Dennis Underwood
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 5%
- Immunology top 10%
- Co-authors
- Catherine D. StraderTung M. FongMichael R. TotaRichard A. F. DixonRobert P. SheridanSimon K. KearsleyMitchell D. MillerMichael D. Miller
- Topics
- Receptor Mechanisms and Signaling (11 papers)Monoclonal and Polyclonal Antibodies Research (8 papers)Neuropeptides and Animal Physiology (6 papers)
- Cited by
- Cellular and Molecular NeuroscienceComputational Theory and MathematicsEndocrine and Autonomic Systems
- Journals
- Journal of the American Chemical SocietyJournal of Biological ChemistryJournal of Clinical Oncology
- Partner nations
- United StatesAustraliaNetherlands
In The Last Decade
Dennis Underwood
40 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Molecular Biology 1.5k
- Cellular and Molecular Neuroscience 679
- Computational Theory and Mathematics 427
- Organic Chemistry 336
- Immunology 236
Countries citing papers authored by Dennis Underwood
This map shows the geographic impact of Dennis Underwood'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 Dennis Underwood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dennis Underwood more than expected).
Fields of papers citing papers by Dennis Underwood
This network shows the impact of papers produced by Dennis Underwood. 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 Dennis Underwood. The network helps show where Dennis Underwood may publish in the future.
Co-authorship network of co-authors of Dennis Underwood
This figure shows the co-authorship network connecting the top 25 collaborators of Dennis Underwood. A scholar is included among the top collaborators of Dennis Underwood 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 Dennis Underwood. Dennis Underwood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 4 | |
| 4 | 31 | |
| 5 | 14 | |
| 6 | 31 | |
| 7 | 10 | |
| 8 | 135 | |
| 9 | 47 | |
| 10 | STRUCTURE AND FUNCTION OF G PROTEIN-COUPLED RECEPTORSbreakdown → | 898 |
| 11 | 55 | |
| 12 | 3 | |
| 13 | 12 | |
| 14 | 81 | |
| 15 | 37 | |
| 16 | 29 | |
| 17 | 76 | |
| 18 | 93 | |
| 19 | 9 | |
| 20 | 6 |
About Dennis Underwood
Dennis Underwood is a scholar working on Aging, Cellular and Molecular Neuroscience and Organic Chemistry, having authored 41 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (11 papers), Monoclonal and Polyclonal Antibodies Research (8 papers) and Neuropeptides and Animal Physiology (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (679 citations), Computational Theory and Mathematics (427 citations) and Endocrine and Autonomic Systems (155 citations). Dennis Underwood has collaborated with scholars based in United States, Australia and Netherlands. Frequent co-authors include Catherine D. Strader, Tung M. Fong, Michael R. Tota, Richard A. F. Dixon, Robert P. Sheridan, Simon K. Kearsley, Mitchell D. Miller, Michael D. Miller, Margaret A. Cascieri and Christopher J. Swain. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.