Xiao‐En Xu

1.6k citations
28 papers · 1.3k indexed · h-index 20

Impact in

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

Papers in

    • Cancer-related molecular mechanisms research 7
    • Cancer Genomics and Diagnostics 4
    • Peptidase Inhibition and Analysis 3
    • HER2/EGFR in Cancer Research 3
    • Cancer-related Molecular Pathways 3

Xiao‐En Xu

28 papers receiving 1.2k citations

Peers

Xiao‐En Xu
Comparison fields: 5 of 82
  • Cancer Research 647
  • Oncology 354
  • Molecular Biology 815
  • Pulmonary and Respiratory Medicine 187
  • Immunology 117
Replace Lingtao Jin with:
Lingtao Jin United States
Gang Tu China
Yanwei Shen China
Yu-Mei Feng China
Giulia Bottai Italy
W. H. Tian China
Michelle I. Savage United States
Kideok Jin United States
Weiliang Zhu China
Holger H.H. Erb Germany
Xiao‐En Xu relative to Lingtao Jin United States Lingtao Jin's profile →
Citations per field
00.5×1.5×2.1×
Lingtao Jin · 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-authorship network

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
#Work
1 202314
2 20225
3 202162
4 202141
5 202018
6 202028
7 202070
8 202032
9 201996
10 201671
11 2016157
12 2016175
13 201662
14 201520
15 20145
16 201434
17 201333
18 201215
19 201054
20 2010110

About Xiao‐En Xu

Xiao‐En Xu is a scholar working on Cancer Research, Oncology, Biological Psychiatry, Genetics and Molecular Biology, having authored 28 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA modifications and cancer (6 papers), Cancer Genomics and Diagnostics (4 papers), RNA Research and Splicing (4 papers), Advanced Proteomics Techniques and Applications (3 papers), Peptidase Inhibition and Analysis (3 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (647 citations), Oncology (354 citations), Molecular Biology (815 citations), Pulmonary and Respiratory Medicine (187 citations) and Immunology (117 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, Xin Hu, Yi‐Zhou Jiang and Xin Hu. Their work appears in journals such as Clinical Cancer Research, Theranostics, Tumor Biology, Journal of Proteomics and Journal for ImmunoTherapy of Cancer.

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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