Ming-Dao Sun
- Geophysics top 2%
- Geological and Geochemical Analysis 19
- earthquake and tectonic studies 11
- High-pressure geophysics and materials 10
- Geology top 5%
- Geological and Geophysical Studies 5
- Geochemistry and Petrology top 5%
- Artificial Intelligence top 5%
- Geochemistry and Geologic Mapping 7
- Paleontology top 10%
- Paleontology and Stratigraphy of Fossils 4
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- Geology and Paleoclimatology Research 2
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- Geochemistry and Geochronology of Asian Mineral Deposits 1
- Co-authors
- Hanlin ChenYi‐Gang XuSimon A. WildeShufeng YangXiaoping XiaFu‐Yuan WuFengqi ZhangJ. Zhang
- Journals
- Tectonophysics (3 papers)American Journal of Science (3 papers)Journal of Asian Earth Sciences (2 papers)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Ming-Dao Sun
19 papers receiving 997 citations
Peers
Comparison fields: 5 of 33
- Geophysics 989
- Geology 142
- Geochemistry and Petrology 107
- Artificial Intelligence 448
- Paleontology 51
Countries citing papers authored by Ming-Dao Sun
This map shows the geographic impact of Ming-Dao Sun'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-Dao Sun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Dao Sun more than expected).
Fields of papers citing papers by Ming-Dao Sun
This network shows the impact of papers produced by Ming-Dao Sun. 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-Dao Sun. The network helps show where Ming-Dao Sun may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ming-Dao Sun, 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 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 12 | |
| 4 | 2022 | 1 | |
| 5 | 2018 | 13 | |
| 6 | 2018 | 45 | |
| 7 | 2017 | 15 | |
| 8 | 2015 | 12 | |
| 9 | 2015 | 59 | |
| 10 | 2015 | 31 | |
| 11 | 2015 | 124 | |
| 12 | 2014 | 12 | |
| 13 | 2014 | 97 | |
| 14 | 2012 | 48 | |
| 15 | 2012 | 74 | |
| 16 | 2012 | 57 | |
| 17 | 2010 | 121 | |
| 18 | The Kanasi potassic magnesian-rich dacites, Altai, northwestern Chinese: Metasomatism by the melts of subducted sediments | 2010 | 1 |
| 19 | 2008 | 182 | |
| 20 | SHRIMP zircon geochronology of the Emeishan Large Igneous Province (SW China): implications for double mass extinctions in Late Permian | 2001 | 3 |
About Ming-Dao Sun
Ming-Dao Sun is a scholar working on Geophysics, Geology and Paleontology, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Geological and Geochemical Analysis (19 papers), earthquake and tectonic studies (11 papers), High-pressure geophysics and materials (10 papers), Geochemistry and Geologic Mapping (7 papers), Geological and Geophysical Studies (5 papers), Paleontology and Stratigraphy of Fossils (4 papers), Geology and Paleoclimatology Research (2 papers) and Geochemistry and Geochronology of Asian Mineral Deposits (1 paper). The work is most often cited by research in Geophysics (989 citations), Geology (142 citations) and Geochemistry and Petrology (107 citations). Ming-Dao Sun has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Hanlin Chen, Yi‐Gang Xu, Simon A. Wilde, Shufeng Yang, Xiaoping Xia, Fu‐Yuan Wu, Fengqi Zhang, J. Zhang, Guochun Zhao and Yong He. Their work appears in journals such as Tectonophysics, American Journal of Science, Journal of Asian Earth Sciences, Tectonics and Science China Earth Sciences.
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.