Michael Fine
Impact in
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
- Sensory Systems top 5%
- Ion Channels and Receptors
Papers in
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- Calcium signaling and nucleotide metabolism 7
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- Cellular transport and secretion 8
- Co-authors
- Xiaochun Li (10 shared papers)Donald W. Hilgemann (11 shared papers)Philip Schmiege (6 shared papers)Mei-Jung Lin (7 shared papers)Günter Blobel (1 shared paper)Vincenzo Lariccia (3 shared papers)Simona Magi (2 shared papers)Marc C. Llaguno (2 shared papers)
- Journals
- Nature Communications (4 papers)The Journal of General Physiology (4 papers)eLife (2 papers)Cell Calcium (2 papers)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United StatesSwitzerlandIreland
In The Last Decade
Michael Fine
28 papers receiving 881 citations
Peers
Comparison fields: 5 of 75
- Physiology 132
- Sensory Systems 131
- Cell Biology 154
- Bioengineering 16
- Structural Biology 14
Countries citing papers authored by Michael Fine
This map shows the geographic impact of Michael Fine'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 Fine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Fine more than expected).
Fields of papers citing papers by Michael Fine
This network shows the impact of papers produced by Michael Fine. 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 Fine. The network helps show where Michael Fine may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Fine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 128 | |
| 2 | 2010 | 84 | |
| 3 | 2018 | 77 | |
| 4 | 2013 | 63 | |
| 5 | 2013 | 61 | |
| 6 | 2015 | 59 | |
| 7 | 2018 | 47 | |
| 8 | 2022 | 42 | |
| 9 | 2011 | 37 | |
| 10 | 2011 | 34 | |
| 11 | 2014 | 34 | |
| 12 | 2022 | 34 | |
| 13 | 2013 | 30 | |
| 14 | 2019 | 30 | |
| 15 | 2021 | 28 | |
| 16 | 2016 | 21 | |
| 17 | 2021 | 18 | |
| 18 | 2019 | 13 | |
| 19 | 2018 | 11 | |
| 20 | 2019 | 11 |
About Michael Fine
Michael Fine is a scholar working on Physiology, Cell Biology, Sensory Systems, Structural Biology and Molecular Biology, having authored 28 papers that have together received 895 indexed citations. Recurring topics across this work include Cellular transport and secretion (8 papers), Calcium signaling and nucleotide metabolism (7 papers), Ion Channels and Receptors (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Lipid Membrane Structure and Behavior (3 papers), Pluripotent Stem Cells Research (2 papers), Mitochondrial Function and Pathology (2 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Physiology (132 citations), Sensory Systems (131 citations), Cell Biology (154 citations), Bioengineering (16 citations) and Structural Biology (14 citations). Michael Fine has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Xiaochun Li, Donald W. Hilgemann, Philip Schmiege, Mei-Jung Lin, Günter Blobel, Vincenzo Lariccia, Simona Magi, Marc C. Llaguno, Benjamin C. Jennings and Matthias A. Hediger. Their work appears in journals such as Nature Communications, The Journal of General Physiology, eLife, Cell Calcium and Methods in enzymology on CD-ROM/Methods in enzymology.
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.