Stephen M. Smith
- Molecular Biology top 5%
- Cellular and Molecular Neuroscience top 2%
- Inorganic Chemistry top 5%
- Materials Chemistry
- Cell Biology top 5%
- Co-authors
- Amy C. RosenzweigTimothy L. StemmlerSwati RawatRamakrishnan BalasubramanianLiliya A. YatsunykNicholas P. VyletaMichael AndresenRichard W. Tsien
- Topics
- Neuroscience and Neuropharmacology Research (28 papers)Ion channel regulation and function (23 papers)Neural dynamics and brain function (5 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Stephen M. Smith
62 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 137
- Molecular Biology 1.3k
- Cellular and Molecular Neuroscience 1.0k
- Inorganic Chemistry 373
- Materials Chemistry 273
- Cell Biology 255
Countries citing papers authored by Stephen M. Smith
This map shows the geographic impact of Stephen M. Smith'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 Stephen M. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen M. Smith more than expected).
Fields of papers citing papers by Stephen M. Smith
This network shows the impact of papers produced by Stephen M. Smith. 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 Stephen M. Smith. The network helps show where Stephen M. Smith may publish in the future.
Co-authorship network of co-authors of Stephen M. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Stephen M. Smith. A scholar is included among the top collaborators of Stephen M. Smith 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 Stephen M. Smith. Stephen M. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 30 | |
| 5 | 7 | |
| 6 | 23 | |
| 7 | 37 | |
| 8 | 23 | |
| 9 | 148 | |
| 10 | 37 | |
| 11 | 14 | |
| 12 | 8 | |
| 13 | 50 | |
| 14 | 20 | |
| 15 | 28 | |
| 16 | 25 | |
| 17 | 13 | |
| 18 | 12 | |
| 19 | 84 | |
| 20 | 40 |
About Stephen M. Smith
Stephen M. Smith is a scholar working on Cellular and Molecular Neuroscience, Critical Care and Intensive Care Medicine and Molecular Biology, having authored 62 papers that have together received 2.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (28 papers), Ion channel regulation and function (23 papers) and Neural dynamics and brain function (5 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.0k citations), Sensory Systems (147 citations) and Endocrine and Autonomic Systems (204 citations). Stephen M. Smith has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Amy C. Rosenzweig, Timothy L. Stemmler, Swati Rawat, Ramakrishnan Balasubramanian, Liliya A. Yatsunyk, Nicholas P. Vyleta, Michael Andresen, Richard W. Tsien, Richard H. Scheller and Hemin Chin. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Neuron.
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.