Xia Wu

6.4k citations
140 papers · 3.8k · 1 hit paper · h-index 32

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer-related molecular mechanisms research 7
    • Cancer Immunotherapy and Biomarkers 8
    • Viral-associated cancers and disorders 5

Xia Wu

135 papers receiving 3.7k citations

Xia Wu's Hit Papers

The epidemiology, diagnosis and treatment of COVID-19 2020 · 673 citations
6730+2+4Years since publication200400600

Peers

Xia Wu
Comparison fields: 5 of 171
  • Cancer Research 506
  • Oncology 808
  • Immunology 458
  • Infectious Diseases 390
  • Molecular Biology 1.4k
Replace Jing Xu with:
Jing Xu China
Yuanlin Song China
Huey‐Kang Sytwu Taiwan
Shemin Lu China
W Chen China
Jinying Zhang China
Mengyuan Li China
Cao Hongcui China
Min Hee Yang China
Ashok Kumar Gupta India
Xia Wu relative to Jing Xu China Jing Xu's profile →
Citations per field
00.5×1.5×2.0×
Jing Xu · 1×
Citations per year

Countries citing papers authored by Xia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Xia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The epidemiology, diagnosis and treatment of COVID-19
Hit paper breakdown →
2020673
2 2021227
3 2018123
4 2020121
5 2017118
6 202285
7 202085
8 202081
9 202079
10 202072
11 201770
12 200966
13 201456
14 202152
15 201952
16 201952
17 201749
18 202049
19 200548
20 201947

About Xia Wu

Xia Wu is a scholar working on Cancer Research, Oncology, Molecular Biology, Hematology and Reproductive Medicine, having authored 140 papers that have together received 3.8k indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Inflammasome and immune disorders (8 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (7 papers), Ovarian cancer diagnosis and treatment (6 papers), RNA Interference and Gene Delivery (6 papers) and Viral-associated cancers and disorders (5 papers). The work is most often cited by research in Cancer Research (506 citations), Oncology (808 citations), Immunology (458 citations), Infectious Diseases (390 citations) and Molecular Biology (1.4k citations). Xia Wu has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Qiaohong Wang, Junke Long, Yanbing Ding, Yanjun Zhong, Yiming Li, Wen J. Di, Lifang Yang, Y Gong, Zhuan Zhou and Jinwu Peng. Their work appears in journals such as Scientific Reports, International Immunopharmacology, Medicine, PLoS ONE and Oncology Reports.

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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