Michael T. Griffin
- Molecular Biology
- Cellular and Molecular Neuroscience top 5%
- Urology top 5%
- Physiology
- Computational Theory and Mathematics top 10%
- Co-authors
- Frederick J. EhlertKatherine W. FigueroaMinoru MatsuiMakoto M. TaketoDarakhshanda ShehnazDavid N. KuGregory W. SawyerPing‐Yee Law
- Topics
- Receptor Mechanisms and Signaling (25 papers)Neuropeptides and Animal Physiology (16 papers)Pharmacological Effects and Assays (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchJournal of Neurochemistry
- Partner nations
- United StatesJapanCanada
In The Last Decade
Michael T. Griffin
46 papers receiving 890 citations
Peers
Comparison fields: 5 of 113
- Molecular Biology 594
- Cellular and Molecular Neuroscience 447
- Urology 94
- Physiology 74
- Computational Theory and Mathematics 60
Countries citing papers authored by Michael T. Griffin
This map shows the geographic impact of Michael T. Griffin'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 Michael T. Griffin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Griffin more than expected).
Fields of papers citing papers by Michael T. Griffin
This network shows the impact of papers produced by Michael T. Griffin. 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 Michael T. Griffin. The network helps show where Michael T. Griffin may publish in the future.
Co-authorship network of co-authors of Michael T. Griffin
This figure shows the co-authorship network connecting the top 25 collaborators of Michael T. Griffin. A scholar is included among the top collaborators of Michael T. Griffin 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 Michael T. Griffin. Michael T. Griffin 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 | 21 | |
| 3 | 26 | |
| 4 | 32 | |
| 5 | 23 | |
| 6 | 11 | |
| 7 | 8 | |
| 8 | 19 | |
| 9 | 63 | |
| 10 | 103 | |
| 11 | 69 | |
| 12 | 18 | |
| 13 | 56 | |
| 14 | 19 | |
| 15 | Acetylcholine-mediated desensitization of histamine-induced contraction in the guinea pig ileum is prevented by pertussis toxin or by inactivation of muscarinic M3 receptors | 2 |
| 16 | 5 | |
| 17 | 69 | |
| 18 | 10 | |
| 19 | 34 | |
| 20 | 6 |
About Michael T. Griffin
Michael T. Griffin is a scholar working on Cellular and Molecular Neuroscience, Internal Medicine and Issues, ethics and legal aspects, having authored 46 papers that have together received 914 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (25 papers), Neuropeptides and Animal Physiology (16 papers) and Pharmacological Effects and Assays (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (447 citations), Urology (94 citations) and Sensory Systems (52 citations). Michael T. Griffin has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Frederick J. Ehlert, Katherine W. Figueroa, Minoru Matsui, Makoto M. Taketo, Darakhshanda Shehnaz, David N. Ku, Gregory W. Sawyer, Ping‐Yee Law, Horace H. Loh and Alex K. Manda. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Journal of Neurochemistry.
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.