Steven M. Sine
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research 15
- Molecular Biology top 0.5%
- Ion channel regulation and function 120
- Nicotinic Acetylcholine Receptors Study 116
- Receptor Mechanisms and Signaling 71
- Neurology top 0.5%
- Myasthenia Gravis and Thymoma 32
- Insect Science top 0.5%
- Insect and Pesticide Research 14
- Cell Biology top 1%
- Cellular transport and secretion 14
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- Cholinesterase and Neurodegenerative Diseases 13
- Co-authors
- Andrew G. EngelPalmer TaylorF.J. SigworthKinji OhnoCecilia BouzatJoe Henry SteinbachHailong WangNina Bren
- Partner nations
- United StatesArgentinaUnited Kingdom
In The Last Decade
Steven M. Sine
159 papers receiving 10.6k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Cellular and Molecular Neuroscience 2.9k
- Molecular Biology 9.6k
- Neurology 1.6k
- Insect Science 1.1k
- Cell Biology 1.0k
Countries citing papers authored by Steven M. Sine
This map shows the geographic impact of Steven M. Sine'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 Steven M. Sine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven M. Sine more than expected).
Fields of papers citing papers by Steven M. Sine
This network shows the impact of papers produced by Steven M. Sine. 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 Steven M. Sine. The network helps show where Steven M. Sine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steven M. Sine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 6 | |
| 3 | 2023 | 4 | |
| 4 | 2020 | 14 | |
| 5 | 2013 | 23 | |
| 6 | 2013 | 25 | |
| 7 | 2009 | 85 | |
| 8 | 2009 | 22 | |
| 9 | 2009 | 177 | |
| 10 | 2008 | 53 | |
| 11 | 2008 | 41 | |
| 12 | 2007 | 57 | |
| 13 | 2006 | 105 | |
| 14 | 2005 | 239 | |
| 15 | 2004 | 7 | |
| 16 | 2003 | 60 | |
| 17 | 2002 | 163 | |
| 18 | 2002 | 46 | |
| 19 | 1994 | 132 | |
| 20 | Functional consequences of agonist-mediated state transitions in the cholinergic receptor | 1979 | 52 |
About Steven M. Sine
Steven M. Sine is a scholar working on Molecular Biology, Neurology and Cellular and Molecular Neuroscience, having authored 161 papers that have together received 10.8k indexed citations. Recurring topics across this work include Ion channel regulation and function (120 papers), Nicotinic Acetylcholine Receptors Study (116 papers), Receptor Mechanisms and Signaling (71 papers), Myasthenia Gravis and Thymoma (32 papers), Neuroscience and Neuropharmacology Research (15 papers), Insect and Pesticide Research (14 papers), Cellular transport and secretion (14 papers) and Cholinesterase and Neurodegenerative Diseases (13 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.9k citations), Molecular Biology (9.6k citations) and Neurology (1.6k citations). Steven M. Sine has collaborated with scholars based in United States, Argentina and United Kingdom. Frequent co-authors include Andrew G. Engel, Palmer Taylor, F.J. Sigworth, Kinji Ohno, Cecilia Bouzat, Joe Henry Steinbach, Hailong Wang, Nina Bren, Won Yong Lee and Xin‐Ming Shen. Their work appears in journals such as Nature, Science and Cell.
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.