Michael J. Yetman

11 total papers · 592 total citations
9 papers, 257 citations indexed

About

Michael J. Yetman is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Cognitive Neuroscience. According to data from OpenAlex, Michael J. Yetman has authored 9 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cellular and Molecular Neuroscience, 5 papers in Developmental Neuroscience and 3 papers in Cognitive Neuroscience. Recurrent topics in Michael J. Yetman's work include Neuroscience and Neuropharmacology Research (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Alzheimer's disease research and treatments (3 papers). Michael J. Yetman is often cited by papers focused on Neuroscience and Neuropharmacology Research (7 papers), Neurogenesis and neuroplasticity mechanisms (5 papers) and Alzheimer's disease research and treatments (3 papers). Michael J. Yetman collaborates with scholars based in United States, Norway and Russia. Michael J. Yetman's co-authors include Joanna L. Jankowsky, Yuqing Chen, Min‐Yu Sun, Hyo Jin Han, Shaefali P. Rodgers, Trygve B. Leergaard, Huan Lu, Byoung‐Joon Song, Hiroki Taniguchi and Frank J. Probst and has published in prestigious journals such as Journal of Neuroscience, Nature Neuroscience and PLoS ONE.

In The Last Decade

Michael J. Yetman

9 papers receiving 255 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 J. Yetman 124 86 83 71 70 9 257
Bruna Valério‐Gomes 66 0.5× 96 1.1× 84 1.0× 71 1.0× 45 0.6× 9 275
Yumiko Iwamoto 89 0.7× 133 1.5× 131 1.6× 62 0.9× 44 0.6× 7 327
Keit Men Wong 152 1.2× 37 0.4× 91 1.1× 47 0.7× 68 1.0× 11 294
Sharon I. de Vries 110 0.9× 43 0.5× 109 1.3× 76 1.1× 63 0.9× 6 262
Daniel Maxim Iascone 152 1.2× 65 0.8× 125 1.5× 38 0.5× 46 0.7× 10 325
Seulgi Noh 117 0.9× 64 0.7× 91 1.1× 162 2.3× 66 0.9× 8 332
Jian J. Li 123 1.0× 67 0.8× 129 1.6× 60 0.8× 33 0.5× 11 308
Luis Quintanilla 134 1.1× 33 0.4× 80 1.0× 45 0.6× 132 1.9× 10 290
Tanja Novkovic 105 0.8× 39 0.5× 67 0.8× 97 1.4× 58 0.8× 7 309
Laura Sancho 105 0.8× 50 0.6× 94 1.1× 78 1.1× 36 0.5× 6 273

Countries citing papers authored by Michael J. Yetman

Since Specialization
Citations

This map shows the geographic impact of Michael J. Yetman'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. Yetman 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. Yetman more than expected).

Fields of papers citing papers by Michael J. Yetman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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