Dhaya Seshasayee
- Immunology top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Oncology top 10%
- Co-authors
- Iqbal S. GrewalVishva M. DixitMinhong YanZora ModrušanPatricia ValdezAlexander R. AbbasHilary ClarkKristen Wolslegel
- Topics
- T-cell and B-cell Immunology (11 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)Immune Cell Function and Interaction (4 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryNature Communications
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Dhaya Seshasayee
29 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 106
- Immunology 1.2k
- Molecular Biology 722
- Cancer Research 335
- Radiology, Nuclear Medicine and Imaging 281
- Oncology 272
Countries citing papers authored by Dhaya Seshasayee
This map shows the geographic impact of Dhaya Seshasayee'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 Dhaya Seshasayee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhaya Seshasayee more than expected).
Fields of papers citing papers by Dhaya Seshasayee
This network shows the impact of papers produced by Dhaya Seshasayee. 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 Dhaya Seshasayee. The network helps show where Dhaya Seshasayee may publish in the future.
Co-authorship network of co-authors of Dhaya Seshasayee
This figure shows the co-authorship network connecting the top 25 collaborators of Dhaya Seshasayee. A scholar is included among the top collaborators of Dhaya Seshasayee 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 Dhaya Seshasayee. Dhaya Seshasayee 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 | 61 | |
| 3 | 15 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 13 | |
| 8 | 107 | |
| 9 | 7 | |
| 10 | 19 | |
| 11 | 94 | |
| 12 | 287 | |
| 13 | 1 | |
| 14 | 60 | |
| 15 | 59 | |
| 16 | 56 | |
| 17 | 319 | |
| 18 | 391 | |
| 19 | 32 | |
| 20 | 20 |
About Dhaya Seshasayee
Dhaya Seshasayee is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Immunology and Allergy, having authored 29 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Immune Cell Function and Interaction (4 papers). The work is most often cited by research in Immunology (1.2k citations), Cancer Research (335 citations) and Rheumatology (241 citations). Dhaya Seshasayee has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Iqbal S. Grewal, Vishva M. Dixit, Minhong Yan, Zora Modrušan, Patricia Valdez, Alexander R. Abbas, Hilary Clark, Kristen Wolslegel, Daniel B. Tumas and Hua Wang. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.
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.