Satyajit Mohapatra
- Molecular Medicine top 2%
- Epidemiology
- Pharmacology top 10%
- Applied Microbiology and Biotechnology top 2%
- Endocrinology top 5%
- Co-authors
- Victor L. YuHerman GoossensWen‐Chien KoAnne von GottbergGordon M. TrenholmeDavid L. PatersonJ. G. McCormackLütfiye Mülazımoğlu
- Topics
- COVID-19 Impact on Reproduction (5 papers)Pharmaceutical studies and practices (3 papers)Healthcare and Environmental Waste Management (2 papers)
- Partner nations
- IndiaUnited StatesAustralia
In The Last Decade
Satyajit Mohapatra
27 papers receiving 425 citations
Peers
Comparison fields: 5 of 81
- Molecular Medicine 273
- Epidemiology 135
- Pharmacology 111
- Applied Microbiology and Biotechnology 108
- Endocrinology 73
Countries citing papers authored by Satyajit Mohapatra
This map shows the geographic impact of Satyajit Mohapatra'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 Satyajit Mohapatra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Satyajit Mohapatra more than expected).
Fields of papers citing papers by Satyajit Mohapatra
This network shows the impact of papers produced by Satyajit Mohapatra. 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 Satyajit Mohapatra. The network helps show where Satyajit Mohapatra may publish in the future.
Co-authorship network of co-authors of Satyajit Mohapatra
This figure shows the co-authorship network connecting the top 25 collaborators of Satyajit Mohapatra. A scholar is included among the top collaborators of Satyajit Mohapatra 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 Satyajit Mohapatra. Satyajit Mohapatra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 22 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 2 | |
| 14 | 1 | |
| 15 | 11 | |
| 16 | 5 | |
| 17 | ANTIOXIDANT PROPERTIES OF ALOE VERA IN STREPTOZOTOCIN INDUCED DIABETIC RATS | 4 |
| 18 | 23 | |
| 19 | 318 | |
| 20 | 3 |
About Satyajit Mohapatra
Satyajit Mohapatra is a scholar working on Applied Microbiology and Biotechnology, Obstetrics and Gynecology and Molecular Medicine, having authored 29 papers that have together received 459 indexed citations. Recurring topics across this work include COVID-19 Impact on Reproduction (5 papers), Pharmaceutical studies and practices (3 papers) and Healthcare and Environmental Waste Management (2 papers). The work is most often cited by research in Molecular Medicine (273 citations), Applied Microbiology and Biotechnology (108 citations) and Endocrinology (73 citations). Satyajit Mohapatra has collaborated with scholars based in India, United States and Australia. Frequent co-authors include Victor L. Yu, Herman Goossens, Wen‐Chien Ko, Anne von Gottberg, Gordon M. Trenholme, David L. Paterson, J. G. McCormack, Lütfiye Mülazımoğlu, K P Klugman and José María Casellas. Their work appears in journals such as PLoS ONE, Clinical Infectious Diseases 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.