Xiwei Wu

19.6k citations
211 papers · 9.9k indexed · 1 hit paper · h-index 53
    • MicroRNA in disease regulation 25
    • Cancer-related molecular mechanisms research 25
    • Epigenetics and DNA Methylation 40
    • RNA modifications and cancer 27
    • Cancer-related gene regulation 15
  • Oncology top 1%
    • CAR-T cell therapy research 13
  • Immunology top 2%
    • Immune Cell Function and Interaction 13
  • Genetics top 1%
    • Cutaneous lymphoproliferative disorders research 14

Xiwei Wu

203 papers receiving 9.7k citations

Hit Papers

Cancer-cell-secreted exosomal miR-105 promotes tumour gro...3572018202620202023100200300

Peers

Xiwei Wu
Comparison fields: 5 of 153
  • Cancer Research 2.7k
  • Molecular Biology 7.1k
  • Oncology 1.7k
  • Immunology 1.1k
  • Genetics 1.3k
Replace Paula M. Vertino with:
Paula M. Vertino United States
Andrea Ventura United States
Wen Xue China
Li Ma China
David A. Lomas United Kingdom
Jian Cao United States
Hong‐Wei Sun United States
Xiaojun Liu China
Lawrence W. Stanton Singapore
Keith D. Robertson United States
Xiwei Wu relative to Paula M. Vertino United States Paula M. Vertino's profile →
Citations per field
00.5×2.7×
Paula M. Vertino · 1×
Citations per year

Countries citing papers authored by Xiwei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xiwei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiwei Wu. 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 Xiwei Wu. The network helps show where Xiwei Wu may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20244
3 20230
4 20232
5 2021103
6 2019153
7 201961
8 201874
9 201832
10 201619
11 201560
12 201432
13 201440
14 201437
15 201384
16 2012329
17 201143
18 2010105
19 200889
20 2006223

About Xiwei Wu

Xiwei Wu is a scholar working on Cancer Research, Molecular Biology, Oncology, Immunology and Dermatology, having authored 211 papers that have together received 9.9k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (40 papers), RNA modifications and cancer (27 papers), MicroRNA in disease regulation (25 papers), Cancer-related molecular mechanisms research (25 papers), Cancer-related gene regulation (15 papers), Cutaneous lymphoproliferative disorders research (14 papers), Immune Cell Function and Interaction (13 papers) and CAR-T cell therapy research (13 papers). The work is most often cited by research in Cancer Research (2.7k citations), Molecular Biology (7.1k citations), Oncology (1.7k citations), Immunology (1.1k citations) and Genetics (1.3k citations). Xiwei Wu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Gerd P. Pfeifer, Tibor A. Rauch, Arthur D. Riggs, Arthur X. Li, Xueyan Zhong, Seung‐Gi Jin, Shizhen Emily Wang, Jun Wu, Yate‐Ching Yuan and George Somlo. Their work appears in journals such as Blood, Cancer Research, PLoS ONE, Nature Communications and Nucleic Acids 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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