Su‐Li Cheng

56 papers receiving 4.5k citations

Peers

Su‐Li Cheng
Comparison fields: 5 of 109
  • Nephrology 749
  • Orthopedics and Sports Medicine 324
  • Rheumatology 567
  • Immunology and Allergy 228
  • Molecular Biology 2.2k
Replace Ann E. Canfield with:
Ann E. Canfield United Kingdom
J E Tarpley United States
Janet E. Henderson Canada
Leonard Rifas United States
Marta Scatena United States
Anthony M. Reginato United States
Yongbo Lu United States
Victoria Shalhoub United States
Amjad Javed United States
Tatsuya Kobayashi United States
Su‐Li Cheng relative to Ann E. Canfield United Kingdom Ann E. Canfield's profile →
Citations per field
00.5×1.5×2.4×
Ann E. Canfield · 1×
Citations per year

Countries citing papers authored by Su‐Li Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Su‐Li Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Su‐Li Cheng, 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 Su‐Li Cheng Line = papers co-authored together Su‐Li Cheng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005355
2 2001338
3 2003291
4 2007255
5 1997235
6 1998211
7 2002203
8 2004192
9 2010185
10 2003142
11 1998125
12 2005121
13 2007114
14 2003113
15 201397
16 200191
17 200090
18 199688
19 199186
20 200486

About Su‐Li Cheng

Su‐Li Cheng is a scholar working on Molecular Biology, Oncology, Rheumatology, Genetics and Immunology and Allergy, having authored 56 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (18 papers), Wnt/β-catenin signaling in development and cancer (11 papers), Bone and Dental Protein Studies (8 papers), Bone health and treatments (8 papers), Cell Adhesion Molecules Research (7 papers), TGF-β signaling in diseases (5 papers), Dermatological and Skeletal Disorders (4 papers) and Connective tissue disorders research (4 papers). The work is most often cited by research in Nephrology (749 citations), Orthopedics and Sports Medicine (324 citations), Rheumatology (567 citations), Immunology and Allergy (228 citations) and Molecular Biology (2.2k citations). Su‐Li Cheng has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Dwight A. Towler, Jian-Su Shao, Chung-Fang Lai, Louis V. Avioli, Arleen P. Loewy, Roberto Civitelli, Fernando Lecanda, Abraham Behrmann, Linda R. Halstead and Aurora Fausto. Their work appears in journals such as Journal of Cellular Biochemistry, Journal of Biological Chemistry, Journal of Bone and Mineral Research, Annals of the New York Academy of Sciences and Circulation Research.

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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