Michelle Deere

13 total papers · 977 total citations
12 papers, 771 citations indexed

About

Michelle Deere is a scholar working on Rheumatology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Michelle Deere has authored 12 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Rheumatology, 7 papers in Immunology and Allergy and 5 papers in Molecular Biology. Recurrent topics in Michelle Deere's work include Osteoarthritis Treatment and Mechanisms (7 papers), Cell Adhesion Molecules Research (7 papers) and Connective tissue disorders research (3 papers). Michelle Deere is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (7 papers), Cell Adhesion Molecules Research (7 papers) and Connective tissue disorders research (3 papers). Michelle Deere collaborates with scholars based in United States, Canada and South Korea. Michelle Deere's co-authors include Jacqueline T. Hecht, Jack Lawler, Clair A. Francomano, F.F.B. Elder, Wilbur R. Harrison, Laura D. Nelson, Christa Prange, Gregory G. Lennon, Yang Wang and Karla J. Daniels and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Genome Research.

In The Last Decade

Michelle Deere

12 papers receiving 734 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 Deere 399 369 263 226 141 12 771
Hans‐Peter Bächinger 188 0.5× 284 0.8× 285 1.1× 273 1.2× 138 1.0× 14 807
Eleanor B. Golden 371 0.9× 451 1.2× 119 0.5× 186 0.8× 58 0.4× 14 754
D.H. Cohn 239 0.6× 273 0.7× 140 0.5× 294 1.3× 92 0.7× 10 628
W J de Wet 183 0.5× 318 0.9× 236 0.9× 315 1.4× 94 0.7× 14 665
Motomi Enomoto 254 0.6× 346 0.9× 160 0.6× 73 0.3× 99 0.7× 16 625
Glen Taylor 203 0.5× 219 0.6× 155 0.6× 340 1.5× 77 0.5× 7 869
Charlotte Wiberg 201 0.5× 313 0.8× 235 0.9× 121 0.5× 92 0.7× 14 816
Manfred Wiestner 132 0.3× 211 0.6× 182 0.7× 213 0.9× 122 0.9× 9 762
Margaret S. Vail 352 0.9× 195 0.5× 213 0.8× 84 0.4× 88 0.6× 7 734
B. Kerry Maddox 156 0.4× 260 0.7× 219 0.8× 535 2.4× 247 1.8× 9 805

Countries citing papers authored by Michelle Deere

Since Specialization
Citations

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

Fields of papers citing papers by Michelle Deere

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle Deere

This figure shows the co-authorship network connecting the top 25 collaborators of Michelle Deere. A scholar is included among the top collaborators of Michelle Deere 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 Deere. Michelle Deere 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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2026