Mon‐Li Chu

11.9k citations
133 papers · 9.8k indexed · 2 hit papers · h-index 57

Mon‐Li Chu

132 papers receiving 9.5k citations

Hit Papers

Identification of Novel TGF-β/Smad Gene Targets i...5621982202619962011100200300400500

Peers

Mon‐Li Chu
Comparison fields: 5 of 130
  • Immunology and Allergy 2.8k
  • Cell Biology 2.3k
  • Genetics 3.2k
  • Cancer Research 1.4k
  • Dermatology 788
Replace Cay M. Kielty with:
Cay M. Kielty United Kingdom
Robert E. Burgeson United States
Takako Sasaki Germany
Leena Bruckner‐Tuderman Germany
Francesco Ramirez United States
Lynn Y. Sakai United States
Eero Vuorio Finland
M. Peter Marinkovich United States
C. Adrian Shuttleworth United Kingdom
Mats Paulsson Germany
Mon‐Li Chu relative to Cay M. Kielty United Kingdom Cay M. Kielty's profile →
Citations per field
00.5×1.5×1.9×
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-authorship network

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
#Work
1 201447
2 201158
3 201130
4 201090
5 200978
6 2007217
7 200527
8 200465
9 2003106
10 2003386
11 199931
12 19986
13 199632
14 199661
15 199537
16 1994102
17 199415
18 199117
19 198844
20 1987129

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 9.8k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (73 papers), Connective tissue disorders research (56 papers), Protease and Inhibitor Mechanisms (26 papers), Collagen: Extraction and Characterization (20 papers), Skin and Cellular Biology Research (16 papers), Cancer-related gene regulation (15 papers), RNA Research and Splicing (11 papers) and Muscle Physiology and Disorders (10 papers). The work is most often cited by research in Immunology and Allergy (2.8k citations), Cell Biology (2.3k citations), Genetics (3.2k citations), Cancer Research (1.4k citations) and Dermatology (788 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, Jouni Uitto, Michael P. Bernard, Te‐Cheng Pan, 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, Journal of Investigative Dermatology and Proceedings of the National Academy of Sciences.

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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