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 6
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- Cellular transport and secretion 6
- Co-authors
- Donald W. Hilgemann (11 shared papers)Xiaochun Li (10 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 55
- Physiology 98
- Sensory Systems 102
- Bioengineering 15
- Cell Biology 80
- Nephrology 27
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, Bioengineering and Nephrology, having authored 28 papers that have together received 895 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (6 papers), Cellular transport and secretion (6 papers), Ion Channels and Receptors (3 papers), Pluripotent Stem Cells Research (1 paper), Lipid Membrane Structure and Behavior (1 paper), ATP Synthase and ATPases Research (1 paper), Analytical Chemistry and Sensors (1 paper) and Computational Drug Discovery Methods (1 paper). The work is most often cited by research in Physiology (98 citations), Sensory Systems (102 citations), Bioengineering (15 citations), Cell Biology (80 citations) and Nephrology (27 citations). Michael Fine has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Donald W. Hilgemann, Xiaochun Li, Philip Schmiege, Mei-Jung Lin, Günter Blobel, Vincenzo Lariccia, Simona Magi, Marc C. Llaguno, Matthias A. Hediger and Maurine E. Linder. 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.