Suravi Majumder
- Genetics
- Physiology top 5%
- Molecular Biology
- Health, Toxicology and Mutagenesis
- Aquatic Science top 10%
- Co-authors
- Dilip MukherjeeSathnur PushpakumarUtpal SenShreyasi GuptaParamita MaitiM. SudarshanS. S. RamSubhas Chandra Santra
- Topics
- Reproductive biology and impacts on aquatic species (7 papers)Aquaculture Nutrition and Growth (6 papers)Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe FASEB JournalEuropean Heart Journal
- Partner nations
- IndiaUnited StatesSerbia
In The Last Decade
Suravi Majumder
26 papers receiving 326 citations
Peers
Comparison fields: 5 of 90
- Genetics 86
- Physiology 85
- Molecular Biology 72
- Health, Toxicology and Mutagenesis 55
- Aquatic Science 42
Countries citing papers authored by Suravi Majumder
This map shows the geographic impact of Suravi Majumder'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 Suravi Majumder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suravi Majumder more than expected).
Fields of papers citing papers by Suravi Majumder
This network shows the impact of papers produced by Suravi Majumder. 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 Suravi Majumder. The network helps show where Suravi Majumder may publish in the future.
Co-authorship network of co-authors of Suravi Majumder
This figure shows the co-authorship network connecting the top 25 collaborators of Suravi Majumder. A scholar is included among the top collaborators of Suravi Majumder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Suravi Majumder. Suravi Majumder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 19 | |
| 4 | 2 | |
| 5 | 17 | |
| 6 | 22 | |
| 7 | 8 | |
| 8 | 20 | |
| 9 | 4 | |
| 10 | 1 | |
| 11 | 25 | |
| 12 | 7 | |
| 13 | 14 | |
| 14 | 22 | |
| 15 | 22 | |
| 16 | 12 | |
| 17 | Epidermal Growth Factor (EGF) promotes ovarian steroidogenesis and Epidermal Growth Factor Receptor (EGFR) signaling is required for Gonadotropin-induced steroid production in common carp, Cyprinus carpio | 1 |
| 18 | 42 | |
| 19 | 8 | |
| 20 | Extended Spectrum Beta-Lactamases (ESBL) in gram negative bacill at a Tertiary Care Hospital | 3 |
About Suravi Majumder
Suravi Majumder is a scholar working on Physiology, Aquatic Science and Applied Microbiology and Biotechnology, having authored 26 papers that have together received 334 indexed citations. Recurring topics across this work include Reproductive biology and impacts on aquatic species (7 papers), Aquaculture Nutrition and Growth (6 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). The work is most often cited by research in Physiology (85 citations), Aquatic Science (42 citations) and Health, Toxicology and Mutagenesis (55 citations). Suravi Majumder has collaborated with scholars based in India, United States and Serbia. Frequent co-authors include Dilip Mukherjee, Sathnur Pushpakumar, Utpal Sen, Shreyasi Gupta, Paramita Maiti, M. Sudarshan, S. S. Ram, Subhas Chandra Santra, Sanjoy Kumar Chanda and Anindita Chakraborty. Their work appears in journals such as SHILAP Revista de lepidopterología, The FASEB Journal and European Heart Journal.
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.