Michael Chiang
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
- Ophthalmology top 5%
- Glaucoma and retinal disorders
- Retinal Diseases and Treatments
Papers in
- Aging 3
- Genetics, Aging, and Longevity in Model Organisms 3
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- Glaucoma and retinal disorders 3
- Co-authors
- Benjamin Yixing Xu (5 shared papers)Anmol A. Pardeshi (5 shared papers)Rohit Varma (4 shared papers)Olivier Cinquin (6 shared papers)Sasan Moghimi (1 shared paper)Amanda Cinquin (4 shared papers)Adrian Paz (4 shared papers)Nabora Soledad Reyes de Mochel (2 shared papers)
- Journals
- American Journal of Ophthalmology (2 papers)British Journal of Ophthalmology (2 papers)BMC Biology (1 paper)Developmental Biology (1 paper)Translational Vision Science & Technology (1 paper)
- Partner nations
- United StatesSingaporeNetherlands
In The Last Decade
Michael Chiang
11 papers receiving 305 citations
Peers
Comparison fields: 5 of 38
- Aging 42
- Ophthalmology 140
- Radiology, Nuclear Medicine and Imaging 102
- Endocrine and Autonomic Systems 20
- Biophysics 11
Countries citing papers authored by Michael Chiang
This map shows the geographic impact of Michael 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 Michael Chiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Chiang more than expected).
Fields of papers citing papers by Michael Chiang
This network shows the impact of papers produced by Michael 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 Michael Chiang. The network helps show where Michael Chiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 97 | |
| 2 | 2020 | 38 | |
| 3 | 2014 | 32 | |
| 4 | 2017 | 28 | |
| 5 | 2021 | 23 | |
| 6 | 2021 | 23 | |
| 7 | 2015 | 18 | |
| 8 | 2016 | 16 | |
| 9 | 2015 | 13 | |
| 10 | 2023 | 10 | |
| 11 | 2015 | 8 | |
| 12 | 2026 | 0 |
About Michael Chiang
Michael Chiang is a scholar working on Aging, Ophthalmology, Endocrine and Autonomic Systems, Molecular Biology and Physiology, having authored 12 papers that have together received 306 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (3 papers), Glaucoma and retinal disorders (3 papers), Pluripotent Stem Cells Research (2 papers), Photosynthetic Processes and Mechanisms (1 paper), Renal and related cancers (1 paper), Spaceflight effects on biology (1 paper), Gene Regulatory Network Analysis (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Aging (42 citations), Ophthalmology (140 citations), Radiology, Nuclear Medicine and Imaging (102 citations), Endocrine and Autonomic Systems (20 citations) and Biophysics (11 citations). Michael Chiang has collaborated with scholars based in United States, Singapore and Netherlands. Frequent co-authors include Benjamin Yixing Xu, Anmol A. Pardeshi, Rohit Varma, Olivier Cinquin, Sasan Moghimi, Amanda Cinquin, Adrian Paz, Nabora Soledad Reyes de Mochel, Qing Hua Nie and Ken W.Y. Cho. Their work appears in journals such as American Journal of Ophthalmology, British Journal of Ophthalmology, BMC Biology, Developmental Biology and Translational Vision Science & Technology.
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.