Neena Kapoor
- Hematology top 0.5%
- Immunology top 2%
- Genetics top 2%
- Oncology top 5%
- Epidemiology top 5%
- Co-authors
- Dahlia KirkpatrickBo DupontAmi J. ShahRJ O’ReillyGood RaRichard J. O’ReillyYaīr ReisnerMarilyn S. Pollack
- Topics
- Hematopoietic Stem Cell Transplantation (47 papers)Immunodeficiency and Autoimmune Disorders (30 papers)Immune Cell Function and Interaction (18 papers)
- Cited by
- HematologyImmunologyGenetics
- Journals
- New England Journal of MedicineProceedings of the National Academy of SciencesJournal of Clinical Oncology
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Neena Kapoor
80 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 85
- Hematology 1.3k
- Immunology 1.2k
- Genetics 721
- Oncology 707
- Epidemiology 669
Countries citing papers authored by Neena Kapoor
This map shows the geographic impact of Neena Kapoor'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 Neena Kapoor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neena Kapoor more than expected).
Fields of papers citing papers by Neena Kapoor
This network shows the impact of papers produced by Neena Kapoor. 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 Neena Kapoor. The network helps show where Neena Kapoor may publish in the future.
Co-authorship network of co-authors of Neena Kapoor
This figure shows the co-authorship network connecting the top 25 collaborators of Neena Kapoor. A scholar is included among the top collaborators of Neena Kapoor 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 Neena Kapoor. Neena Kapoor is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 19 | |
| 3 | 18 | |
| 4 | 7 | |
| 5 | 35 | |
| 6 | 7 | |
| 7 | 16 | |
| 8 | 392 | |
| 9 | 1 | |
| 10 | 8 | |
| 11 | 223 | |
| 12 | 9 | |
| 13 | 44 | |
| 14 | 11 | |
| 15 | 13 | |
| 16 | 60 | |
| 17 | 15 | |
| 18 | 6 | |
| 19 | A comparative review of the results of transplants of fully allogeneic fetal liver and HLA-haplotype mismatched, T-cell depleted marrow in the treatment of severe combined immunodeficiency. | 2 |
| 20 | Reconstitution of immunologic function in a patient with severe combined immunodeficiency following transplantation of marrow from an HLA-A,B,C nonidentical but MLC-compatible paternal donor. | 5 |
About Neena Kapoor
Neena Kapoor is a scholar working on Hematology, Immunology and Transplantation, having authored 83 papers that have together received 2.8k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (47 papers), Immunodeficiency and Autoimmune Disorders (30 papers) and Immune Cell Function and Interaction (18 papers). The work is most often cited by research in Hematology (1.3k citations), Immunology (1.2k citations) and Genetics (339 citations). Neena Kapoor has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Dahlia Kirkpatrick, Bo Dupont, Ami J. Shah, RJ O’Reilly, Good Ra, Richard J. O’Reilly, Yaīr Reisner, Marilyn S. Pollack, Jill A. Hoffman and S. Cunningham‐Rundles. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Journal of Clinical Oncology.
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.