Michelle M. Tabb

17 total papers · 1.8k total citations
15 papers, 1.5k citations indexed

About

Michelle M. Tabb is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Michelle M. Tabb has authored 15 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Genetics. Recurrent topics in Michelle M. Tabb's work include Estrogen and related hormone effects (5 papers), Hormonal Regulation and Hypertension (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Michelle M. Tabb is often cited by papers focused on Estrogen and related hormone effects (5 papers), Hormonal Regulation and Hypertension (4 papers) and Pharmacogenetics and Drug Metabolism (4 papers). Michelle M. Tabb collaborates with scholars based in United States and Japan. Michelle M. Tabb's co-authors include Bruce Blumberg, Changcheng Zhou, Felix Grün, Michio Nomura, M Nomura, Aixu Sun, Melanie Oakes, Paul M. Roberts, David S. Goldfarb and Zhenyu Gu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

In The Last Decade

Michelle M. Tabb

15 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Michelle M. Tabb 586 337 275 268 267 15 1.5k
R. Michael McClain 453 0.8× 384 1.1× 128 0.5× 191 0.7× 331 1.2× 45 1.7k
Douglas Β. Tully 384 0.7× 502 1.5× 171 0.6× 317 1.2× 78 0.3× 25 1.4k
Nadine Dragin 394 0.7× 324 1.0× 94 0.3× 123 0.5× 130 0.5× 32 1.5k
Sultan S. Habeebu 297 0.5× 573 1.7× 373 1.4× 142 0.5× 66 0.2× 23 1.2k
Yannick Morel 573 1.0× 287 0.9× 123 0.4× 64 0.2× 72 0.3× 21 1.4k
Christopher T. Privalle 723 1.2× 127 0.4× 105 0.4× 188 0.7× 208 0.8× 27 1.4k
Hebron C. Chang 454 0.8× 217 0.6× 211 0.8× 343 1.3× 287 1.1× 38 1.6k
R. A. Barter 220 0.4× 577 1.7× 184 0.7× 117 0.4× 202 0.8× 35 1.5k
Courtney G. Woods 1.1k 1.8× 354 1.1× 145 0.5× 64 0.2× 128 0.5× 43 1.8k
Onard Schoneveld 827 1.4× 112 0.3× 122 0.4× 168 0.6× 108 0.4× 12 1.8k

Countries citing papers authored by Michelle M. Tabb

Since Specialization
Citations

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

Fields of papers citing papers by Michelle M. Tabb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle M. Tabb. 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 Michelle M. Tabb. The network helps show where Michelle M. Tabb may publish in the future.

Co-authorship network of co-authors of Michelle M. Tabb

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle M. Tabb. A scholar is included among the top collaborators of Michelle M. Tabb 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 Michelle M. Tabb. Michelle M. Tabb 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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