Yaoxing Wu

2.5k citations
36 papers · 1.6k · h-index 19

Impact in

Papers in

Yaoxing Wu

32 papers receiving 1.6k citations

Peers

Yaoxing Wu
Comparison fields: 5 of 90
  • Immunology 604
  • Infectious Diseases 492
  • Epidemiology 390
  • Public Health, Environmental and Occupational Health 324
  • Virology 51
Replace Suraj P. Parihar with:
Suraj P. Parihar South Africa
Rachel Ulferts United Kingdom
Mohsin Khan India
Tony T. Wang United States
Xiaoning Si Canada
Luis M. Schang United States
Nicholas A. Malmquist United States
Xianwen Zhang China
Takayuki Hishiki Japan
Marc Aumercier France
Yaoxing Wu relative to Suraj P. Parihar South Africa Suraj P. Parihar's profile →
Citations per field
00.5×3.1×
Suraj P. Parihar · 1×
Citations per year

Countries citing papers authored by Yaoxing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Yaoxing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017182
2 2020181
3 2018176
4 2017173
5 2021118
6 202083
7 201871
8 201663
9 202253
10 202050
11 202050
12 202244
13 202143
14 201942
15 202334
16 202228
17 201727
18 202422
19 202020
20 202216

About Yaoxing Wu

Yaoxing Wu is a scholar working on Molecular Biology, Immunology, Epidemiology, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 36 papers that have together received 1.6k indexed citations. Recurring topics across this work include interferon and immune responses (15 papers), Autophagy in Disease and Therapy (13 papers), Ubiquitin and proteasome pathways (7 papers), Mosquito-borne diseases and control (6 papers), Viral Infections and Vectors (4 papers), Toxoplasma gondii Research Studies (4 papers), Calcium signaling and nucleotide metabolism (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Immunology (604 citations), Infectious Diseases (492 citations), Epidemiology (390 citations), Public Health, Environmental and Occupational Health (324 citations) and Virology (51 citations). Yaoxing Wu has collaborated with scholars based in China and United States. Frequent co-authors include Jun Cui, Shouheng Jin, Weihong Xie, Qingxiang Liu, Ling Ma, Tao Liu, Zhiyao Zhao, Shuai Yang, Shuo Tian and Yi‐Ping Li. Their work appears in journals such as Autophagy, Signal Transduction and Targeted Therapy, Advanced Science, Molecular Cell and Frontiers in Microbiology.

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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