Lee‐Ching Hwang

57 papers receiving 1.4k citations

Peers

Lee‐Ching Hwang
Comparison fields: 5 of 111
  • Nephrology 182
  • Endocrinology, Diabetes and Metabolism 251
  • Orthopedics and Sports Medicine 61
  • Epidemiology 208
  • Cardiology and Cardiovascular Medicine 131
Replace Yoko Yachi with:
Yoko Yachi Japan
K.‐T. Khaw United Kingdom
Satoyo Ikehara Japan
Gabriel Cavada Chile
Sylviane Vol France
Joanne B. Krasnoff United States
Carlene Minks Grim United States
Neil T. Raymond United Kingdom
Sochung Chung South Korea
Krishna Margadhamane Gokhale United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Lee‐Ching Hwang

Since Specialization
Citations

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

Fields of papers citing papers by Lee‐Ching Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee‐Ching Hwang. 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 Lee‐Ching Hwang. The network helps show where Lee‐Ching Hwang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006290
2 2010160
3 2011123
4 200884
5 200757
6 201251
7 202147
8 201637
9 201230
10 201829
11 200629
12 201227
13 202125
14 201324
15 202124
16 201823
17 202023
18 201723
19 201922
20 201921

About Lee‐Ching Hwang

Lee‐Ching Hwang is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Physiology, Social Psychology and Orthopedics and Sports Medicine, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers), Smoking Behavior and Cessation (5 papers), Mental Health Treatment and Access (3 papers), Nutrition and Health in Aging (3 papers), Gout, Hyperuricemia, Uric Acid (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Liver Disease Diagnosis and Treatment (3 papers) and Frailty in Older Adults (2 papers). The work is most often cited by research in Nephrology (182 citations), Endocrinology, Diabetes and Metabolism (251 citations), Orthopedics and Sports Medicine (61 citations), Epidemiology (208 citations) and Cardiology and Cardiovascular Medicine (131 citations). Lee‐Ching Hwang has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Chyi‐Huey Bai, Chien‐Jen Chen, Kuo‐Liong Chien, San‐Lin You, Jin-Jin Tjung, Meng-Ting Tsou, Hsin‐Yin Hsu, Chien‐An Sun, Tsan Yang and Chun-Yuan Huang. Their work appears in journals such as International Journal of Environmental Research and Public Health, Diabetes Metabolic Syndrome and Obesity, General Hospital Psychiatry, PLoS ONE and Substance Abuse Treatment Prevention and Policy.

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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