Xiao‐Nan Li
Impact in
- Genetics top 1%
- Glioma Diagnosis and Treatment
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Epigenetics and DNA Methylation 12
- Histone Deacetylase Inhibitors Research 7
- Genetics 42
- Glioma Diagnosis and Treatment 40
- Virus-based gene therapy research 7
- Co-authors
- Susan M. Blaney (12 shared papers)Ching C. Lau (9 shared papers)Ying H. Shen (4 shared papers)László Perlaky (11 shared papers)Qin Shu (4 shared papers)Jun Song (2 shared papers)Li Chen (2 shared papers)Patricia Baxter (21 shared papers)
- Journals
- Neuro-Oncology (11 papers)Cancer Research (11 papers)Clinical Cancer Research (5 papers)Drug Metabolism and Disposition (4 papers)Oncotarget (4 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
Xiao‐Nan Li
165 papers receiving 3.9k citations
Peers
Comparison fields: 5 of 153
- Genetics 726
- Cancer Research 523
- Oncology 728
- Molecular Biology 1.9k
- Developmental Neuroscience 61
Countries citing papers authored by Xiao‐Nan Li
This map shows the geographic impact of Xiao‐Nan 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 Xiao‐Nan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐Nan Li more than expected).
Fields of papers citing papers by Xiao‐Nan Li
This network shows the impact of papers produced by Xiao‐Nan 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 Xiao‐Nan Li. The network helps show where Xiao‐Nan Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao‐Nan 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 209 | |
| 2 | 2010 | 178 | |
| 3 | 2005 | 168 | |
| 4 | 2008 | 120 | |
| 5 | 2012 | 117 | |
| 6 | 2008 | 115 | |
| 7 | 2012 | 115 | |
| 8 | 2014 | 106 | |
| 9 | 2009 | 104 | |
| 10 | 2020 | 96 | |
| 11 | 2010 | 91 | |
| 12 | 2012 | 83 | |
| 13 | 2003 | 80 | |
| 14 | 2013 | 73 | |
| 15 | 2020 | 71 | |
| 16 | 2015 | 70 | |
| 17 | 2008 | 66 | |
| 18 | 2016 | 64 | |
| 19 | 2015 | 63 | |
| 20 | 2014 | 59 |
About Xiao‐Nan Li
Xiao‐Nan Li is a scholar working on Molecular Biology, Genetics, Oncology, Cancer Research and Genetics, having authored 178 papers that have together received 3.9k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (40 papers), Epigenetics and DNA Methylation (12 papers), Neuroblastoma Research and Treatments (8 papers), Cancer Cells and Metastasis (7 papers), Virus-based gene therapy research (7 papers), Histone Deacetylase Inhibitors Research (7 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Pharmacogenetics and Drug Metabolism (7 papers). The work is most often cited by research in Genetics (726 citations), Cancer Research (523 citations), Oncology (728 citations), Molecular Biology (1.9k citations) and Developmental Neuroscience (61 citations). Xiao‐Nan Li has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Susan M. Blaney, Ching C. Lau, Ying H. Shen, László Perlaky, Qin Shu, Jun Song, Li Chen, Patricia Baxter, Joseph S. Coselli and Scott A. LeMaire. Their work appears in journals such as Neuro-Oncology, Cancer Research, Clinical Cancer Research, Drug Metabolism and Disposition 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.