Michael C. Pitman

46 papers receiving 2.4k citations

Hit Papers

Analysis of the sugar specificity and molecular location ...19962026200620161996100200300400500

Peers

Michael C. Pitman
Comparison fields: 5 of 137
  • Molecular Biology 1.5k
  • Cellular and Molecular Neuroscience 665
  • Immunology 223
  • Atomic and Molecular Physics, and Optics 203
  • Materials Chemistry 194
Replace Mark J. Williamson with:
Mark J. Williamson United Kingdom
Diwakar Shukla United States
Nobuhiro Hayashi Japan
Walter Rocchia Italy
Kwan Hon Cheng United States
Kunihiro Kitamura Japan
Jianping Wu China
N. Krawetz United States
Ion I. Moraru United States
Michael C. Pitman relative to Mark J. Williamson United Kingdom Mark J. Williamson's profile →
Citations per field
00.5×3.3×
Mark J. Williamson · 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-authorship network of co-authors of Michael C. Pitman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael C. Pitman. A scholar is included among the top collaborators of Michael C. Pitman 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 C. Pitman. Michael C. Pitman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 5
3 13
4 16
5 28
6 13
7 6
8 1
9 175
10 1
11 1
12 59
13 1
14 77
15 96
16 119
17 146
18 34
19 53
20 19

About Michael C. Pitman

Michael C. Pitman is a scholar working on Cellular and Molecular Neuroscience, Hardware and Architecture and Molecular Biology, having authored 47 papers that have together received 2.4k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (21 papers), Photoreceptor and optogenetics research (17 papers) and Protein Structure and Dynamics (11 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (665 citations), Molecular Biology (1.5k citations) and Hardware and Architecture (84 citations). Michael C. Pitman has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Scott E. Feller, Alan Grossfield, Benjamin P. Thornton, Václav Větvička, G D Ross, Rachel Goldman, Adri C. T. van Duin, Frank Suits, Klaus Gawrisch and Tod D. Romo. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

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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