Daniel D. Kaplan
Impact in
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- Regulation of Appetite and Obesity
- Aging top 10%
Papers in
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- Wnt/β-catenin signaling in development and cancer 6
- Cancer-related gene regulation 4
- Kruppel-like factors research 3
- Protein Kinase Regulation and GTPase Signaling 2
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- Microtubule and mitosis dynamics 3
- Co-authors
- Patrick J. Casey (5 shared papers)Thomas E. Meigs (6 shared papers)Mousumi Majumdar (1 shared paper)Tammy M. Seasholtz (1 shared paper)Joan Heller Brown (1 shared paper)Hui Tian (4 shared papers)Patrick Kelly (1 shared paper)Mary Fedor‐Chaiken (2 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Cancer Research (3 papers)Genes & Development (2 papers)Diabetes (1 paper)Genetics (1 paper)
- Partner nations
- United StatesGermanyNetherlands
In The Last Decade
Daniel D. Kaplan
19 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 81
- Endocrine and Autonomic Systems 223
- Aging 34
- Cell Biology 253
- Molecular Biology 631
- Immunology and Allergy 50
Countries citing papers authored by Daniel D. Kaplan
This map shows the geographic impact of Daniel D. 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 Daniel D. Kaplan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Kaplan more than expected).
Fields of papers citing papers by Daniel D. Kaplan
This network shows the impact of papers produced by Daniel D. 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 Daniel D. Kaplan. The network helps show where Daniel D. Kaplan may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel D. Kaplan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 276 | |
| 2 | 1999 | 233 | |
| 3 | 2007 | 191 | |
| 4 | 2002 | 104 | |
| 5 | 2004 | 103 | |
| 6 | 2008 | 83 | |
| 7 | 2019 | 53 | |
| 8 | 2001 | 39 | |
| 9 | 2005 | 35 | |
| 10 | 2016 | 33 | |
| 11 | 2003 | 14 | |
| 12 | 2013 | 9 | |
| 13 | 2008 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2008 | 4 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2024 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Daniel D. Kaplan
Daniel D. Kaplan is a scholar working on Molecular Biology, Cell Biology, Immunology, Oncology and Surgery, having authored 20 papers that have together received 1.2k indexed citations. Recurring topics across this work include Wnt/β-catenin signaling in development and cancer (6 papers), Cancer-related gene regulation (4 papers), Immune Cell Function and Interaction (4 papers), Microtubule and mitosis dynamics (3 papers), Kruppel-like factors research (3 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (223 citations), Aging (34 citations), Cell Biology (253 citations), Molecular Biology (631 citations) and Immunology and Allergy (50 citations). Daniel D. Kaplan has collaborated with scholars based in United States, Germany and Netherlands. Frequent co-authors include Patrick J. Casey, Thomas E. Meigs, Mousumi Majumdar, Tammy M. Seasholtz, Joan Heller Brown, Hui Tian, Patrick Kelly, Mary Fedor‐Chaiken, Robert Brackenbury and Cristina M. Rondinone. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Genes & Development, Diabetes and Genetics.
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.