Cho‐Han Chiang
Impact in
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research
Papers in
- Oncology 24
- Cancer Immunotherapy and Biomarkers 12
- Peptidase Inhibition and Analysis 4
- Pancreatic and Hepatic Oncology Research 4
-
- Metabolism, Diabetes, and Cancer 6
- Co-authors
- Hanna S. Yuan (1 shared paper)P.H. Kuo (1 shared paper)L.G. Doudeva (1 shared paper)Cho‐Hung Chiang (28 shared papers)Kevin Sheng‐Kai (9 shared papers)Chun-Yu Peng (13 shared papers)Cheng‐Ming Peng (15 shared papers)Tomas G. Neilan (6 shared papers)
- Journals
- Journal of Clinical Oncology (6 papers)Oncology (3 papers)Heart (3 papers)Journal of Virology (3 papers)European Journal of Cancer (2 papers)
- Partner nations
- TaiwanUnited StatesUnited Kingdom
In The Last Decade
Cho‐Han Chiang
50 papers receiving 479 citations
Peers
Comparison fields: 5 of 80
- Neurology 99
- Applied Microbiology and Biotechnology 12
- Genetics 58
- Endocrinology, Diabetes and Metabolism 68
- Oncology 97
Countries citing papers authored by Cho‐Han Chiang
This map shows the geographic impact of Cho‐Han Chiang'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 Cho‐Han Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cho‐Han Chiang more than expected).
Fields of papers citing papers by Cho‐Han Chiang
This network shows the impact of papers produced by Cho‐Han Chiang. 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 Cho‐Han Chiang. The network helps show where Cho‐Han Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Cho‐Han Chiang, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 140 | |
| 2 | 2022 | 40 | |
| 3 | 2018 | 34 | |
| 4 | 2020 | 30 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 18 | |
| 7 | 2024 | 16 | |
| 8 | 2023 | 15 | |
| 9 | 2020 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2020 | 8 | |
| 14 | 2025 | 8 | |
| 15 | 2021 | 8 | |
| 16 | 2024 | 7 | |
| 17 | 2023 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2024 | 6 | |
| 20 | 2022 | 6 |
About Cho‐Han Chiang
Cho‐Han Chiang is a scholar working on Oncology, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Surgery, having authored 60 papers that have together received 483 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (12 papers), Diabetes Treatment and Management (11 papers), Metabolism, Diabetes, and Cancer (6 papers), Neuroendocrine Tumor Research Advances (6 papers), Venous Thromboembolism Diagnosis and Management (4 papers), Mast cells and histamine (4 papers), Peptidase Inhibition and Analysis (4 papers) and Pancreatic and Hepatic Oncology Research (4 papers). The work is most often cited by research in Neurology (99 citations), Applied Microbiology and Biotechnology (12 citations), Genetics (58 citations), Endocrinology, Diabetes and Metabolism (68 citations) and Oncology (97 citations). Cho‐Han Chiang has collaborated with scholars based in Taiwan, United States and United Kingdom. Frequent co-authors include Hanna S. Yuan, P.H. Kuo, L.G. Doudeva, Cho‐Hung Chiang, Kevin Sheng‐Kai, Chun-Yu Peng, Cheng‐Ming Peng, Tomas G. Neilan, Li‐Tzu Wang and Her‐Shyong Shiah. Their work appears in journals such as Journal of Clinical Oncology, Oncology, Heart, Journal of Virology and European Journal of Cancer.
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.