Debnath Ghosal
Impact in
- Endocrinology top 2%
- Vibrio bacteria research studies
- Legionella and Acanthamoeba research
- Escherichia coli research studies
- Structural Biology top 5%
Papers in
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- Genomics and Phylogenetic Studies 7
- Protist diversity and phylogeny 6
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- Legionella and Acanthamoeba research 7
- Vibrio bacteria research studies 6
- Co-authors
- Grant J. Jensen (18 shared papers)Yi‐Wei Chang (9 shared papers)Joseph P. Vogel (6 shared papers)Kwangcheol Casey Jeong (3 shared papers)Jan Löwe (2 shared papers)Linda Amos (1 shared paper)Daniel Trambaiolo (1 shared paper)Catherine M. Oikonomou (5 shared papers)
- Journals
- Nature Communications (5 papers)The EMBO Journal (3 papers)Traffic (2 papers)Cell Reports (2 papers)Nature Microbiology (2 papers)
- Partner nations
- United StatesAustraliaIndia
In The Last Decade
Debnath Ghosal
41 papers receiving 818 citations
Peers
Comparison fields: 5 of 87
- Endocrinology 241
- Structural Biology 59
- Molecular Medicine 69
- Genetics 238
- Molecular Biology 408
Countries citing papers authored by Debnath Ghosal
This map shows the geographic impact of Debnath Ghosal'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 Debnath Ghosal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Debnath Ghosal more than expected).
Fields of papers citing papers by Debnath Ghosal
This network shows the impact of papers produced by Debnath Ghosal. 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 Debnath Ghosal. The network helps show where Debnath Ghosal may publish in the future.
Co-authors
The 25 scholars most cited alongside Debnath Ghosal, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 86 | |
| 2 | 2019 | 77 | |
| 3 | 2014 | 65 | |
| 4 | 2018 | 63 | |
| 5 | 2019 | 48 | |
| 6 | 2017 | 47 | |
| 7 | 2020 | 46 | |
| 8 | 2017 | 42 | |
| 9 | 2019 | 41 | |
| 10 | 2019 | 35 | |
| 11 | 2009 | 31 | |
| 12 | 2017 | 29 | |
| 13 | 2015 | 26 | |
| 14 | 2022 | 22 | |
| 15 | 2022 | 16 | |
| 16 | 2012 | 16 | |
| 17 | 2021 | 14 | |
| 18 | 2017 | 13 | |
| 19 | 2023 | 12 | |
| 20 | 2016 | 10 |
About Debnath Ghosal
Debnath Ghosal is a scholar working on Molecular Biology, Endocrinology, Ecology, Genetics and Cell Biology, having authored 46 papers that have together received 830 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (7 papers), Bacterial Genetics and Biotechnology (7 papers), Genomics and Phylogenetic Studies (7 papers), Vibrio bacteria research studies (6 papers), Protist diversity and phylogeny (6 papers), Bacteriophages and microbial interactions (5 papers), Microtubule and mitosis dynamics (3 papers) and Cellular transport and secretion (3 papers). The work is most often cited by research in Endocrinology (241 citations), Structural Biology (59 citations), Molecular Medicine (69 citations), Genetics (238 citations) and Molecular Biology (408 citations). Debnath Ghosal has collaborated with scholars based in United States, Australia and India. Frequent co-authors include Grant J. Jensen, Yi‐Wei Chang, Joseph P. Vogel, Kwangcheol Casey Jeong, Jan Löwe, Linda Amos, Daniel Trambaiolo, Catherine M. Oikonomou, Mohammed Kaplan and Lee A. Rettberg. Their work appears in journals such as Nature Communications, The EMBO Journal, Traffic, Cell Reports and Nature 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.