Xiao-Feng Le
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Oncology top 5%
- HER2/EGFR in Cancer Research
- Cancer-related Molecular Pathways
Papers in
-
- Retinoids in leukemia and cellular processes 4
- Circular RNAs in diseases 2
- Oncology 9
- Cancer-related Molecular Pathways 7
- HER2/EGFR in Cancer Research 6
- Co-authors
- Robert C. Bast (12 shared papers)Kun-Sang Chang (3 shared papers)Peirong Yang (1 shared paper)Weiqun Mao (5 shared papers)George A. Calin (1 shared paper)Mien‐Chie Hung (2 shared papers)Sadeq Vallian (1 shared paper)François-Xavier Claret (2 shared papers)
- Journals
- Cell Cycle (3 papers)Journal of Biological Chemistry (3 papers)Oncogene (3 papers)Clinical Cancer Research (2 papers)Cancer Research (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Xiao-Feng Le
23 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 84
- Cancer Research 274
- Oncology 462
- Molecular Biology 910
- Hematology 132
- Radiology, Nuclear Medicine and Imaging 155
Countries citing papers authored by Xiao-Feng Le
This map shows the geographic impact of Xiao-Feng Le'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-Feng Le with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Feng Le more than expected).
Fields of papers citing papers by Xiao-Feng Le
This network shows the impact of papers produced by Xiao-Feng Le. 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-Feng Le. The network helps show where Xiao-Feng Le may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao-Feng Le, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 123 | |
| 2 | 2004 | 114 | |
| 3 | 1996 | 113 | |
| 4 | 1998 | 89 | |
| 5 | 2010 | 78 | |
| 6 | 2014 | 70 | |
| 7 | 2011 | 69 | |
| 8 | 2011 | 63 | |
| 9 | 2012 | 55 | |
| 10 | 2017 | 52 | |
| 11 | 2010 | 50 | |
| 12 | 1999 | 50 | |
| 13 | 2003 | 50 | |
| 14 | 2011 | 45 | |
| 15 | 2008 | 45 | |
| 16 | 2001 | 39 | |
| 17 | 2007 | 37 | |
| 18 | 2008 | 37 | |
| 19 | 2014 | 30 | |
| 20 | 2011 | 23 |
About Xiao-Feng Le
Xiao-Feng Le is a scholar working on Molecular Biology, Oncology, Cell Biology, Hematology and Genetics, having authored 23 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), HER2/EGFR in Cancer Research (6 papers), Microtubule and mitosis dynamics (5 papers), Retinoids in leukemia and cellular processes (4 papers), Acute Myeloid Leukemia Research (3 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Circular RNAs in diseases (2 papers). The work is most often cited by research in Cancer Research (274 citations), Oncology (462 citations), Molecular Biology (910 citations), Hematology (132 citations) and Radiology, Nuclear Medicine and Imaging (155 citations). Xiao-Feng Le has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Robert C. Bast, Kun-Sang Chang, Peirong Yang, Weiqun Mao, George A. Calin, Mien‐Chie Hung, Sadeq Vallian, François-Xavier Claret, Ling Tian and Ruth LaPushin. Their work appears in journals such as Cell Cycle, Journal of Biological Chemistry, Oncogene, Clinical Cancer Research and Cancer Research.
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.