Xiaohan Li
Impact in
- Geriatrics and Gerontology top 10%
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
Papers in
-
- RNA modifications and cancer 8
- Cancer-related gene regulation 7
- RNA Research and Splicing 4
- TGF-β signaling in diseases 3
- Circular RNAs in diseases 2
-
- Cancer-related molecular mechanisms research 8
- Cancer, Lipids, and Metabolism 3
- MicroRNA in disease regulation 3
- Co-authors
- Yasuo Takano (5 shared papers)Hiroyuki Takahashi (4 shared papers)Shinji Masuda (4 shared papers)Takuo Hara (1 shared paper)Yifu Guan (1 shared paper)Hua‐chuan Zheng (2 shared papers)Keiji Kikuchi (4 shared papers)Akira Noguchi (4 shared papers)
- Journals
- Cancer Cell International (3 papers)Microscopy and Microanalysis (2 papers)Frontiers in Psychiatry (1 paper)Human Pathology (1 paper)BMC Microbiology (1 paper)
- Partner nations
- ChinaJapanSouth Korea
In The Last Decade
Xiaohan Li
34 papers receiving 493 citations
Peers
Comparison fields: 5 of 91
- Geriatrics and Gerontology 35
- Cell Biology 112
- Cancer Research 98
- Molecular Biology 309
- Oncology 81
Countries citing papers authored by Xiaohan Li
This map shows the geographic impact of Xiaohan 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 Xiaohan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaohan Li more than expected).
Fields of papers citing papers by Xiaohan Li
This network shows the impact of papers produced by Xiaohan 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 Xiaohan Li. The network helps show where Xiaohan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaohan 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 160 | |
| 2 | 2013 | 44 | |
| 3 | 2010 | 39 | |
| 4 | 2021 | 28 | |
| 5 | 2011 | 23 | |
| 6 | 2010 | 22 | |
| 7 | 2016 | 20 | |
| 8 | 2024 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2017 | 13 | |
| 11 | 2014 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2023 | 10 | |
| 14 | 2011 | 10 | |
| 15 | 2020 | 10 | |
| 16 | 2019 | 7 | |
| 17 | 2020 | 6 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2023 | 5 |
About Xiaohan Li
Xiaohan Li is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Cell Biology and Genetics, having authored 37 papers that have together received 497 indexed citations. Recurring topics across this work include RNA modifications and cancer (8 papers), Cancer-related molecular mechanisms research (8 papers), Cancer-related gene regulation (7 papers), RNA Research and Splicing (4 papers), Cancer, Lipids, and Metabolism (3 papers), MicroRNA in disease regulation (3 papers), TGF-β signaling in diseases (3 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Geriatrics and Gerontology (35 citations), Cell Biology (112 citations), Cancer Research (98 citations), Molecular Biology (309 citations) and Oncology (81 citations). Xiaohan Li has collaborated with scholars based in China, Japan and South Korea. Frequent co-authors include Yasuo Takano, Hiroyuki Takahashi, Shinji Masuda, Takuo Hara, Yifu Guan, Hua‐chuan Zheng, Keiji Kikuchi, Akira Noguchi, Takeshi Nishida and Zheng Yang. Their work appears in journals such as Cancer Cell International, Microscopy and Microanalysis, Frontiers in Psychiatry, Human Pathology and BMC Microbiology.
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.