Monica Chang

38 total papers · 5.3k total citations
25 papers, 1.7k citations indexed

About

Monica Chang is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Monica Chang has authored 25 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Immunology, 6 papers in Molecular Biology and 6 papers in Genetics. Recurrent topics in Monica Chang's work include Psoriasis: Treatment and Pathogenesis (6 papers), Diabetes and associated disorders (6 papers) and Asthma and respiratory diseases (5 papers). Monica Chang is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (6 papers), Diabetes and associated disorders (6 papers) and Asthma and respiratory diseases (5 papers). Monica Chang collaborates with scholars based in United States, Netherlands and Poland. Monica Chang's co-authors include Ann B. Begovich, Joseph J. Catanese, Steven J. Schrodi, Mark Leppert, Nori Matsunami, Kristin Ardlie, Verónica García, Gerald G. Krueger, Rhonda Brandon and Diane U. Leong and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Monica Chang

25 papers receiving 1.7k citations

Hit Papers

A Large-Scale Genetic Ass... 2007 2026 2013 2019 2007 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Monica Chang 1.1k 450 355 320 310 25 1.7k
Chris Morehouse 1.0k 0.9× 725 1.6× 260 0.7× 179 0.6× 576 1.9× 42 2.1k
Michael I. Jesson 467 0.4× 500 1.1× 160 0.5× 139 0.4× 271 0.9× 21 1.6k
Michael Boedigheimer 591 0.5× 227 0.5× 167 0.5× 148 0.5× 511 1.6× 38 1.8k
Fredrik Enlund 525 0.5× 159 0.4× 90 0.3× 342 1.1× 209 0.7× 31 1.4k
Fabien B. Vincent 1.2k 1.0× 778 1.7× 109 0.3× 51 0.2× 233 0.8× 33 1.8k
Alvina D. Chu 718 0.6× 834 1.9× 105 0.3× 1.0k 3.2× 91 0.3× 34 2.2k
G. M. Bartelds 999 0.9× 971 2.2× 288 0.8× 82 0.3× 177 0.6× 15 1.9k
Abel Suárez‐Fueyo 885 0.8× 549 1.2× 82 0.2× 78 0.2× 334 1.1× 21 1.4k
Yoshikata Misaki 808 0.7× 208 0.5× 106 0.3× 62 0.2× 221 0.7× 39 1.3k
Eustratios Bananis 592 0.5× 931 2.1× 107 0.3× 124 0.4× 303 1.0× 60 2.2k

Countries citing papers authored by Monica Chang

Since Specialization
Citations

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

Fields of papers citing papers by Monica Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Monica Chang

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