Hua-Fen Chen

796 citations
27 papers · 623 · h-index 11

Impact in

Papers in

Hua-Fen Chen

26 papers receiving 610 citations

Peers

Hua-Fen Chen
Comparison fields: 5 of 89
  • Endocrinology, Diabetes and Metabolism 270
  • Hepatology 82
  • Neurology 118
  • Epidemiology 178
  • Occupational Therapy 15
Replace Rumi Fujikawa with:
Rumi Fujikawa Japan
Sung Dae Moon South Korea
Ming‐Fong Chen Taiwan
Demet Çorapçıoğlu Türkiye
Diaa Shehab Kuwait
Yang Ho Kang South Korea
Tomás Martín Hernández Spain
Yiting Xu China
Noriyuki Kitagawa Japan
Marı́a José de la Vega-Prieto Spain
Hua-Fen Chen relative to Rumi Fujikawa Japan Rumi Fujikawa's profile →
Citations per field
00.5×8.2×
Rumi Fujikawa · 1×
Citations per year

Countries citing papers authored by Hua-Fen Chen

Since Specialization
Citations

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

Fields of papers citing papers by Hua-Fen Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hua-Fen 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 Hua-Fen Chen. The network helps show where Hua-Fen Chen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012162
2 200688
3 201079
4 200667
5 201038
6 201135
7 201032
8 201420
9 201520
10 200618
11 200918
12 20237
13
Severely sustained vomiting as the main symptom in a man with thyrotoxicosis.
20037
14 20245
15 20244
16 20224
17
Chronic glue sniffing with transient central hypothyroidism and hypergonadotropism.
20034
18 20224
19 20243
20 20232

About Hua-Fen Chen

Hua-Fen Chen is a scholar working on Endocrinology, Diabetes and Metabolism, Epidemiology, Surgery, Cardiology and Cardiovascular Medicine and Genetics, having authored 27 papers that have together received 623 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (9 papers), Diabetes Management and Research (8 papers), Diabetes Treatment and Management (8 papers), Liver Disease Diagnosis and Treatment (4 papers), Diabetes and associated disorders (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Diet, Metabolism, and Disease (2 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (270 citations), Hepatology (82 citations), Neurology (118 citations), Epidemiology (178 citations) and Occupational Therapy (15 citations). Hua-Fen Chen has collaborated with scholars based in Taiwan, United States and Indonesia. Frequent co-authors include Chung‐Yi Li, Ya‐Hui Chang, Yu Sun, Huifang Su, Hsinyu Lee, Peter Chen, Peter Chen, Chih‐Yuan Wang, Chih‐Ching Liu and Ju‐Ying Jiang. Their work appears in journals such as Medicine, Diabetes Care, PLoS ONE, PeerJ and The Annals of Family Medicine.

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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