Ming‐Fu Chiang
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 5%
- Mesenchymal stem cell research
- Genetics and Neurodevelopmental Disorders
Papers in
-
- Mitochondrial Function and Pathology 4
- Ubiquitin and proteasome pathways 3
- RNA regulation and disease 3
- Genetics 11
- Genetics and Neurodevelopmental Disorders 9
- Co-authors
- Hung Li (8 shared papers)Woei‐Cherng Shyu (7 shared papers)Shinn‐Zong Lin (6 shared papers)Ching‐Yuan Su (3 shared papers)Dah‐Ching Ding (2 shared papers)Peterus Thajeb (5 shared papers)Hsiao-Jung Wang (1 shared paper)Nan‐Shan Chang (9 shared papers)
- Journals
- Cells (3 papers)Frontiers in Oncology (2 papers)Gene (2 papers)Journal of Neuroscience (2 papers)Cancers (2 papers)
- Partner nations
- TaiwanUnited StatesRussia
In The Last Decade
Ming‐Fu Chiang
38 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 103
- Developmental Neuroscience 120
- Genetics 286
- Neurology 174
- Cellular and Molecular Neuroscience 184
- Molecular Biology 609
Countries citing papers authored by Ming‐Fu Chiang
This map shows the geographic impact of Ming‐Fu 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 Ming‐Fu Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming‐Fu Chiang more than expected).
Fields of papers citing papers by Ming‐Fu Chiang
This network shows the impact of papers produced by Ming‐Fu 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 Ming‐Fu Chiang. The network helps show where Ming‐Fu Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming‐Fu 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 190 | |
| 2 | 2006 | 149 | |
| 3 | 2008 | 126 | |
| 4 | 2005 | 103 | |
| 5 | 2003 | 69 | |
| 6 | 2008 | 68 | |
| 7 | 2004 | 65 | |
| 8 | 2005 | 60 | |
| 9 | 2006 | 58 | |
| 10 | 2019 | 56 | |
| 11 | 2005 | 37 | |
| 12 | 2004 | 37 | |
| 13 | 2007 | 36 | |
| 14 | 2018 | 33 | |
| 15 | 2013 | 27 | |
| 16 | 2016 | 27 | |
| 17 | 2017 | 23 | |
| 18 | 2011 | 22 | |
| 19 | 2020 | 21 | |
| 20 | 2011 | 20 |
About Ming‐Fu Chiang
Ming‐Fu Chiang is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Oncology and Neurology, having authored 39 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (9 papers), Mitochondrial Function and Pathology (4 papers), Ubiquitin and proteasome pathways (3 papers), Moyamoya disease diagnosis and treatment (3 papers), Nuclear Receptors and Signaling (3 papers), Lysosomal Storage Disorders Research (3 papers), RNA regulation and disease (3 papers) and Metabolism and Genetic Disorders (3 papers). The work is most often cited by research in Developmental Neuroscience (120 citations), Genetics (286 citations), Neurology (174 citations), Cellular and Molecular Neuroscience (184 citations) and Molecular Biology (609 citations). Ming‐Fu Chiang has collaborated with scholars based in Taiwan, United States and Russia. Frequent co-authors include Hung Li, Woei‐Cherng Shyu, Shinn‐Zong Lin, Ching‐Yuan Su, Dah‐Ching Ding, Peterus Thajeb, Hsiao-Jung Wang, Nan‐Shan Chang, Chun‐I Sze and Sue‐Hong Wang. Their work appears in journals such as Cells, Frontiers in Oncology, Gene, Journal of Neuroscience and Cancers.
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.