Michelle J. Chang

71 total papers · 559 total citations
41 papers, 357 citations indexed

About

Michelle J. Chang is a scholar working on Surgery, Epidemiology and Dermatology. According to data from OpenAlex, Michelle J. Chang has authored 41 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Surgery, 24 papers in Epidemiology and 7 papers in Dermatology. Recurrent topics in Michelle J. Chang's work include Shoulder Injury and Treatment (21 papers), Shoulder and Clavicle Injuries (19 papers) and Nerve Injury and Rehabilitation (12 papers). Michelle J. Chang is often cited by papers focused on Shoulder Injury and Treatment (21 papers), Shoulder and Clavicle Injuries (19 papers) and Nerve Injury and Rehabilitation (12 papers). Michelle J. Chang collaborates with scholars based in United States, Canada and Bermuda. Michelle J. Chang's co-authors include Jarret M. Woodmass, Eric R. Wagner, Jon J.P. Warner, Laurence D. Higgins, Kyle Borque, Shari R. Lipner, Taylor S. Riall, Hilary McClafferty, Valentine Nfonsam and Bassem T. Elhassan and has published in prestigious journals such as Journal of the American Academy of Dermatology, Arthroscopy The Journal of Arthroscopic and Related Surgery and Journal of the American College of Surgeons.

In The Last Decade

Michelle J. Chang

33 papers receiving 351 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 J. Chang 236 214 54 52 40 41 357
Sarah E. Sasor 150 0.6× 65 0.3× 39 0.7× 72 1.4× 59 1.5× 32 313
Manan S. Patel 260 1.1× 147 0.7× 24 0.4× 24 0.5× 4 0.1× 47 352
Abdullah E. Kattan 203 0.9× 76 0.4× 43 0.8× 70 1.3× 8 0.2× 50 381
Ryan Ottwell 92 0.4× 52 0.2× 55 1.0× 53 1.0× 5 0.1× 70 334
Ericka A. Lawler 243 1.0× 47 0.2× 34 0.6× 67 1.3× 24 0.6× 27 330
Ana Olivia Cortés‐Flores 161 0.7× 64 0.3× 43 0.8× 46 0.9× 10 0.3× 34 400
John A. Flynn 62 0.3× 84 0.4× 58 1.1× 53 1.0× 8 0.2× 29 395
David N. Kugelman 314 1.3× 103 0.5× 29 0.5× 34 0.7× 12 0.3× 46 393
Samir Sabharwal 219 0.9× 95 0.4× 19 0.4× 26 0.5× 15 0.4× 38 313
William W. Dexter 107 0.5× 87 0.4× 12 0.2× 65 1.3× 14 0.3× 37 338

Countries citing papers authored by Michelle J. Chang

Since Specialization
Citations

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

Fields of papers citing papers by Michelle J. Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michelle J. Chang

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