Kun Liao
Impact in
-
- Lymphoma Diagnosis and Treatment
- Breast Lesions and Carcinomas
- Cancer Research top 10%
- Breast Cancer Treatment Studies
Papers in
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- Thyroid Cancer Diagnosis and Treatment 3
- Growth Hormone and Insulin-like Growth Factors 2
- Surgery 5
- Thyroid and Parathyroid Surgery 3
- Co-authors
- Charles L. Wiseman (1 shared paper)Khosrow Daneshbod (2 shared papers)Hao Jin (4 shared papers)Min Cui (4 shared papers)Juan Rosaí (1 shared paper)Wei Li (1 shared paper)Qingfeng Cheng (2 shared papers)Shumin Yang (2 shared papers)
- Journals
- American Journal of Clinical Pathology (2 papers)Clinical Endocrinology (2 papers)Cancer (2 papers)Advances in Therapy (1 paper)American Journal of Otolaryngology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Kun Liao
18 papers receiving 590 citations
Peers
Comparison fields: 5 of 53
- Pathology and Forensic Medicine 349
- Cancer Research 208
- Genetics 74
- Neurology 91
- Dermatology 41
Countries citing papers authored by Kun Liao
This map shows the geographic impact of Kun Liao'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 Kun Liao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kun Liao more than expected).
Fields of papers citing papers by Kun Liao
This network shows the impact of papers produced by Kun Liao. 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 Kun Liao. The network helps show where Kun Liao may publish in the future.
Co-authors
The 25 scholars most cited alongside Kun Liao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1972 | 362 | |
| 2 | 1972 | 39 | |
| 3 | 2017 | 37 | |
| 4 | 2018 | 33 | |
| 5 | 2018 | 32 | |
| 6 | 1971 | 31 | |
| 7 | 2019 | 28 | |
| 8 | 2018 | 19 | |
| 9 | 2019 | 12 | |
| 10 | 2018 | 12 | |
| 11 | 1973 | 10 | |
| 12 | 2023 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2023 | 2 | |
| 15 | Correlation of visceral fat area and sarcopenia in patient with type 2 diabetes | 2020 | 1 |
| 16 | The Relationship of Red Blood Cell Iron and Serum Iron with Malonate Dia-aldehyde,Superoxide Disimutase and Insulin Resistance in Cerebral Infarction Patients | 2003 | 1 |
| 17 | 2023 | 1 | |
| 18 | 2016 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2026 | 0 |
About Kun Liao
Kun Liao is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Physiology, Epidemiology and Nephrology, having authored 21 papers that have together received 632 indexed citations. Recurring topics across this work include Nutrition and Health in Aging (4 papers), Thyroid Cancer Diagnosis and Treatment (3 papers), Thyroid and Parathyroid Surgery (3 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Chronic Kidney Disease and Diabetes (1 paper), Hepatitis B Virus Studies (1 paper), Circular RNAs in diseases (1 paper) and Brucella: diagnosis, epidemiology, treatment (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (349 citations), Cancer Research (208 citations), Genetics (74 citations), Neurology (91 citations) and Dermatology (41 citations). Kun Liao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Charles L. Wiseman, Khosrow Daneshbod, Hao Jin, Min Cui, Juan Rosaí, Wei Li, Qingfeng Cheng, Shumin Yang, Xuefeng Deng and Jinbo Hu. Their work appears in journals such as American Journal of Clinical Pathology, Clinical Endocrinology, Cancer, Advances in Therapy and American Journal of Otolaryngology.
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.