Michael J. Bodkin

420 total citations
18 papers, 360 citations indexed

About

Michael J. Bodkin is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cellular and Molecular Neuroscience. According to data from OpenAlex, Michael J. Bodkin has authored 18 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 4 papers in Computational Theory and Mathematics and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Michael J. Bodkin's work include Receptor Mechanisms and Signaling (5 papers), Protein Structure and Dynamics (4 papers) and Computational Drug Discovery Methods (4 papers). Michael J. Bodkin is often cited by papers focused on Receptor Mechanisms and Signaling (5 papers), Protein Structure and Dynamics (4 papers) and Computational Drug Discovery Methods (4 papers). Michael J. Bodkin collaborates with scholars based in United Kingdom, United States and Germany. Michael J. Bodkin's co-authors include Julia M. Goodfellow, Rochelle Hirschhorn, Frank Martiniuk, S Tzall, Alexander Heifetz, David A. Evans, Iñaki Morao, Gareth T. Young, Peter C. Astles and Lisa M. Broad and has published in prestigious journals such as Journal of Virology, Molecular Pharmacology and Journal of Chemical Theory and Computation.

In The Last Decade

Michael J. Bodkin

17 papers receiving 354 citations

Peers

Michael J. Bodkin
Comparison fields: 5 of 70
  • Molecular Biology 215
  • Physiology 102
  • Organic Chemistry 86
  • Rheumatology 73
  • Materials Chemistry 36
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Citations per field, relative to Michael J. Bodkin
Michael J. Bodkin · 1×
Citations per year, relative to Michael J. Bodkin
Michael J. Bodkin · 1×

Countries citing papers authored by Michael J. Bodkin

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Bodkin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael J. Bodkin

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 0
2 17
3 7
4 4
5 25
6 6
7 1
8 1
9 18
10 40
11 69
12 18
13 30
14 4
15 3
16 67
17 17
18
Identification of the base-pair substitution responsible for a human acid alpha glucosidase allele with lower "affinity" for glycogen (GAA 2) and transient gene expression in deficient cells.
33

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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