David R. Kaplan

5.7k citations
74 papers · 4.7k indexed · 2 hit papers · h-index 28

David R. Kaplan

70 papers receiving 4.6k citations

Hit Papers

The protein kinase encoded by the Akt proto-oncogene is a...1.8k199120262002201450010001.5k

Peers

David R. Kaplan
Comparison fields: 5 of 142
  • Developmental Neuroscience 374
  • Cellular and Molecular Neuroscience 1.0k
  • Immunology 956
  • Molecular Biology 2.7k
  • Virology 128
Replace Carol J. Thiele with:
Carol J. Thiele United States
Carol B. Ware United States
Masafumi Onodera Japan
Antonia Follenzi Italy
John N. Whitaker United States
Adriana Bajetto Italy
Mary Jean Sunshine United States
Long Pang China
Angie Rizzino United States
Igal Ifergan Canada
David R. Kaplan relative to Carol J. Thiele United States Carol J. Thiele's profile →
Citations per field
00.5×1.5×
Carol J. Thiele · 1×
Citations per year

Countries citing papers authored by David R. Kaplan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside David R. Kaplan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with David R. Kaplan Line = papers co-authored together David R. Kaplan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20240
3 20242
4 20234
5 20239
6
CD317 is over-expressed in B-cell chronic lymphocytic leukemia, but not B-cell acute lymphoblastic leukemia.
201511
7 201472
8 2014119
9 201341
10 20129
11 201040
12 200520
13 200324
14 200134
15 200116
16 200044
17 199413
18
Prospects for anti-rejection therapies based upon CD8-dependent immunoregulation.
19935
19 199273
20 199121

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), Immunotherapy and Immune Responses (8 papers), Chronic Lymphocytic Leukemia Research (6 papers), Single-cell and spatial transcriptomics (6 papers), Virus-based gene therapy research (5 papers), Immunodeficiency and Autoimmune Disorders (5 papers) and Cancer-related Molecular Pathways (4 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 Proceedings of the National Academy of Sciences, Cytometry Part A, Journal of Virology, Blood and The Journal of Immunology.

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.

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