Aritra Bera
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
- Fish Biology and Ecology Studies
- Aquatic life and conservation
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Aquaculture Nutrition and Growth 24
- Fish Biology and Ecology Studies 6
- Physiology 16
- Reproductive biology and impacts on aquatic species 16
- Co-authors
- M. Kailasam (23 shared papers)Prem Kumar (5 shared papers)Gouranga Biswas (6 shared papers)Subrata Dasgupta (4 shared papers)M. Makesh (9 shared papers)Debasis De (4 shared papers)Koyadan Kizhakedath Vijayan (3 shared papers)K.K. Vijayan (2 shared papers)
In The Last Decade
Aritra Bera
29 papers receiving 292 citations
Peers
Comparison fields: 5 of 51
- Aquatic Science 203
- Physiology 75
- Immunology 77
- Nature and Landscape Conservation 47
- Global and Planetary Change 67
Countries citing papers authored by Aritra Bera
This map shows the geographic impact of Aritra Bera'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 Aritra Bera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aritra Bera more than expected).
Fields of papers citing papers by Aritra Bera
This network shows the impact of papers produced by Aritra Bera. 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 Aritra Bera. The network helps show where Aritra Bera may publish in the future.
Co-authors
The 25 scholars most cited alongside Aritra Bera, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 52 | |
| 2 | 2019 | 27 | |
| 3 | 2017 | 25 | |
| 4 | 2019 | 24 | |
| 5 | 2020 | 22 | |
| 6 | 2020 | 16 | |
| 7 | 2021 | 14 | |
| 8 | 2020 | 14 | |
| 9 | 2018 | 11 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 11 | |
| 12 | 2014 | 10 | |
| 13 | Photoperiod, melatonin and its importance in fish reproduction | 2013 | 8 |
| 14 | 2020 | 8 | |
| 15 | 2022 | 7 | |
| 16 | 2017 | 6 | |
| 17 | 2023 | 6 | |
| 18 | 2023 | 4 | |
| 19 | 2023 | 4 | |
| 20 | 2021 | 4 |
About Aritra Bera
Aritra Bera is a scholar working on Aquatic Science, Physiology, Nature and Landscape Conservation, Immunology and Genetics, having authored 31 papers that have together received 299 indexed citations. Recurring topics across this work include Aquaculture Nutrition and Growth (24 papers), Reproductive biology and impacts on aquatic species (16 papers), Fish Ecology and Management Studies (9 papers), Aquaculture disease management and microbiota (8 papers), Fish Biology and Ecology Studies (6 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Marine Bivalve and Aquaculture Studies (2 papers) and Cancer, Hypoxia, and Metabolism (1 paper). The work is most often cited by research in Aquatic Science (203 citations), Physiology (75 citations), Immunology (77 citations), Nature and Landscape Conservation (47 citations) and Global and Planetary Change (67 citations). Aritra Bera has collaborated with scholars based in India and Israel. Frequent co-authors include M. Kailasam, Prem Kumar, Gouranga Biswas, Subrata Dasgupta, M. Makesh, Debasis De, Koyadan Kizhakedath Vijayan, K.K. Vijayan, Tapas Kumar Ghoshal and T. Sivaramakrishnan. Their work appears in journals such as Aquaculture, Fish Physiology and Biochemistry, Aquaculture International, Environmental Science and Pollution Research and Journal of Fish Diseases.
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.