Xiaoduan Li
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 10%
- Immune cells in cancer
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
Papers in
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- Extracellular vesicles in disease 5
- Epigenetics and DNA Methylation 2
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 3
- Co-authors
- Xipeng Wang (10 shared papers)Xinjing Wang (11 shared papers)Yingying Lin (5 shared papers)Jieru Zhou (3 shared papers)Ziliang Wang (6 shared papers)Meiling Tang (4 shared papers)Qinyi Zhu (4 shared papers)Xiaoli Wu (3 shared papers)
In The Last Decade
Xiaoduan Li
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 95
- Cancer Research 594
- Immunology 363
- Molecular Biology 851
- Reproductive Medicine 69
- Oncology 176
Countries citing papers authored by Xiaoduan Li
This map shows the geographic impact of Xiaoduan Li'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 Xiaoduan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoduan Li more than expected).
Fields of papers citing papers by Xiaoduan Li
This network shows the impact of papers produced by Xiaoduan Li. 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 Xiaoduan Li. The network helps show where Xiaoduan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoduan Li, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 327 | |
| 2 | 2018 | 246 | |
| 3 | 2017 | 93 | |
| 4 | 2023 | 71 | |
| 5 | 2020 | 66 | |
| 6 | 2020 | 60 | |
| 7 | 2022 | 59 | |
| 8 | 2020 | 52 | |
| 9 | 2021 | 52 | |
| 10 | 2017 | 47 | |
| 11 | 2021 | 42 | |
| 12 | 2014 | 32 | |
| 13 | 2019 | 30 | |
| 14 | 2021 | 23 | |
| 15 | 2020 | 18 | |
| 16 | 2017 | 17 | |
| 17 | 2014 | 16 | |
| 18 | 2023 | 15 | |
| 19 | 2014 | 12 | |
| 20 | 2025 | 9 |
About Xiaoduan Li
Xiaoduan Li is a scholar working on Molecular Biology, Cancer Research, Immunology, Biomedical Engineering and Control and Systems Engineering, having authored 27 papers that have together received 1.3k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (7 papers), Extracellular vesicles in disease (5 papers), Reproductive System and Pregnancy (4 papers), Immune cells in cancer (4 papers), Cancer-related molecular mechanisms research (3 papers), Immune Cell Function and Interaction (2 papers), Epigenetics and DNA Methylation (2 papers) and Process Optimization and Integration (2 papers). The work is most often cited by research in Cancer Research (594 citations), Immunology (363 citations), Molecular Biology (851 citations), Reproductive Medicine (69 citations) and Oncology (176 citations). Xiaoduan Li has collaborated with scholars based in China, Singapore and Egypt. Frequent co-authors include Xipeng Wang, Xinjing Wang, Yingying Lin, Jieru Zhou, Ziliang Wang, Meiling Tang, Qinyi Zhu, Xiaoli Wu, Xin Chen and Kai Wang. Their work appears in journals such as Cancer Letters, Journal of Experimental & Clinical Cancer Research, Biochemical and Biophysical Research Communications, Zeitschrift für angewandte Mathematik und Physik and Cancer Cell International.
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.