Dan Chalothorn
Impact in
- Neurology top 10%
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- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
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- Angiogenesis and VEGF in Cancer 9
- Receptor Mechanisms and Signaling 4
- Congenital heart defects research 2
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- Neuropeptides and Animal Physiology 2
- Co-authors
- James E. Faber (12 shared papers)Jason A. Clayton (3 shared papers)Michael T. Piascik (4 shared papers)Hua Zhang (2 shared papers)Stephanie E. Edelmann (3 shared papers)Dan F. McCune (3 shared papers)Gozoh Tsujimoto (3 shared papers)Mary L. Garcı́a-Cazarı́n (2 shared papers)
- Journals
- Circulation Research (4 papers)Molecular Pharmacology (2 papers)Physiological Genomics (2 papers)Blood (2 papers)International Journal of Molecular Sciences (1 paper)
- Partner nations
- United StatesItalyIsrael
In The Last Decade
Dan Chalothorn
17 papers receiving 951 citations
Peers
Comparison fields: 5 of 80
- Neurology 94
- Cellular and Molecular Neuroscience 203
- Molecular Biology 581
- Immunology and Allergy 41
- Internal Medicine 24
Countries citing papers authored by Dan Chalothorn
This map shows the geographic impact of Dan Chalothorn'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 Dan Chalothorn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Chalothorn more than expected).
Fields of papers citing papers by Dan Chalothorn
This network shows the impact of papers produced by Dan Chalothorn. 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 Dan Chalothorn. The network helps show where Dan Chalothorn may publish in the future.
Co-authors
The 25 scholars most cited alongside Dan Chalothorn, 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 | 2008 | 149 | |
| 2 | 2002 | 121 | |
| 3 | 2004 | 90 | |
| 4 | 2005 | 83 | |
| 5 | 2010 | 82 | |
| 6 | 2001 | 81 | |
| 7 | 2010 | 78 | |
| 8 | 2009 | 74 | |
| 9 | 2003 | 44 | |
| 10 | 2007 | 28 | |
| 11 | 2021 | 27 | |
| 12 | 2005 | 27 | |
| 13 | 2019 | 26 | |
| 14 | 2010 | 19 | |
| 15 | 2013 | 19 | |
| 16 | 2002 | 16 | |
| 17 | 2007 | 6 | |
| 18 | 2025 | 0 | |
| 19 | 2024 | 0 | |
| 20 | 2006 | 0 |
About Dan Chalothorn
Dan Chalothorn is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cancer Research, Genetics and Pulmonary and Respiratory Medicine, having authored 20 papers that have together received 970 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (9 papers), Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (2 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Cell Adhesion Molecules Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers) and Congenital heart defects research (2 papers). The work is most often cited by research in Neurology (94 citations), Cellular and Molecular Neuroscience (203 citations), Molecular Biology (581 citations), Immunology and Allergy (41 citations) and Internal Medicine (24 citations). Dan Chalothorn has collaborated with scholars based in United States, Italy and Israel. Frequent co-authors include James E. Faber, Jason A. Clayton, Michael T. Piascik, Hua Zhang, Stephanie E. Edelmann, Dan F. McCune, Gozoh Tsujimoto, Mary L. Garcı́a-Cazarı́n, Hua Zhang and David C. Lee. Their work appears in journals such as Circulation Research, Molecular Pharmacology, Physiological Genomics, Blood and International Journal of Molecular Sciences.
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.