Mon‐Li Chu

11.9k citations
133 papers · 10.5k · h-index 59

Impact in

    • Cell Adhesion Molecules Research
  • Cell Biology top 0.5%
    • Skin and Cellular Biology Research
    • Cellular Mechanics and Interactions
    • Proteoglycans and glycosaminoglycans research

Papers in

Mon‐Li Chu

131 papers receiving 10.0k citations

Peers

Mon‐Li Chu
Comparison fields: 5 of 127
  • Immunology and Allergy 3.0k
  • Cell Biology 2.3k
  • Genetics 3.3k
  • Cancer Research 1.4k
  • Dermatology 785
Replace Cay M. Kielty with:
Cay M. Kielty United Kingdom
Robert E. Burgeson United States
Takako Sasaki Germany
Lynn Y. Sakai United States
Francesco Ramirez United States
EERO I. VUORIO Finland
C. Adrian Shuttleworth United Kingdom
Matt Peter Marinkovich United States
Dieter Peter Reinhardt Canada
Jeanne C. Myers United States
Mon‐Li Chu relative to Cay M. Kielty United Kingdom Cay M. Kielty's profile →
Citations per field
00.5×1.5×2.0×
Cay M. Kielty · 1×
Citations per year

Countries citing papers authored by Mon‐Li Chu

Since Specialization
Citations

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

Fields of papers citing papers by Mon‐Li Chu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mon‐Li Chu. 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 Mon‐Li Chu. The network helps show where Mon‐Li Chu may publish in the future.

Co-authors

The 25 scholars most cited alongside Mon‐Li Chu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mon‐Li Chu Line = papers co-authored together Mon‐Li Chu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001583
2 1982480
3 2003408
4 2007231
5 1985228
6 1991228
7 1989208
8 1991204
9 1984198
10 1994194
11 1985193
12 1985185
13 1981182
14 1990179
15 1991177
16 1983159
17 1988157
18 1983154
19 1993152
20 1985151

About Mon‐Li Chu

Mon‐Li Chu is a scholar working on Immunology and Allergy, Genetics, Cancer Research, Cell Biology and Biomaterials, having authored 133 papers that have together received 10.5k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (74 papers), Connective tissue disorders research (56 papers), Protease and Inhibitor Mechanisms (25 papers), Collagen: Extraction and Characterization (21 papers), Skin and Cellular Biology Research (16 papers), Cancer-related gene regulation (15 papers), Muscle Physiology and Disorders (9 papers) and RNA Research and Splicing (9 papers). The work is most often cited by research in Immunology and Allergy (3.0k citations), Cell Biology (2.3k citations), Genetics (3.3k citations), Cancer Research (1.4k citations) and Dermatology (785 citations). Mon‐Li Chu has collaborated with scholars based in United States, Germany and France. Frequent co-authors include Rupert Timpl, Francesco Ramirez, Takako Sasaki, Te‐Cheng Pan, Michael P. Bernard, Jouni Uitto, Alain Mauviel, Franck Verrecchia, Jeanne C. Myers and Günter Kostka. Their work appears in journals such as Journal of Biological Chemistry, European Journal of Biochemistry, Annals of the New York Academy of Sciences, Proceedings of the National Academy of Sciences and Journal of Investigative Dermatology.

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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