Te‐Fu Chan

2.4k citations
82 papers · 1.9k indexed · h-index 24

Te‐Fu Chan

82 papers receiving 1.8k citations

Peers

Te‐Fu Chan
Comparison fields: 5 of 145
  • Obstetrics and Gynecology 325
  • Endocrine and Autonomic Systems 155
  • Reproductive Medicine 155
  • Epidemiology 487
  • Endocrinology, Diabetes and Metabolism 208
Replace Luı́s Belo with:
Luı́s Belo Portugal
Theodore M. Brasky United States
Iona Y. Millwood United Kingdom
Kathryn Hart United Kingdom
Arthur Schatzkin United States
Traci Mouw United States
Yide Yang China
Yurii B. Shvetsov United States
Jay H. Fowke United States
Te‐Fu Chan relative to Luı́s Belo Portugal Luı́s Belo's profile →
Citations per field
00.5×
Luı́s Belo · 1×
Citations per year

Countries citing papers authored by Te‐Fu Chan

Since Specialization
Citations

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

Fields of papers citing papers by Te‐Fu Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Te‐Fu Chan. 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 Te‐Fu Chan. The network helps show where Te‐Fu Chan may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20244
3 20214
4 202110
5 201918
6 20185
7 20172
8 201627
9 201661
10 2014107
11 201136
12 20117
13 200947
14 200912
15 200813
16 200716
17 20064
18 200461
19 200412
20 20032

About Te‐Fu Chan

Te‐Fu Chan is a scholar working on Obstetrics and Gynecology, Reproductive Medicine, Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (12 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), Gestational Diabetes Research and Management (11 papers), Ovarian function and disorders (8 papers), Birth, Development, and Health (8 papers), Regulation of Appetite and Obesity (8 papers), Pregnancy and Medication Impact (5 papers) and Retinoids in leukemia and cellular processes (4 papers). The work is most often cited by research in Obstetrics and Gynecology (325 citations), Endocrine and Autonomic Systems (155 citations), Reproductive Medicine (155 citations), Epidemiology (487 citations) and Endocrinology, Diabetes and Metabolism (208 citations). Te‐Fu Chan has collaborated with scholars based in Taiwan, United States and Japan. Frequent co-authors include Chien‐Hung Lee, Eing‐Mei Tsai, Shiang‐Bin Jong, Fan‐Hao Chou, Hsiao‐Ling Huang, Yi‐Ling Chen, Chun‐Ying Lee, Shyng‐Shiou F. Yuan, Jinu‐Huang Su and Sharon Tsai. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, Fertility and Sterility, Gynecologic and Obstetric Investigation, International Journal of Cancer and Scientific Reports.

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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