Te‐Fu Chan

2.7k citations
89 papers · 2.2k · h-index 26

Impact in

Papers in

    • Pregnancy and preeclampsia studies 7
    • Gestational Diabetes Research and Management 7
    • Adipokines, Inflammation, and Metabolic Diseases 6
    • Cervical Cancer and HPV Research 3

Te‐Fu Chan

88 papers receiving 2.1k citations

Peers

Te‐Fu Chan
Comparison fields: 5 of 136
  • Obstetrics and Gynecology 229
  • Endocrine and Autonomic Systems 111
  • Reproductive Medicine 116
  • Epidemiology 414
  • Endocrinology, Diabetes and Metabolism 157
Replace Luı́s Belo with:
Luı́s Belo Portugal
Massimo D’Armiento Italy
Iona Y. Millwood United Kingdom
Ricardo de Carvalho Cavalli Brazil
Daniel M. Morgan United States
Maria Felicia Faienza Italy
Fangfang Zeng China
Ambrish Mithal India
Manuel Serrano‐Ríos Spain
Te‐Fu Chan relative to Luı́s Belo Portugal Luı́s Belo's profile →
Citations per field
00.5×6.5×
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-authors

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

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 2014107
3 2006105
4 200791
5 201482
6 200480
7 200774
8 200773
9 200363
10
Health promoting lifestyles and related factors in pregnant women.
201063
11 201662
12 200461
13 200756
14 201255
15 200753
16 200947
17 201645
18 200943
19 200340
20 200937

About Te‐Fu Chan

Te‐Fu Chan is a scholar working on Obstetrics and Gynecology, Epidemiology, Molecular Biology, Public Health, Environmental and Occupational Health and Surgery, having authored 89 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (7 papers), Gestational Diabetes Research and Management (7 papers), Adipokines, Inflammation, and Metabolic Diseases (6 papers), Pregnancy and Medication Impact (5 papers), Retinoids in leukemia and cellular processes (4 papers), Diet, Metabolism, and Disease (4 papers), Cervical Cancer and HPV Research (3 papers) and Cancer Cells and Metastasis (3 papers). The work is most often cited by research in Obstetrics and Gynecology (229 citations), Endocrine and Autonomic Systems (111 citations), Reproductive Medicine (116 citations), Epidemiology (414 citations) and Endocrinology, Diabetes and Metabolism (157 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, Shyng‐Shiou F. Yuan, Chich‐Hsiu Hung, Chun‐Ying Lee and Jinu‐Huang Su. Their work appears in journals such as Acta Obstetricia Et Gynecologica Scandinavica, Fertility and Sterility, International Journal of Cancer, Gynecologic and Obstetric Investigation and Cells.

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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