Michael L. Peacock

31 total papers · 1.4k total citations
27 papers, 1.0k citations indexed

About

Michael L. Peacock is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Michael L. Peacock has authored 27 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 7 papers in Physiology and 7 papers in Genetics. Recurrent topics in Michael L. Peacock's work include Digestive system and related health (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Receptor Mechanisms and Signaling (3 papers). Michael L. Peacock is often cited by papers focused on Digestive system and related health (5 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Receptor Mechanisms and Signaling (3 papers). Michael L. Peacock collaborates with scholars based in United States and Canada. Michael L. Peacock's co-authors include John K. Fink, Ruth A. Decker, Robert S. Bar, James T. Warren, Marilyn J. Borst, Patrice Watson, John C. Hoak, Robert G. Spanheimer, Erika Yorida and Malcolm Hayes and has published in prestigious journals such as Development, The Journal of Clinical Endocrinology & Metabolism and Neurology.

In The Last Decade

Michael L. Peacock

27 papers receiving 999 citations

Author Peers

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

Author Last Decade Papers Cites
Michael L. Peacock 437 260 210 193 187 27 1.0k
Susanna Benvenuti 498 1.1× 236 0.9× 264 1.3× 162 0.8× 226 1.2× 36 1.1k
Christine Bétard 444 1.0× 141 0.5× 252 1.2× 240 1.2× 305 1.6× 22 1.1k
Sang Woo Han 405 0.9× 183 0.7× 223 1.1× 456 2.4× 104 0.6× 24 1.1k
Petter Vikman 476 1.1× 217 0.8× 298 1.4× 258 1.3× 185 1.0× 25 1.1k
Masami Shimizu‐Albergine 519 1.2× 118 0.5× 135 0.6× 104 0.5× 65 0.3× 25 915
Bei Song 387 0.9× 138 0.5× 161 0.8× 132 0.7× 41 0.2× 38 1.1k
Roberta Buono 522 1.2× 125 0.5× 156 0.7× 506 2.6× 98 0.5× 33 1.1k
Deborah Kronenberg‐Versteeg 261 0.6× 254 1.0× 310 1.5× 176 0.9× 425 2.3× 23 1.2k
Jyoti Disa 493 1.1× 155 0.6× 269 1.3× 183 0.9× 59 0.3× 36 1.2k
Hui Yang 426 1.0× 107 0.4× 162 0.8× 132 0.7× 111 0.6× 71 1.2k

Countries citing papers authored by Michael L. Peacock

Since Specialization
Citations

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

Fields of papers citing papers by Michael L. Peacock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael L. Peacock

This figure shows the co-authorship network connecting the top 25 collaborators of Michael L. Peacock. A scholar is included among the top collaborators of Michael L. Peacock 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 L. Peacock. Michael L. Peacock 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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