David E. Nichols
- Cellular and Molecular Neuroscience top 1%
- Molecular Biology top 5%
- Organic Chemistry top 5%
- Clinical Psychology top 5%
- Pharmacology top 10%
- Co-authors
- Richard B. MailmanVal J. WattsBryan L. RothJonathan D. UrbanHarel WeinsteinJonathan A. JavitchPatrick M. SextonKeith J. Miller
- Topics
- Receptor Mechanisms and Signaling (33 papers)Neurotransmitter Receptor Influence on Behavior (25 papers)Neuroscience and Neuropharmacology Research (11 papers)
- Partner nations
- United StatesItalyChina
In The Last Decade
David E. Nichols
48 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 104
- Cellular and Molecular Neuroscience 1.7k
- Molecular Biology 1.6k
- Organic Chemistry 341
- Clinical Psychology 294
- Pharmacology 157
Countries citing papers authored by David E. Nichols
This map shows the geographic impact of David E. Nichols'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 David E. Nichols with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David E. Nichols more than expected).
Fields of papers citing papers by David E. Nichols
This network shows the impact of papers produced by David E. Nichols. 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 David E. Nichols. The network helps show where David E. Nichols may publish in the future.
Co-authorship network of co-authors of David E. Nichols
This figure shows the co-authorship network connecting the top 25 collaborators of David E. Nichols. A scholar is included among the top collaborators of David E. Nichols 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 David E. Nichols. David E. Nichols is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | 10 | |
| 6 | 8 | |
| 7 | 19 | |
| 8 | 3 | |
| 9 | Functional Selectivity and Classical Concepts of Quantitative Pharmacologybreakdown → | 883 |
| 10 | 128 | |
| 11 | 55 | |
| 12 | 17 | |
| 13 | 130 | |
| 14 | 96 | |
| 15 | 10 | |
| 16 | 18 | |
| 17 | 35 | |
| 18 | 7 | |
| 19 | 14 | |
| 20 | 143 |
About David E. Nichols
David E. Nichols is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Pharmacology, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (33 papers), Neurotransmitter Receptor Influence on Behavior (25 papers) and Neuroscience and Neuropharmacology Research (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.7k citations), Molecular Biology (1.6k citations) and Toxicology (65 citations). David E. Nichols has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Richard B. Mailman, Val J. Watts, Bryan L. Roth, Jonathan D. Urban, Harel Weinstein, Jonathan A. Javitch, Patrick M. Sexton, Keith J. Miller, Arthur Christopoulos and Brian K. Kobilka. Their work appears in journals such as Journal of Biological Chemistry, Nature Communications and Brain Research.
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.