Manyu Ding
Impact in
- Paleontology top 10%
- Archaeology and ancient environmental studies
-
- Pacific and Southeast Asian Studies
Papers in
-
- Forensic Anthropology and Bioarchaeology Studies 4
- Genetics 6
- Forensic and Genetic Research 6
- Yersinia bacterium, plague, ectoparasites research 3
- Genetic diversity and population structure 2
- Race, Genetics, and Society 2
- Co-authors
- Xiaotian Feng (2 shared papers)Feng Liu (2 shared papers)Qiaomei Fu (2 shared papers)Peng Cao (2 shared papers)Ruowei Yang (2 shared papers)Wanjing Ping (2 shared papers)Bo Miao (1 shared paper)Min Zhang (1 shared paper)
- Journals
- Science Advances (2 papers)Proceedings of the Royal Society B Biological Sciences (1 paper)Journal of genetics and genomics (1 paper)Science (1 paper)IEEE Transactions on Network and Service Management (1 paper)
- Partner nations
- ChinaUzbekistanUnited States
In The Last Decade
Manyu Ding
8 papers receiving 429 citations
Manyu Ding's Hit Papers
Peers
Comparison fields: 5 of 61
- Paleontology 103
- Geography, Planning and Development 70
- Archeology 123
- Genetics 287
- Anthropology 61
Countries citing papers authored by Manyu Ding
This map shows the geographic impact of Manyu Ding'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 Manyu Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manyu Ding more than expected).
Fields of papers citing papers by Manyu Ding
This network shows the impact of papers produced by Manyu Ding. 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 Manyu Ding. The network helps show where Manyu Ding may publish in the future.
Co-authors
The 24 scholars most cited alongside Manyu Ding, 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 | Ancient DNA indicates human population shifts and admixture in northern and southern China Hit paper breakdown → | 2020 | 297 |
| 2 | 2023 | 70 | |
| 3 | 2020 | 32 | |
| 4 | 2021 | 31 | |
| 5 | 2021 | 23 | |
| 6 | 2021 | 7 | |
| 7 | 2023 | 3 | |
| 8 | 2024 | 1 |
About Manyu Ding
Manyu Ding is a scholar working on Archeology, Genetics, Information Systems, Paleontology and Computer Vision and Pattern Recognition, having authored 8 papers that have together received 464 indexed citations. Recurring topics across this work include Forensic and Genetic Research (6 papers), Forensic Anthropology and Bioarchaeology Studies (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Blockchain Technology Applications and Security (2 papers), Genetic diversity and population structure (2 papers), Race, Genetics, and Society (2 papers), Privacy-Preserving Technologies in Data (1 paper) and Cloud Data Security Solutions (1 paper). The work is most often cited by research in Paleontology (103 citations), Geography, Planning and Development (70 citations), Archeology (123 citations), Genetics (287 citations) and Anthropology (61 citations). Manyu Ding has collaborated with scholars based in China, Uzbekistan and United States. Frequent co-authors include Xiaotian Feng, Feng Liu, Qiaomei Fu, Peng Cao, Ruowei Yang, Wanjing Ping, Bo Miao, Min Zhang, Yongchun Miao and Qingyan Dai. Their work appears in journals such as Science Advances, Proceedings of the Royal Society B Biological Sciences, Journal of genetics and genomics, Science and IEEE Transactions on Network and Service Management.
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.