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)Joan Heller Brown (1 shared paper)Tammy M. Seasholtz (1 shared paper)Mousumi Majumdar (1 shared paper)Patrick Kelly (1 shared paper)Hui Tian (4 shared papers)Mary Fedor‐Chaiken (2 shared papers)
- Journals
- Journal of Biological Chemistry (6 papers)Cancer Research (3 papers)Genes & Development (2 papers)Cell Metabolism (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesNetherlandsQatar
In The Last Decade
Daniel D. Kaplan
18 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 82
- Endocrine and Autonomic Systems 220
- Aging 34
- Cell Biology 262
- Immunology and Allergy 61
- Molecular Biology 684
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 | 260 | |
| 2 | 1999 | 233 | |
| 3 | 2007 | 191 | |
| 4 | 2002 | 104 | |
| 5 | 2004 | 102 | |
| 6 | 2008 | 83 | |
| 7 | 2019 | 51 | |
| 8 | 2001 | 39 | |
| 9 | 2005 | 35 | |
| 10 | 2016 | 31 | |
| 11 | 2003 | 14 | |
| 12 | 2013 | 9 | |
| 13 | 2008 | 8 | |
| 14 | 2021 | 6 | |
| 15 | 2008 | 3 | |
| 16 | 2022 | 3 | |
| 17 | 2022 | 2 | |
| 18 | 2022 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2024 | 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), Immune Cell Function and Interaction (4 papers), Cancer-related gene regulation (4 papers), Kruppel-like factors research (3 papers), Microtubule and mitosis dynamics (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (220 citations), Aging (34 citations), Cell Biology (262 citations), Immunology and Allergy (61 citations) and Molecular Biology (684 citations). Daniel D. Kaplan has collaborated with scholars based in United States, Netherlands and Qatar. Frequent co-authors include Patrick J. Casey, Thomas E. Meigs, Joan Heller Brown, Tammy M. Seasholtz, Mousumi Majumdar, Patrick Kelly, Hui Tian, Mary Fedor‐Chaiken, Robert Brackenbury and Hong Yang. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, Genes & Development, Cell Metabolism and Diabetes.
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.