Ming‐Chun Kuo
- Endocrinology, Diabetes and Metabolism top 10%
- Surgery
- Epidemiology
- Physiology
- Endocrine and Autonomic Systems top 10%
- Co-authors
- Shih‐Chen TungJung‐Fu ChenChing‐Jung HsiehPei‐Wen WangRue‐Tsuan LiuShun‐Jen ChangMing‐Chia HsiehChristian Guilleminault
- Topics
- Bladder and Urothelial Cancer Treatments (4 papers)Thyroid Cancer Diagnosis and Treatment (4 papers)Metabolism, Diabetes, and Cancer (3 papers)
- Cited by
- Endocrinology, Diabetes and MetabolismEndocrine and Autonomic SystemsOrthopedics and Sports Medicine
- Partner nations
- TaiwanUnited StatesAustralia
In The Last Decade
Ming‐Chun Kuo
24 papers receiving 443 citations
Peers
Comparison fields: 5 of 83
- Endocrinology, Diabetes and Metabolism 195
- Surgery 114
- Epidemiology 73
- Physiology 66
- Endocrine and Autonomic Systems 62
Countries citing papers authored by Ming‐Chun Kuo
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
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-authorship network of co-authors of Ming‐Chun Kuo
This figure shows the co-authorship network connecting the top 25 collaborators of Ming‐Chun Kuo. A scholar is included among the top collaborators of Ming‐Chun Kuo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ming‐Chun Kuo. Ming‐Chun Kuo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 10 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 4 | |
| 10 | 12 | |
| 11 | 42 | |
| 12 | 62 | |
| 13 | 28 | |
| 14 | 9 | |
| 15 | 22 | |
| 16 | 15 | |
| 17 | 56 | |
| 18 | 19 | |
| 19 | 52 | |
| 20 | 31 |
About Ming‐Chun Kuo
Ming‐Chun Kuo is a scholar working on Endocrinology, Diabetes and Metabolism, Family Practice and Endocrine and Autonomic Systems, having authored 28 papers that have together received 460 indexed citations. Recurring topics across this work include Bladder and Urothelial Cancer Treatments (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (195 citations), Endocrine and Autonomic Systems (62 citations) and Orthopedics and Sports Medicine (29 citations). Ming‐Chun Kuo has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include Shih‐Chen Tung, Jung‐Fu Chen, Ching‐Jung Hsieh, Pei‐Wen Wang, Rue‐Tsuan Liu, Shun‐Jen Chang, Ming‐Chia Hsieh, Christian Guilleminault, Jen‐Fu Hsu and Yu‐Shu Huang. Their work appears in journals such as PLoS ONE, Medicine and BioMed Research International.
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.