Da Man
Impact in
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- Cancer-related molecular mechanisms research
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- Lung Cancer Research Studies
Papers in
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- RNA modifications and cancer 2
- Glycosylation and Glycoproteins Research 1
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Jingjing Wu (1 shared paper)Liebao Han (1 shared paper)Xunzhong Zhang (1 shared paper)Beng Yang (4 shared papers)Junru Chen (2 shared papers)Jiahua Lu (2 shared papers)Rongliang Tong (3 shared papers)Shusen Zheng (2 shared papers)
- Journals
- World Journal of Traditional Chinese Medicine (2 papers)Frontiers in Genetics (1 paper)HortScience (1 paper)Cell Death Discovery (1 paper)Biochemical and Biophysical Research Communications (1 paper)
- Partner nations
- ChinaMadagascarUnited States
In The Last Decade
Da Man
17 papers receiving 459 citations
Peers
Comparison fields: 5 of 78
- Cancer Research 69
- Oncology 90
- Epidemiology 106
- Environmental Chemistry 31
- Neurology 41
Countries citing papers authored by Da Man
This map shows the geographic impact of Da Man'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 Da Man with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Man more than expected).
Fields of papers citing papers by Da Man
This network shows the impact of papers produced by Da Man. 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 Da Man. The network helps show where Da Man may publish in the future.
Co-authors
The 25 scholars most cited alongside Da Man, 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 | 2018 | 118 | |
| 2 | 2011 | 112 | |
| 3 | 2023 | 96 | |
| 4 | 2021 | 61 | |
| 5 | 2022 | 21 | |
| 6 | 2023 | 10 | |
| 7 | 2020 | 9 | |
| 8 | 2021 | 9 | |
| 9 | 2017 | 9 | |
| 10 | 2024 | 5 | |
| 11 | 2020 | 5 | |
| 12 | 2024 | 3 | |
| 13 | 2020 | 3 | |
| 14 | 2019 | 2 | |
| 15 | 2022 | 1 | |
| 16 | 2023 | 1 | |
| 17 | 2023 | 1 | |
| 18 | 2022 | 0 | |
| 19 | 2018 | 0 |
About Da Man
Da Man is a scholar working on Molecular Biology, Cancer Research, Surgery, Pulmonary and Respiratory Medicine and Epidemiology, having authored 19 papers that have together received 466 indexed citations. Recurring topics across this work include RNA modifications and cancer (2 papers), Cancer-related molecular mechanisms research (2 papers), Forensic Anthropology and Bioarchaeology Studies (1 paper), Genetic diversity and population structure (1 paper), Ferroptosis and cancer prognosis (1 paper), Forensic and Genetic Research (1 paper), Galectins and Cancer Biology (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cancer Research (69 citations), Oncology (90 citations), Epidemiology (106 citations), Environmental Chemistry (31 citations) and Neurology (41 citations). Da Man has collaborated with scholars based in China, Madagascar and United States. Frequent co-authors include Jingjing Wu, Liebao Han, Xunzhong Zhang, Beng Yang, Junru Chen, Jiahua Lu, Rongliang Tong, Shusen Zheng, Diyu Chen and Jian Wu. Their work appears in journals such as World Journal of Traditional Chinese Medicine, Frontiers in Genetics, HortScience, Cell Death Discovery and Biochemical and Biophysical Research Communications.
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.