Ming‐Chih Chang
Impact in
- Genetics top 10%
- Myeloproliferative Neoplasms: Diagnosis and Treatment
- Glioma Diagnosis and Treatment
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
Papers in
- Hematology 17
- Acute Myeloid Leukemia Research 7
- Chronic Myeloid Leukemia Treatments 7
- Genetics 16
- Myeloproliferative Neoplasms: Diagnosis and Treatment 10
- Chronic Lymphocytic Leukemia Research 3
- Co-authors
- Ruey-Kuen HsiehMing‐Fu ChiangKen‐Hong LimYi‐Fang ChangChang‐Fang ChiuTsai‐Yun ChenJohnson LinJih‐Luh Tang
- Journals
- Blood (6 papers)Journal of Clinical Anesthesia (2 papers)Oncotarget (2 papers)Nutrients (1 paper)Japanese Journal of Applied Physics (1 paper)
- Partner nations
- TaiwanSingaporeSwitzerland
In The Last Decade
Ming‐Chih Chang
28 papers receiving 364 citations
Peers
Comparison fields: 5 of 58
- Genetics 147
- Hematology 151
- Oncology 91
- Immunology 57
- Dermatology 23
Countries citing papers authored by Ming‐Chih Chang
This map shows the geographic impact of Ming‐Chih Chang'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‐Chih Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Chih Chang more than expected).
Fields of papers citing papers by Ming‐Chih Chang
This network shows the impact of papers produced by Ming‐Chih Chang. 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‐Chih Chang. The network helps show where Ming‐Chih Chang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming‐Chih Chang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2024 | 3 | |
| 3 | 2022 | 10 | |
| 4 | 2022 | 0 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 35 | |
| 7 | 2018 | 0 | |
| 8 | 2017 | 29 | |
| 9 | 2017 | 9 | |
| 10 | 2015 | 1 | |
| 11 | 2014 | 6 | |
| 12 | 2014 | 16 | |
| 13 | 2012 | 6 | |
| 14 | 2012 | 3 | |
| 15 | 2009 | 5 | |
| 16 | 2008 | 12 | |
| 17 | 2007 | 69 | |
| 18 | 2006 | 10 | |
| 19 | 2005 | 59 | |
| 20 | 2004 | 23 |
About Ming‐Chih Chang
Ming‐Chih Chang is a scholar working on Hematology, Genetics, Anesthesiology and Pain Medicine, Rheumatology and Pathology and Forensic Medicine, having authored 31 papers that have together received 373 indexed citations. Recurring topics across this work include Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Acute Myeloid Leukemia Research (7 papers), Chronic Myeloid Leukemia Treatments (7 papers), Eosinophilic Disorders and Syndromes (5 papers), Viral-associated cancers and disorders (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Kruppel-like factors research (4 papers) and Chronic Lymphocytic Leukemia Research (3 papers). The work is most often cited by research in Genetics (147 citations), Hematology (151 citations), Oncology (91 citations), Immunology (57 citations) and Dermatology (23 citations). Ming‐Chih Chang has collaborated with scholars based in Taiwan, Singapore and Switzerland. Frequent co-authors include Ruey-Kuen Hsieh, Ming‐Fu Chiang, Ken‐Hong Lim, Yi‐Fang Chang, Chang‐Fang Chiu, Tsai‐Yun Chen, Johnson Lin, Jih‐Luh Tang, Hsin‐Tsung Ho and Tsu‐Yi Chao. Their work appears in journals such as Blood, Journal of Clinical Anesthesia, Oncotarget, Nutrients and Japanese Journal of Applied Physics.
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.