David R. Kaplan
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 2%
- Immunology top 2%
- Oncology top 5%
- Genetics top 5%
- Co-authors
- Deborah K. MorrisonAndrius KazlauskasThomas FrankeKetaki DattaSung‐Il YangTung O. ChanPhilip N. TsichlisBarbara L. Hempstead
- Topics
- Immune Cell Function and Interaction (12 papers)T-cell and B-cell Immunology (8 papers)Immunotherapy and Immune Responses (8 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
David R. Kaplan
70 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Molecular Biology 2.7k
- Cellular and Molecular Neuroscience 1.0k
- Immunology 956
- Oncology 559
- Genetics 425
Countries citing papers authored by David R. Kaplan
This map shows the geographic impact of David R. Kaplan'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 David R. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David R. Kaplan more than expected).
Fields of papers citing papers by David R. Kaplan
This network shows the impact of papers produced by David R. Kaplan. 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 David R. Kaplan. The network helps show where David R. Kaplan may publish in the future.
Co-authorship network of co-authors of David R. Kaplan
This figure shows the co-authorship network connecting the top 25 collaborators of David R. Kaplan. A scholar is included among the top collaborators of David R. Kaplan 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 David R. Kaplan. David R. Kaplan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 9 | |
| 6 | CD317 is over-expressed in B-cell chronic lymphocytic leukemia, but not B-cell acute lymphoblastic leukemia. | 11 |
| 7 | 72 | |
| 8 | 119 | |
| 9 | 41 | |
| 10 | 9 | |
| 11 | 40 | |
| 12 | 20 | |
| 13 | 24 | |
| 14 | 34 | |
| 15 | 16 | |
| 16 | 44 | |
| 17 | 13 | |
| 18 | Prospects for anti-rejection therapies based upon CD8-dependent immunoregulation. | 5 |
| 19 | 73 | |
| 20 | 21 |
About David R. Kaplan
David R. Kaplan is a scholar working on Biological Psychiatry, Immunology and Hematology, having authored 74 papers that have together received 4.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (8 papers). The work is most often cited by research in Developmental Neuroscience (374 citations), Cellular and Molecular Neuroscience (1.0k citations) and Immunology (956 citations). David R. Kaplan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Deborah K. Morrison, Andrius Kazlauskas, Thomas Franke, Ketaki Datta, Sung‐Il Yang, Tung O. Chan, Philip N. Tsichlis, Barbara L. Hempstead, Moses V. Chao and Dionisio Martín‐Zanca. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.
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.