shows the impact of papers produced by Amit K. Baidya. 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 K. Baidya. The network helps show where Amit K. Baidya may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit K. Baidya, 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 | 2017 | 56 | |
| 2 | 2019 | 50 | |
| 3 | 2017 | 46 | |
| 4 | 2019 | 38 | |
| 5 | 2019 | 27 | |
| 6 | 2009 | 26 | |
| 7 | 2020 | 23 | |
| 8 | 2014 | 11 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 7 | |
| 11 | 2022 | 3 | |
| 12 | 2025 | 1 |
About Amit K. Baidya
Amit K. Baidya is a scholar working on Molecular Biology, Genetics, Endocrinology, Molecular Medicine and Environmental Engineering, having authored 12 papers that have together received 295 indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (6 papers), Bacterial biofilms and quorum sensing (3 papers), Vibrio bacteria research studies (2 papers), Escherichia coli research studies (2 papers), Microbial Fuel Cells and Bioremediation (2 papers), Antibiotic Resistance in Bacteria (2 papers), Bacillus and Francisella bacterial research (1 paper) and Click Chemistry and Applications (1 paper). The work is most often cited by research in Endocrinology (62 citations), Microbiology (41 citations), Molecular Medicine (24 citations), Ecology (78 citations) and Genetics (75 citations). Amit K. Baidya has collaborated with scholars based in Israel, India and United States. Frequent co-authors include Sigal Ben‐Yehuda, Saurabh Kumar Bhattacharya, Gideon Mamou, Ilan Rosenshine, Ritesh Ranjan Pal, Gyanendra P. Dubey, Rukhsana Chowdhury, Elhanan Tzipilevich, Simi Kobi and Ganesh Babu Malli Mohan. Their work appears in journals such as Nature Communications, Journal of Bacteriology, Cell Reports, Current Opinion in Microbiology and Cell.
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.