David R. Kaplan

5.7k total citations · 2 hit papers
74 papers, 4.7k citations indexed

About

David R. Kaplan is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, David R. Kaplan has authored 74 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Immunology, 22 papers in Molecular Biology and 10 papers in Hematology. Recurrent topics in David R. Kaplan's work include Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (8 papers). David R. Kaplan is often cited by papers focused on Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (8 papers) and Immunotherapy and Immune Responses (8 papers). David R. Kaplan collaborates with scholars based in United States, Canada and United Kingdom. David R. Kaplan's 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 and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

David R. Kaplan

70 papers receiving 4.6k citations

Hit Papers

The protein kinase encoded by the Akt proto-oncogene is a... 1991 2026 2002 2014 1995 1991 500 1000 1.5k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The protein kinase encoded by the Akt proto-oncogene is a target of the PDGF-activated phosphatidylinositol 3-kinase
    1995 1.8k citations Deborah K. Morrison, David R. Kaplan et al. profile →
  2. High-affinity NGF binding requires coexpression of the trk proto-oncogene and the low-affinity NGF receptor
    1991 1.1k citations David R. Kaplan et al. profile →

Peers

David R. Kaplan
Long Pang China
Seiji Takashima Japan
Hidenobu Tanihara Japan
Xianmin Zeng United States
Masafumi Onodera Japan
John N. Whitaker United States
Rosetta Pedotti Italy
Tkachuk Va Russia
Gabriela Constantin Italy
Yang Hu United States
Long Pang China
David R. Kaplan
Citations per year, relative to David R. Kaplan David R. Kaplan (= 1×) peers Long Pang

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 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

20 of 20 papers shown
1.
Gao, Keming, Marzieh Ayati, Mehmet Koyutürk, et al.. (2025). Protein Biomarkers in Monocytes and CD4+ Lymphocytes for Predicting Lithium Treatment Response of Bipolar Disorder: a Feasibility Study with Tyramine-Based Signal- Amplified Flow Cytometry. Psychopharmacology Bulletin. 52(1). 8–35. 4 indexed citations
2.
Kaplan, David R., et al.. (2024). Analyte heterogeneity analysis as a possible potency parameter for MSC. Best Practice & Research Clinical Haematology. 37(4). 101596–101596.
3.
Kaplan, David R., et al.. (2024). Cell‐type specific molecular expression levels by restricted‐dimensional cytometry. European Journal of Clinical Investigation. 54(8). e14207–e14207. 2 indexed citations
4.
5.
Gao, Keming, Nicholas M. Kaye, Marzieh Ayati, et al.. (2023). Divergent Directionality of Immune Cell-Specific Protein Expression between Bipolar Lithium Responders and Non-Responders Revealed by Enhanced Flow Cytometry. Medicina. 59(1). 120–120. 9 indexed citations
6.
Gong, Shunyou, et al.. (2015). CD317 is over-expressed in B-cell chronic lymphocytic leukemia, but not B-cell acute lymphoblastic leukemia.. PubMed. 8(2). 1613–21. 11 indexed citations
7.
Yang, Guang, Craig A. Smibert, David R. Kaplan, & Freda D. Miller. (2014). An eIF4E1/4E-T Complex Determines the Genesis of Neurons from Precursors by Translationally Repressing a Proneurogenic Transcription Program. Neuron. 84(4). 723–739. 72 indexed citations
8.
Gallagher, Denis, Anastassia Voronova, Mark Zander, et al.. (2014). Ankrd11 Is a Chromatin Regulator Involved in Autism that Is Essential for Neural Development. Developmental Cell. 32(1). 31–42. 119 indexed citations
9.
Cancino, Gonzalo I., Michael P. Fatt, Sagar B. Dugani, et al.. (2013). p63 Regulates Adult Neural Precursor and Newly Born Neuron Survival to Control Hippocampal-Dependent Behavior. Journal of Neuroscience. 33(31). 12569–12585. 41 indexed citations
10.
Kaplan, David R., Nicholas M. Kaye, Fangfang Liu, et al.. (2012). The functional duality of HoxB4 in hematopoietic reconstituting cells. Cytometry Part A. 83A(1). 127–133. 9 indexed citations
11.
Zou, Wen‐Quan, Jan Langeveld, Xiangzhu Xiao, et al.. (2010). PrP Conformational Transitions Alter Species Preference of a PrP-specific Antibody. Journal of Biological Chemistry. 285(18). 13874–13884. 40 indexed citations
12.
13.
Kaplan, David R., et al.. (2003). CD34 expression on platelets. Platelets. 14(2). 83–87. 24 indexed citations
14.
Kaplan, David R., et al.. (2001). CD5 expression by B lymphocytes and its regulation upon Epstein–Barr virus transformation. Proceedings of the National Academy of Sciences. 98(24). 13850–13853. 34 indexed citations
15.
Kaplan, David R., Howard Meyerson, & Kristine Lewandowska. (2001). High Resolution Immunophenotypic Analysis of Chronic Lymphocytic Leukemic Cells by Enzymatic Amplification Staining. American Journal of Clinical Pathology. 116(3). 429–436. 16 indexed citations
16.
Chen, Rui, Shanmugam Nagarajan, Uma Maheshwari, et al.. (2000). Impaired growth and elevated Fas receptor expression in PIGA+ stem cells in primary paroxysmal nocturnal hemoglobinuria. Journal of Clinical Investigation. 106(5). 689–696. 44 indexed citations
17.
Kaplan, David R.. (1994). Delivery of interleukin 2 for immunotherapy. Journal of Chromatography B Biomedical Sciences and Applications. 662(2). 315–323. 13 indexed citations
18.
Tykocinski, Mark L. & David R. Kaplan. (1993). Prospects for anti-rejection therapies based upon CD8-dependent immunoregulation.. PubMed. 39. S120–3. 5 indexed citations
19.
Stephens, Robert M., Gunamani Sithanandam, Terry D. Copeland, et al.. (1992). 95-Kilodalton B-Raf Serine/Threonine Kinase: Identification of the Protein and Its Major Autophosphorylation Site. Molecular and Cellular Biology. 12(9). 3733–3742. 73 indexed citations
20.
Hertl, Michael, David R. Kaplan, John D. Fayen, et al.. (1991). The accessory function of B lymphocytes is resistant to the adverse effects of UV radiation. European Journal of Immunology. 21(2). 291–297. 21 indexed citations

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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