Samuel T. Slocum
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Computational Theory and Mathematics top 5%
- Organic Chemistry
- Pharmacology top 10%
- Co-authors
- Bryan L. RothJeffrey F. DiBertoTao CheJohn D. McCorvyRyan T. StrachanReid H. J. OlsenB. KrummJustin G. English
- Topics
- Receptor Mechanisms and Signaling (5 papers)Microbial Natural Products and Biosynthesis (4 papers)Neuropeptides and Animal Physiology (3 papers)
- Cited by
- Cellular and Molecular NeuroscienceEndocrine and Autonomic SystemsComputational Theory and Mathematics
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Samuel T. Slocum
13 papers receiving 860 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Molecular Biology 572
- Cellular and Molecular Neuroscience 304
- Computational Theory and Mathematics 133
- Organic Chemistry 133
- Pharmacology 104
Countries citing papers authored by Samuel T. Slocum
This map shows the geographic impact of Samuel T. Slocum'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 Samuel T. Slocum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel T. Slocum more than expected).
Fields of papers citing papers by Samuel T. Slocum
This network shows the impact of papers produced by Samuel T. Slocum. 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 Samuel T. Slocum. The network helps show where Samuel T. Slocum may publish in the future.
Co-authorship network of co-authors of Samuel T. Slocum
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel T. Slocum. A scholar is included among the top collaborators of Samuel T. Slocum 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 Samuel T. Slocum. Samuel T. Slocum is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 36 | |
| 4 | 7 | |
| 5 | 17 | |
| 6 | 22 | |
| 7 | 39 | |
| 8 | 63 | |
| 9 | 212 | |
| 10 | 8 | |
| 11 | TRUPATH, an open-source biosensor platform for interrogating the GPCR transduceromebreakdown → | 339 |
| 12 | 23 | |
| 13 | 6 | |
| 14 | 76 |
About Samuel T. Slocum
Samuel T. Slocum is a scholar working on Biotechnology, Cellular and Molecular Neuroscience and Pharmacology, having authored 14 papers that have together received 867 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (5 papers), Microbial Natural Products and Biosynthesis (4 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (304 citations), Endocrine and Autonomic Systems (69 citations) and Computational Theory and Mathematics (133 citations). Samuel T. Slocum has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Bryan L. Roth, Jeffrey F. DiBerto, Tao Che, John D. McCorvy, Ryan T. Strachan, Reid H. J. Olsen, B. Krumm, Justin G. English, Xi‐Ping Huang and Terry Kenakin. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.
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.