Michael C. Pitman

3.4k citations
50 papers · 2.9k · h-index 25

Impact in

    • Photoreceptor and optogenetics research
    • Neuropeptides and Animal Physiology
    • Neuroscience and Neuropharmacology Research
    • Receptor Mechanisms and Signaling
    • Lipid Membrane Structure and Behavior
    • Protein Structure and Dynamics

Papers in

Michael C. Pitman

49 papers receiving 2.8k citations

Peers

Michael C. Pitman
Comparison fields: 5 of 145
  • Cellular and Molecular Neuroscience 722
  • Molecular Biology 1.8k
  • Hardware and Architecture 188
  • Immunology and Allergy 78
  • Spectroscopy 191
Replace Duncan Poole with:
Duncan Poole United States
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Taehoon Kim South Korea
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Helgi I. Ingólfsson United States
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Citations per field
00.5×2×3.5×
Duncan Poole · 1×
Citations per year

Countries citing papers authored by Michael C. Pitman

Since Specialization
Citations

This map shows the geographic impact of Michael C. Pitman'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 C. Pitman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael C. Pitman more than expected).

Fields of papers citing papers by Michael C. Pitman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael C. Pitman. 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 C. Pitman. The network helps show where Michael C. Pitman may publish in the future.

Co-authors

The 25 scholars most cited alongside Michael C. Pitman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael C. Pitman Line = papers co-authored together Michael C. Pitman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996526
2 2006247
3 2012215
4 2001198
5 2010180
6 2004161
7 2007159
8 2008129
9 2005120
10 2008102
11 200980
12 200669
13 200361
14 201060
15 200658
16 200645
17 201344
18 200739
19 200635
20 200535

About Michael C. Pitman

Michael C. Pitman is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Hardware and Architecture, Spectroscopy and Cardiology and Cardiovascular Medicine, having authored 50 papers that have together received 2.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (19 papers), Photoreceptor and optogenetics research (17 papers), Protein Structure and Dynamics (13 papers), Lipid Membrane Structure and Behavior (10 papers), Cardiovascular Function and Risk Factors (6 papers), Cardiac electrophysiology and arrhythmias (6 papers), Neuroscience and Neuropharmacology Research (6 papers) and Parallel Computing and Optimization Techniques (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (722 citations), Molecular Biology (1.8k citations), Hardware and Architecture (188 citations), Immunology and Allergy (78 citations) and Spectroscopy (191 citations). Michael C. Pitman has collaborated with scholars based in United States, Germany and Russia. Frequent co-authors include Scott E. Feller, Alan M. Grossfield, Adri C. T. van Duin, Rachel Goldman, Václav Větvička, G D Ross, Benjamin P. Thornton, Frank Suits, Klaus Gawrisch and Tod D. Romo. Their work appears in journals such as Biophysical Journal, Journal of the American Chemical Society, IBM Journal of Research and Development, Proteins Structure Function and Bioinformatics and Biochemistry.

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.

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