Nitin T. Supekar
- Molecular Biology
- Infectious Diseases top 5%
- Organic Chemistry top 10%
- Immunology top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Parastoo AzadiAsif ShajahanAnne GleinichGeert‐Jan BoonsChristian HeißMargreet A. WolfertStephanie Archer‐HartmannVani Lakshminarayanan
- Topics
- Glycosylation and Glycoproteins Research (17 papers)Monoclonal and Polyclonal Antibodies Research (10 papers)Carbohydrate Chemistry and Synthesis (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryAngewandte Chemie International Edition
- Partner nations
- United StatesNetherlandsDenmark
In The Last Decade
Nitin T. Supekar
23 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 90
- Molecular Biology 683
- Infectious Diseases 376
- Organic Chemistry 248
- Immunology 247
- Radiology, Nuclear Medicine and Imaging 202
Countries citing papers authored by Nitin T. Supekar
This map shows the geographic impact of Nitin T. Supekar'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 Nitin T. Supekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitin T. Supekar more than expected).
Fields of papers citing papers by Nitin T. Supekar
This network shows the impact of papers produced by Nitin T. Supekar. 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 Nitin T. Supekar. The network helps show where Nitin T. Supekar may publish in the future.
Co-authorship network of co-authors of Nitin T. Supekar
This figure shows the co-authorship network connecting the top 25 collaborators of Nitin T. Supekar. A scholar is included among the top collaborators of Nitin T. Supekar 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 Nitin T. Supekar. Nitin T. Supekar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 32 | |
| 3 | 346 | |
| 4 | 110 | |
| 5 | 12 | |
| 6 | 19 | |
| 7 | 3 | |
| 8 | 16 | |
| 9 | 19 | |
| 10 | 18 | |
| 11 | 29 | |
| 12 | 24 | |
| 13 | 15 | |
| 14 | 76 | |
| 15 | 88 | |
| 16 | 37 | |
| 17 | 46 | |
| 18 | 55 | |
| 19 | 49 | |
| 20 | 59 |
About Nitin T. Supekar
Nitin T. Supekar is a scholar working on Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Immunology, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (17 papers), Monoclonal and Polyclonal Antibodies Research (10 papers) and Carbohydrate Chemistry and Synthesis (9 papers). The work is most often cited by research in Infectious Diseases (376 citations), Immunology (247 citations) and Biotechnology (92 citations). Nitin T. Supekar has collaborated with scholars based in United States, Netherlands and Denmark. Frequent co-authors include Parastoo Azadi, Asif Shajahan, Anne Gleinich, Geert‐Jan Boons, Christian Heiß, Margreet A. Wolfert, Stephanie Archer‐Hartmann, Vani Lakshminarayanan, Sandra Gendler and Peter A. Cohen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.