R. Daniel Mellon
- Anesthesiology and Pain Medicine top 1%
- Developmental Neuroscience top 2%
- Cellular and Molecular Neuroscience top 10%
- Molecular Biology
- Public Health, Environmental and Occupational Health top 10%
- Co-authors
- Bob A. RappaportArthur F. SimoneBarbara BayerJanet WoodcockAnne‐Marie TobinTimothy J. KroppS. Leigh VerboisAspandiar G. Katki
- Topics
- Neuropeptides and Animal Physiology (6 papers)Receptor Mechanisms and Signaling (4 papers)Immunotoxicology and immune responses (3 papers)
- Cited by
- Developmental NeuroscienceAnesthesiology and Pain MedicineCritical Care and Intensive Care Medicine
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
R. Daniel Mellon
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Anesthesiology and Pain Medicine 325
- Developmental Neuroscience 276
- Cellular and Molecular Neuroscience 247
- Molecular Biology 207
- Public Health, Environmental and Occupational Health 154
Countries citing papers authored by R. Daniel Mellon
This map shows the geographic impact of R. Daniel Mellon'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 R. Daniel Mellon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. Daniel Mellon more than expected).
Fields of papers citing papers by R. Daniel Mellon
This network shows the impact of papers produced by R. Daniel Mellon. 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 R. Daniel Mellon. The network helps show where R. Daniel Mellon may publish in the future.
Co-authorship network of co-authors of R. Daniel Mellon
This figure shows the co-authorship network connecting the top 25 collaborators of R. Daniel Mellon. A scholar is included among the top collaborators of R. Daniel Mellon 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 R. Daniel Mellon. R. Daniel Mellon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 18 | |
| 2 | 55 | |
| 3 | 15 | |
| 4 | 17 | |
| 5 | 163 | |
| 6 | Uniform assessment and ranking of opioid Mu receptor binding constants for selected opioid drugsbreakdown → | 315 |
| 7 | 26 | |
| 8 | 17 | |
| 9 | 262 | |
| 10 | 3 | |
| 11 | 34 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 38 | |
| 15 | 119 | |
| 16 | 44 |
About R. Daniel Mellon
R. Daniel Mellon is a scholar working on Developmental Neuroscience, Anesthesiology and Pain Medicine and Small Animals, having authored 16 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuropeptides and Animal Physiology (6 papers), Receptor Mechanisms and Signaling (4 papers) and Immunotoxicology and immune responses (3 papers). The work is most often cited by research in Developmental Neuroscience (276 citations), Anesthesiology and Pain Medicine (325 citations) and Critical Care and Intensive Care Medicine (149 citations). R. Daniel Mellon has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Bob A. Rappaport, Arthur F. Simone, Barbara Bayer, Janet Woodcock, Anne‐Marie Tobin, Timothy J. Kropp, S. Leigh Verbois, Aspandiar G. Katki, Robert Parker and Donna A. Volpe. Their work appears in journals such as New England Journal of Medicine, Brain Research and Annals of the New York Academy of 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.