Jin‐Ran Chen

63 papers receiving 2.8k citations

Peers

Jin‐Ran Chen
Comparison fields: 5 of 107
  • Orthopedics and Sports Medicine 680
  • Oncology 681
  • Pathology and Forensic Medicine 389
  • Molecular Biology 1.3k
  • Endocrinology, Diabetes and Metabolism 289
Replace Ritsuko Masuyama with:
Ritsuko Masuyama Japan
Oxana P. Lazarenko United States
Subhash C. Kukreja United States
H. Michna Germany
Michael L. Blackburn United States
Kay W. Colston United Kingdom
T. Kenney Gray United States
Toshimasa Shinki Japan
Rie Matsushima‐Nishiwaki Japan
Sunil Nagpal United States
Jin‐Ran Chen relative to Ritsuko Masuyama Japan Ritsuko Masuyama's profile →
Citations per field
00.5×1.5×2.1×
Ritsuko Masuyama · 1×
Citations per year

Countries citing papers authored by Jin‐Ran Chen

Since Specialization
Citations

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

Fields of papers citing papers by Jin‐Ran Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin‐Ran Chen. 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 Jin‐Ran Chen. The network helps show where Jin‐Ran Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002299
2 2002272
3 2003223
4 2003208
5 2010113
6 2010100
7 201099
8 201195
9 200589
10 200988
11 200780
12 200867
13 201164
14 200656
15 200755
16 201051
17 201149
18 201341
19 201640
20 201240

About Jin‐Ran Chen

Jin‐Ran Chen is a scholar working on Orthopedics and Sports Medicine, Molecular Biology, Pathology and Forensic Medicine, Oncology and Pediatrics, Perinatology and Child Health, having authored 65 papers that have together received 2.9k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (25 papers), Bone health and osteoporosis research (12 papers), Estrogen and related hormone effects (9 papers), Birth, Development, and Health (9 papers), Phytoestrogen effects and research (8 papers), Bone health and treatments (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Inflammatory mediators and NSAID effects (5 papers). The work is most often cited by research in Orthopedics and Sports Medicine (680 citations), Oncology (681 citations), Pathology and Forensic Medicine (389 citations), Molecular Biology (1.3k citations) and Endocrinology, Diabetes and Metabolism (289 citations). Jin‐Ran Chen has collaborated with scholars based in United States, Poland and Italy. Frequent co-authors include Martin J. J. Ronis, Thomas M. Badger, Oxana P. Lazarenko, Michael L. Blackburn, Kartik Shankar, Teresita Bellido, Stavroula Kousteni, Stavros C. Manolagas, Maria Almeida and Robert L. Jilka. Their work appears in journals such as The FASEB Journal, Journal of Clinical Investigation, Journal of Pharmacology and Experimental Therapeutics, Endocrinology and Journal of Bone and Mineral 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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