Amit Kulkarni
- Molecular Biology top 10%
- Oncology top 10%
- Cancer Research top 10%
- Genetics top 10%
- Computational Theory and Mathematics top 5%
- Co-authors
- John C. CastleJason M. JohnsonMartha S. HeadShashidhar N. RaoJudith M. LaLondeJyoti ShahChaolin ZhangAuinash Kalsotra
- Topics
- Multiple Myeloma Research and Treatments (4 papers)Molecular Biology Techniques and Applications (4 papers)Drug Transport and Resistance Mechanisms (3 papers)
- Partner nations
- United StatesItalyGermany
In The Last Decade
Amit Kulkarni
19 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.2k
- Oncology 307
- Cancer Research 247
- Genetics 217
- Computational Theory and Mathematics 158
Countries citing papers authored by Amit Kulkarni
This map shows the geographic impact of Amit Kulkarni'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 Amit Kulkarni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Kulkarni more than expected).
Fields of papers citing papers by Amit Kulkarni
This network shows the impact of papers produced by Amit Kulkarni. 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 Amit Kulkarni. The network helps show where Amit Kulkarni may publish in the future.
Co-authorship network of co-authors of Amit Kulkarni
This figure shows the co-authorship network connecting the top 25 collaborators of Amit Kulkarni. A scholar is included among the top collaborators of Amit Kulkarni 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 Amit Kulkarni. Amit Kulkarni 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 | 3 | |
| 5 | 120 | |
| 6 | 14 | |
| 7 | 32 | |
| 8 | 137 | |
| 9 | 18 | |
| 10 | 245 | |
| 11 | 297 | |
| 12 | 216 | |
| 13 | 26 | |
| 14 | 491 | |
| 15 | 87 | |
| 16 | 6 | |
| 17 | 9 | |
| 18 | 22 | |
| 19 | Glycoproteins as markers of inflammation in rheumatic disorders. | 4 |
About Amit Kulkarni
Amit Kulkarni is a scholar working on Hematology, Molecular Biology and Pharmacology, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (4 papers), Molecular Biology Techniques and Applications (4 papers) and Drug Transport and Resistance Mechanisms (3 papers). The work is most often cited by research in Molecular Biology (1.2k citations), Cancer Research (247 citations) and Oncology (307 citations). Amit Kulkarni has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include John C. Castle, Jason M. Johnson, Martha S. Head, Shashidhar N. Rao, Judith M. LaLonde, Jyoti Shah, Chaolin Zhang, Auinash Kalsotra, Thomas A. Cooper and Guy Cavet. Their work appears in journals such as Nucleic Acids Research, Nature Genetics and Blood.
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.