Dylan Scott Eiger
Impact in
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
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- Receptor Mechanisms and Signaling
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Receptor Mechanisms and Signaling 8
- Protein Kinase Regulation and GTPase Signaling 3
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- Neuropeptides and Animal Physiology 3
- Co-authors
- Sudarshan Rajagopal (9 shared papers)Uyen Pham (4 shared papers)Issac Choi (5 shared papers)Christopher Cole Honeycutt (4 shared papers)Jeffrey S. Smith (4 shared papers)Anmol Warman (3 shared papers)Thomas F. Pack (2 shared papers)Marc G. Caron (2 shared papers)
- Journals
- Science Signaling (2 papers)Nature Communications (1 paper)BioEssays (1 paper)American Journal of Physiology-Cell Physiology (1 paper)Academic Medicine (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Dylan Scott Eiger
11 papers receiving 236 citations
Peers
Comparison fields: 5 of 52
- Cellular and Molecular Neuroscience 98
- Molecular Biology 174
- Immunology 27
- Biological Psychiatry 3
- Computational Theory and Mathematics 23
Countries citing papers authored by Dylan Scott Eiger
This map shows the geographic impact of Dylan Scott Eiger'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 Dylan Scott Eiger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan Scott Eiger more than expected).
Fields of papers citing papers by Dylan Scott Eiger
This network shows the impact of papers produced by Dylan Scott Eiger. 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 Dylan Scott Eiger. The network helps show where Dylan Scott Eiger may publish in the future.
Co-authors
The 25 scholars most cited alongside Dylan Scott Eiger, 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 | 2021 | 77 | |
| 2 | 2022 | 33 | |
| 3 | 2022 | 32 | |
| 4 | 2020 | 27 | |
| 5 | 2020 | 18 | |
| 6 | 2023 | 15 | |
| 7 | 2024 | 15 | |
| 8 | 2022 | 14 | |
| 9 | 2019 | 3 | |
| 10 | 2021 | 2 | |
| 11 | 2021 | 2 | |
| 12 | 2021 | 0 |
About Dylan Scott Eiger
Dylan Scott Eiger is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Oncology, Radiology, Nuclear Medicine and Imaging and Public Health, Environmental and Occupational Health, having authored 12 papers that have together received 238 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (8 papers), Chemokine receptors and signaling (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Neuropeptides and Animal Physiology (3 papers), T-cell and B-cell Immunology (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Pharmacogenetics and Drug Metabolism (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (98 citations), Molecular Biology (174 citations), Immunology (27 citations), Biological Psychiatry (3 citations) and Computational Theory and Mathematics (23 citations). Dylan Scott Eiger has collaborated with scholars based in United States and Japan. Frequent co-authors include Sudarshan Rajagopal, Uyen Pham, Issac Choi, Christopher Cole Honeycutt, Jeffrey S. Smith, Anmol Warman, Thomas F. Pack, Marc G. Caron, Asuka Inoue and Dean P. Staus. Their work appears in journals such as Science Signaling, Nature Communications, BioEssays, American Journal of Physiology-Cell Physiology and Academic Medicine.
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.