Michael J. Fairchild

25 total papers · 698 total citations
17 papers, 492 citations indexed

About

Michael J. Fairchild is a scholar working on Cell Biology, Immunology and Allergy and Molecular Biology. According to data from OpenAlex, Michael J. Fairchild has authored 17 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cell Biology, 7 papers in Immunology and Allergy and 5 papers in Molecular Biology. Recurrent topics in Michael J. Fairchild's work include Cellular Mechanics and Interactions (9 papers), Cell Adhesion Molecules Research (7 papers) and Silk-based biomaterials and applications (4 papers). Michael J. Fairchild is often cited by papers focused on Cellular Mechanics and Interactions (9 papers), Cell Adhesion Molecules Research (7 papers) and Silk-based biomaterials and applications (4 papers). Michael J. Fairchild collaborates with scholars based in Canada, United States and United Kingdom. Michael J. Fairchild's co-authors include Guy Tanentzapf, Sally Horne‐Badovinac, Guillermina R. Ramirez-San Juan, Lindsay Lewellyn, Maureen Cetera, Patrick W. Oakes, Margaret L. Gardel, Stephanie J. Ellis, Lin Yuan and Alexander Perkins and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and Development.

In The Last Decade

Michael J. Fairchild

17 papers receiving 488 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. Fairchild 327 168 143 64 62 17 492
Maureen Cetera 354 1.1× 264 1.6× 54 0.4× 71 1.1× 64 1.0× 10 527
Guillermina R. Ramirez-San Juan 276 0.8× 104 0.6× 54 0.4× 128 2.0× 34 0.5× 7 432
Etsuko Hasegawa 160 0.5× 182 1.1× 167 1.2× 32 0.5× 44 0.7× 9 422
Tina Wiegand 262 0.8× 148 0.9× 115 0.8× 135 2.1× 18 0.3× 9 465
Tamara C. Bidone 381 1.2× 173 1.0× 102 0.7× 119 1.9× 25 0.4× 32 536
Giovanni Meacci 360 1.1× 171 1.0× 79 0.6× 195 3.0× 40 0.6× 10 534
Anna Erzberger 316 1.0× 159 0.9× 37 0.3× 168 2.6× 43 0.7× 18 543
Jay Hou 261 0.8× 155 0.9× 37 0.3× 161 2.5× 37 0.6× 11 476
Justin Crest 261 0.8× 169 1.0× 42 0.3× 185 2.9× 36 0.6× 15 525
G. Langanger 209 0.6× 282 1.7× 45 0.3× 78 1.2× 36 0.6× 7 521

Countries citing papers authored by Michael J. Fairchild

Since Specialization
Citations

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

Fields of papers citing papers by Michael J. Fairchild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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