Nityananda Chowdhury
- Endocrinology top 0.2%
- Vibrio bacteria research studies 25
- Escherichia coli research studies 4
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 6
- Periodontics top 2%
- Oral microbiology and periodontitis research 5
- Immunology top 5%
- Aquaculture disease management and microbiota 14
- Food Science top 2%
- Salmonella and Campylobacter epidemiology 11
-
- Bacteriophages and microbial interactions 8
-
- Bacterial Genetics and Biotechnology 4
- Co-authors
- Thomas K. WoodBrian W. KwanShinji YamasakiShah M. FaruqueAtsushi HinenoyaMasahiro AsakuraSoumya HaldarJun‐Seob Kim
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Applied and Environmental Microbiology (3 papers)Scientific Reports (1 paper)
- Partner nations
- United StatesJapanBangladesh
In The Last Decade
Nityananda Chowdhury
43 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 107
- Endocrinology 974
- Molecular Medicine 271
- Periodontics 180
- Immunology 599
- Food Science 366
Countries citing papers authored by Nityananda Chowdhury
This map shows the geographic impact of Nityananda Chowdhury'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 Nityananda Chowdhury with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nityananda Chowdhury more than expected).
Fields of papers citing papers by Nityananda Chowdhury
This network shows the impact of papers produced by Nityananda Chowdhury. 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 Nityananda Chowdhury. The network helps show where Nityananda Chowdhury may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nityananda Chowdhury, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 11 | |
| 4 | 2021 | 16 | |
| 5 | 2020 | 24 | |
| 6 | 2020 | 10 | |
| 7 | 2018 | 15 | |
| 8 | 2018 | 147 | |
| 9 | 2018 | 19 | |
| 10 | 2017 | 108 | |
| 11 | 2016 | 101 | |
| 12 | 2014 | 1 | |
| 13 | 2012 | 23 | |
| 14 | 2010 | 63 | |
| 15 | 2010 | 70 | |
| 16 | 2010 | 24 | |
| 17 | 2010 | 78 | |
| 18 | 2006 | 66 | |
| 19 | 2004 | 167 | |
| 20 | 2003 | 43 |
About Nityananda Chowdhury
Nityananda Chowdhury is a scholar working on Endocrinology, Molecular Medicine and Periodontics, having authored 45 papers that have together received 1.9k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (25 papers), Aquaculture disease management and microbiota (14 papers), Salmonella and Campylobacter epidemiology (11 papers), Bacteriophages and microbial interactions (8 papers), Antibiotic Resistance in Bacteria (6 papers), Oral microbiology and periodontitis research (5 papers), Bacterial Genetics and Biotechnology (4 papers) and Escherichia coli research studies (4 papers). The work is most often cited by research in Endocrinology (974 citations), Molecular Medicine (271 citations) and Periodontics (180 citations). Nityananda Chowdhury has collaborated with scholars based in United States, Japan and Bangladesh. Frequent co-authors include Thomas K. Wood, Brian W. Kwan, Shinji Yamasaki, Shah M. Faruque, Atsushi Hinenoya, Masahiro Asakura, Soumya Haldar, Jun‐Seob Kim, Muhammad Kamruzzaman and Ryota Yamasaki. Their work appears in journals such as Proceedings of the National Academy of Sciences, Applied and Environmental Microbiology 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.