Fang‐Ping Chen

78 papers receiving 1.4k citations

Peers

Fang‐Ping Chen
Comparison fields: 5 of 110
  • Orthopedics and Sports Medicine 297
  • Health Informatics 25
  • Obstetrics and Gynecology 96
  • Reproductive Medicine 86
  • Health, Toxicology and Mutagenesis 77
Replace Baohua Li with:
Baohua Li China
D. Hadjidakis Greece
Lu Liu China
Wan‐Ting Huang Taiwan
Gayle E. Lester United States
Maurizio Guida Italy
Ioannis I. Androulakis Greece
Mark David Smith United Kingdom
Geeta Hampson United Kingdom
Ruixin Li China
Fang‐Ping Chen relative to Baohua Li China Baohua Li's profile →
Citations per field
00.5×5×10×12.5×
Baohua Li · 1×
Citations per year

Countries citing papers authored by Fang‐Ping Chen

Since Specialization
Citations

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

Fields of papers citing papers by Fang‐Ping Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021134
2 201173
3 200763
4 199858
5 201854
6 199753
7 201649
8 201647
9 201342
10 201842
11 202041
12 200639
13 201338
14 202335
15 201831
16 201931
17 199530
18 200730
19 200429
20 200824

About Fang‐Ping Chen

Fang‐Ping Chen is a scholar working on Orthopedics and Sports Medicine, Hematology, Obstetrics and Gynecology, Otorhinolaryngology and Reproductive Medicine, having authored 81 papers that have together received 1.4k indexed citations. Recurring topics across this work include Bone health and osteoporosis research (23 papers), Head and Neck Cancer Studies (4 papers), Effects and risks of endocrine disrupting chemicals (4 papers), Nutrition and Health in Aging (4 papers), Pelvic floor disorders treatments (3 papers), Menopause: Health Impacts and Treatments (3 papers), Platelet Disorders and Treatments (3 papers) and Endometriosis Research and Treatment (3 papers). The work is most often cited by research in Orthopedics and Sports Medicine (297 citations), Health Informatics (25 citations), Obstetrics and Gynecology (96 citations), Reproductive Medicine (86 citations) and Health, Toxicology and Mutagenesis (77 citations). Fang‐Ping Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Tsai‐Sheng Fu, Yu‐Ching Lin, Shuenn‐Dyh Chang, Ting-Shuo Huang, Craig L. Evinger, Ning Lee, An‐Shine Chao, Chi‐Chin Sun, Yung‐Kuei Soong and Sing Kai Lo. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, Osteoporosis International, Biomedical Journal, PLoS ONE and Thrombosis and Haemostasis.

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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