Xiao‐En Xu

1.7k citations
26 papers · 1.4k · h-index 21

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
    • Breast Cancer Treatment Studies
    • Cancer Genomics and Diagnostics
  • Oncology top 10%
    • HER2/EGFR in Cancer Research

Papers in

    • Cancer-related molecular mechanisms research 5
    • Breast Cancer Treatment Studies 2
    • HER2/EGFR in Cancer Research 2
    • Peptidase Inhibition and Analysis 2

Xiao‐En Xu

26 papers receiving 1.3k citations

Peers

Xiao‐En Xu
Comparison fields: 5 of 82
  • Cancer Research 562
  • Oncology 301
  • Molecular Biology 720
  • Immunology 122
  • Pulmonary and Respiratory Medicine 156
Replace Giulia Bottai with:
Giulia Bottai Italy
Yuhui Tang China
Margaret E. Torrence United States
Zhi-Gang Cao China
Megan D. Hoeksema United States
Shahin Assefnia United States
Hugues Ripoche France
Kideok Jin United States
April Davis United States
Xiao‐En Xu relative to Giulia Bottai Italy Giulia Bottai's profile →
Citations per field
00.5×2×3.3×
Giulia Bottai · 1×
Citations per year

Countries citing papers authored by Xiao‐En Xu

Since Specialization
Citations

This map shows the geographic impact of Xiao‐En Xu'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‐En Xu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao‐En Xu more than expected).

Fields of papers citing papers by Xiao‐En Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiao‐En Xu. 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‐En Xu. The network helps show where Xiao‐En Xu may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiao‐En Xu, 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‐En Xu Line = papers co-authored together Xiao‐En Xu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016184
2 2016165
3 2010112
4 2019102
5 201678
6 202077
7 202175
8 201670
9 201058
10 202144
11 201338
12 202037
13 201436
14 201835
15 201534
16 201934
17 201830
18 202028
19 202023
20 201521

About Xiao‐En Xu

Xiao‐En Xu is a scholar working on Cancer Research, Oncology, Molecular Biology, Cell Biology and Genetics, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA modifications and cancer (4 papers), RNA Research and Splicing (3 papers), Microtubule and mitosis dynamics (2 papers), Glioma Diagnosis and Treatment (2 papers), Breast Cancer Treatment Studies (2 papers), HER2/EGFR in Cancer Research (2 papers) and Peptidase Inhibition and Analysis (2 papers). The work is most often cited by research in Cancer Research (562 citations), Oncology (301 citations), Molecular Biology (720 citations), Immunology (122 citations) and Pulmonary and Respiratory Medicine (156 citations). Xiao‐En Xu has collaborated with scholars based in China, United States and India. Frequent co-authors include Xi Jin, Ke‐Da Yu, Yi-Zhou Jiang, Yi‐Rong Liu, Zhi‐Ming Shao, Zhi-Ming Shao, Da‐Qiang Li, Yi‐Zhou Jiang, Xin Hu and Xin Hu. Their work appears in journals such as Theranostics, Cancer Research, Tumor Biology, Clinical Cancer Research and Journal of Proteomics.

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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