Kai‐Ming Chang
Impact in
- Neurology top 5%
- Amyotrophic Lateral Sclerosis Research
- Parkinson's Disease Mechanisms and Treatments
- Microbiology top 5%
- Microbial infections and disease research
Papers in
- Neurology 15
- Amyotrophic Lateral Sclerosis Research 15
- Parkinson's Disease Mechanisms and Treatments 13
- Co-authors
- Kuo-Jang KaoHui‐Chi HsuAndrew T. HuangPeter BedeOrla HardimanGwan‐Han ShenEoin FineganStacey Li Hi Shing
- Journals
- Journal of Neurology (3 papers)Journal of the Neurological Sciences (3 papers)IEEE Journal of Biomedical and Health Informatics (2 papers)BMC Cancer (2 papers)Travel Medicine and Infectious Disease (1 paper)
- Partner nations
- TaiwanUnited KingdomIreland
In The Last Decade
Kai‐Ming Chang
53 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 129
- Neurology 351
- Microbiology 92
- Endocrinology 67
- Molecular Medicine 60
- Cancer Research 170
Countries citing papers authored by Kai‐Ming Chang
This map shows the geographic impact of Kai‐Ming 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 Kai‐Ming Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐Ming Chang more than expected).
Fields of papers citing papers by Kai‐Ming Chang
This network shows the impact of papers produced by Kai‐Ming 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 Kai‐Ming Chang. The network helps show where Kai‐Ming Chang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kai‐Ming 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 | 14 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 1 | |
| 5 | 2022 | 21 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 80 | |
| 8 | 2021 | 41 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 3 | |
| 11 | 2020 | 12 | |
| 12 | 2020 | 20 | |
| 13 | 2020 | 62 | |
| 14 | 2019 | 1 | |
| 15 | 2018 | 18 | |
| 16 | 2016 | 2 | |
| 17 | 2013 | 30 | |
| 18 | 2012 | 9 | |
| 19 | Examining inhibition of VEGFR and EGFR signaling in MMTV-neu transgenic mice with well-established tumors: an immunohistochemical and oncogenomic analysis of AZD2171, vandetanib and gefitinib treatment | 2007 | 1 |
| 20 | 2005 | 19 |
About Kai‐Ming Chang
Kai‐Ming Chang is a scholar working on Neurology, Molecular Medicine, Endocrinology, Hepatology and Applied Microbiology and Biotechnology, having authored 54 papers that have together received 1.3k indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (15 papers), Parkinson's Disease Mechanisms and Treatments (13 papers), Obstructive Sleep Apnea Research (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Alzheimer's disease research and treatments (4 papers), Respiratory Support and Mechanisms (3 papers) and Bacteriophages and microbial interactions (3 papers). The work is most often cited by research in Neurology (351 citations), Microbiology (92 citations), Endocrinology (67 citations), Molecular Medicine (60 citations) and Cancer Research (170 citations). Kai‐Ming Chang has collaborated with scholars based in Taiwan, United Kingdom and Ireland. Frequent co-authors include Kuo-Jang Kao, Hui‐Chi Hsu, Andrew T. Huang, Peter Bede, Orla Hardiman, Gwan‐Han Shen, Eoin Finegan, Stacey Li Hi Shing, Frances Wallach and Ilan Berlinrut. Their work appears in journals such as Journal of Neurology, Journal of the Neurological Sciences, IEEE Journal of Biomedical and Health Informatics, BMC Cancer and Travel Medicine and Infectious Disease.
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.