Xiao-Feng Le

1.6k citations
23 papers · 1.3k indexed · h-index 21

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways

Papers in

    • Cancer-related Molecular Pathways 7
    • HER2/EGFR in Cancer Research 6
    • Microtubule and mitosis dynamics 5

Xiao-Feng Le

23 papers receiving 1.3k citations

Peers

Xiao-Feng Le
Comparison fields: 5 of 84
  • Cancer Research 274
  • Oncology 462
  • Molecular Biology 910
  • Hematology 132
  • Radiology, Nuclear Medicine and Imaging 155
Replace Hwang‐Phill Kim with:
Hwang‐Phill Kim South Korea
Alexandra Grassian United States
Subbulakshmi Virudachalam United States
Mirjam T. Epping Netherlands
Meei‐Huey Jeng United States
Inge Tinhofer Austria
Yuji Basaki Japan
Kang Jin Jeong United States
Gennaro Colella Italy
Gretchen M. Unger United States
Xiao-Feng Le relative to Hwang‐Phill Kim South Korea Hwang‐Phill Kim's profile →
Citations per field
00.5×5.3×
Hwang‐Phill Kim · 1×
Citations per year

Countries citing papers authored by Xiao-Feng Le

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network

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.

Border = papers with Xiao-Feng Le Line = papers co-authored together Xiao-Feng Le links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 201752
2 201470
3 201430
4 201255
5 201145
6 201163
7 201169
8 201116
9 201123
10 201050
11 200845
12 200737
13 200620
14 2004114
15 2003123
16 200350
17 200139
18 199950
19 1996113
20 199618

About Xiao-Feng Le

Xiao-Feng Le is a scholar working on Oncology, Cell Biology, Hematology, Molecular Biology and Physiology, 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), PI3K/AKT/mTOR signaling in cancer (2 papers) and Protein Kinase Regulation and GTPase Signaling (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 Hong Kong. Frequent co-authors include Robert C. Bast, Kun-Sang Chang, Peirong Yang, Weiqun Mao, Mien‐Chie Hung, George A. Calin, François-Xavier Claret, Sadeq Vallian, Ana M. Tari 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.

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