Xiaoman Li
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- NF-κB Signaling Pathways
- Immunology top 10%
- Immune Response and Inflammation
Papers in
-
- DNA Repair Mechanisms 8
- RNA Research and Splicing 3
- Epidemiology 13
- Ophthalmology and Visual Impairment Studies 6
- Influenza Virus Research Studies 3
- Co-authors
- Liu Cao (8 shared papers)Enhua Wang (4 shared papers)Liang Wang (4 shared papers)Changjing Wu (1 shared paper)Allen Yen (1 shared paper)Jiangning Song (3 shared papers)Harry Björkbacka (1 shared paper)Katherine A. Fitzgerald (1 shared paper)
- Journals
- International Journal of Biological Sciences (5 papers)Molecular Cell (2 papers)PLoS ONE (2 papers)DNA and Cell Biology (2 papers)Oncotarget (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoman Li
68 papers receiving 1.7k citations
Xiaoman Li's Hit Papers
Peers
Comparison fields: 5 of 139
- Cancer Research 270
- Immunology 305
- Endocrinology 76
- Genetics 123
- Geriatrics and Gerontology 39
Countries citing papers authored by Xiaoman Li
This map shows the geographic impact of Xiaoman 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 Xiaoman Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoman Li more than expected).
Fields of papers citing papers by Xiaoman Li
This network shows the impact of papers produced by Xiaoman 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 Xiaoman Li. The network helps show where Xiaoman Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoman 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | PI3K/Akt/mTOR signaling pathway and targeted therapy for glioblastoma Hit paper breakdown → | 2016 | 444 |
| 2 | 2004 | 244 | |
| 3 | 2005 | 85 | |
| 4 | 2012 | 73 | |
| 5 | 2019 | 63 | |
| 6 | 2012 | 54 | |
| 7 | 2019 | 51 | |
| 8 | 2012 | 47 | |
| 9 | 2014 | 37 | |
| 10 | 2020 | 34 | |
| 11 | 2014 | 30 | |
| 12 | 2019 | 28 | |
| 13 | 2010 | 27 | |
| 14 | 2005 | 25 | |
| 15 | 2015 | 24 | |
| 16 | 2019 | 23 | |
| 17 | 2007 | 21 | |
| 18 | 2016 | 20 | |
| 19 | 2018 | 18 | |
| 20 | 2012 | 18 |
About Xiaoman Li
Xiaoman Li is a scholar working on Molecular Biology, Epidemiology, Oncology, Immunology and Physiology, having authored 72 papers that have together received 1.7k indexed citations. Recurring topics across this work include DNA Repair Mechanisms (8 papers), Ophthalmology and Visual Impairment Studies (6 papers), Immune Response and Inflammation (5 papers), RNA Research and Splicing (3 papers), Cancer-related Molecular Pathways (3 papers), Influenza Virus Research Studies (3 papers), PARP inhibition in cancer therapy (3 papers) and Mosquito-borne diseases and control (3 papers). The work is most often cited by research in Cancer Research (270 citations), Immunology (305 citations), Endocrinology (76 citations), Genetics (123 citations) and Geriatrics and Gerontology (39 citations). Xiaoman Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Liu Cao, Enhua Wang, Liang Wang, Changjing Wu, Allen Yen, Jiangning Song, Harry Björkbacka, Katherine A. Fitzgerald, François Huet and James A. Gregory. Their work appears in journals such as International Journal of Biological Sciences, Molecular Cell, PLoS ONE, DNA and Cell Biology and Oncotarget.
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.