Mike J. Bodkin

26 total papers · 577 total citations
15 papers, 414 citations indexed

About

Mike J. Bodkin is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Mike J. Bodkin has authored 15 papers receiving a total of 414 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 8 papers in Computational Theory and Mathematics. Recurrent topics in Mike J. Bodkin's work include Receptor Mechanisms and Signaling (10 papers), Computational Drug Discovery Methods (8 papers) and Neuropeptides and Animal Physiology (8 papers). Mike J. Bodkin is often cited by papers focused on Receptor Mechanisms and Signaling (10 papers), Computational Drug Discovery Methods (8 papers) and Neuropeptides and Animal Physiology (8 papers). Mike J. Bodkin collaborates with scholars based in United Kingdom, Japan and United States. Mike J. Bodkin's co-authors include Alexander Heifetz, Philip C. Biggin, Matteo Aldeghi, Dmitri G. Fedorov, Ewa I. Chudyk, Andrea Townsend‐Nicholson, Michelle Southey, Iñaki Morao, Vadim Cherezov and Rocco Meli and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Computational Chemistry and Journal of Chemical Theory and Computation.

In The Last Decade

Mike J. Bodkin

14 papers receiving 412 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Mike J. Bodkin	324	203	78	60	59	15	414
Camilo Velez‐Vega	330 1.0×	108 0.5×	70 0.9×	27 0.5×	38 0.6×	19	432
Steven Ramsey	351 1.1×	218 1.1×	108 1.4×	47 0.8×	28 0.5×	14	462
Stefano Raniolo	356 1.1×	105 0.5×	71 0.9×	31 0.5×	31 0.5×	14	434
Ewa I. Chudyk	241 0.7×	117 0.6×	54 0.7×	36 0.6×	38 0.6×	13	404
Germano Heinzelmann	345 1.1×	89 0.4×	74 0.9×	115 1.9×	92 1.6×	25	476
Guanglin Kuang	237 0.7×	176 0.9×	66 0.8×	40 0.7×	57 1.0×	21	440
Kevin Crowell	364 1.1×	62 0.3×	41 0.5×	37 0.6×	64 1.1×	16	474
Jerome P. Nilmeier	305 0.9×	106 0.5×	65 0.8×	14 0.2×	46 0.8×	11	460
Billy J. Williams‐Noonan	271 0.8×	151 0.7×	64 0.8×	19 0.3×	29 0.5×	15	460
Marc Bianciotto	350 1.1×	188 0.9×	109 1.4×	13 0.2×	33 0.6×	16	465

Countries citing papers authored by Mike J. Bodkin

Since Specialization

Citations

This map shows the geographic impact of Mike 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 Mike 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 Mike J. Bodkin more than expected).

Fields of papers citing papers by Mike J. Bodkin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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

All Works

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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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