Ming‐Chun Kuo

25 papers receiving 484 citations

Peers

Ming‐Chun Kuo
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 174
  • Endocrine and Autonomic Systems 30
  • Rehabilitation 14
  • Physiology 52
  • Orthopedics and Sports Medicine 17
Replace Mujalin Prasannarong with:
Mujalin Prasannarong Thailand
Semin Melahat Fenkçi Türkiye
Shigehiko Fujiwara Japan
Wael Ghaly Egypt
María González‐Rodríguez Spain
Magdalena Pertyńska−Marczewska Poland
Sabrina Costa Italy
Antonia Priego Spain
Barış Önder Pamuk Türkiye
P. Stávek Czechia
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Citations per field
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Citations per year

Countries citing papers authored by Ming‐Chun Kuo

Since Specialization
Citations

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

Fields of papers citing papers by Ming‐Chun Kuo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming‐Chun Kuo. 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 Ming‐Chun Kuo. The network helps show where Ming‐Chun Kuo may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201468
2 201157
3 200455
4 201548
5 200234
6 201333
7 201228
8
Bone mineral density in women receiving thyroxine suppressive therapy for differentiated thyroid carcinoma.
200426
9 200620
10 202119
11 201418
12 201215
13 201213
14 202012
15 200212
16 202411
17 20139
18 20137
19 20166
20 20235

About Ming‐Chun Kuo

Ming‐Chun Kuo is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Oncology, Physiology and Cancer Research, having authored 30 papers that have together received 511 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (3 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Nutrition and Health in Aging (2 papers), Cancer Genomics and Diagnostics (1 paper), Wound Healing and Treatments (1 paper), Gastrointestinal motility and disorders (1 paper), Gout, Hyperuricemia, Uric Acid (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (174 citations), Endocrine and Autonomic Systems (30 citations), Rehabilitation (14 citations), Physiology (52 citations) and Orthopedics and Sports Medicine (17 citations). Ming‐Chun Kuo has collaborated with scholars based in Taiwan, United States and Portugal. Frequent co-authors include Shih‐Chen Tung, Ching‐Jung Hsieh, Jung‐Fu Chen, Rue‐Tsuan Liu, Pei‐Wen Wang, Ming‐Chia Hsieh, Shun‐Jen Chang, Yu‐Shu Huang, Jen‐Fu Hsu and Christian Guilleminault. Their work appears in journals such as Diabetes Research and Clinical Practice, Clinical Endocrinology, Therapeutic Advances in Medical Oncology, Metabolism and Cancer 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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