Yingxia Wen

944 citations
20 papers · 603 · h-index 11

Impact in

  • Microbiology top 10%
    • Bacterial Infections and Vaccines
    • Influenza Virus Research Studies
    • Cytomegalovirus and herpesvirus research
    • Herpesvirus Infections and Treatments

Papers in

    • Influenza Virus Research Studies 10
    • Respiratory viral infections research 8
    • Cytomegalovirus and herpesvirus research 2
    • RNA Research and Splicing 3

Yingxia Wen

20 papers receiving 576 citations

Peers

Yingxia Wen
Comparison fields: 5 of 53
  • Microbiology 50
  • Epidemiology 202
  • Molecular Biology 374
  • Virology 25
  • Infectious Diseases 83
Replace Max Hebditch with:
Max Hebditch United Kingdom
Lisa A. Checkley United States
John W. Loughney United States
Mark Endsley United States
Christophe Bodenreider Singapore
Mrinal Kanti Bhattacharyya India
Ashkan Safavi Iran
Franziska Mohring United Kingdom
Vitul Jain India
Ian T. Foe United States
Yingxia Wen relative to Max Hebditch United Kingdom Max Hebditch's profile →
Citations per field
00.5×11.5×
Max Hebditch · 1×
Citations per year

Countries citing papers authored by Yingxia Wen

Since Specialization
Citations

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

Fields of papers citing papers by Yingxia Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 1999173
2 200875
3 201468
4 199859
5 200857
6 201530
7 200026
8 201523
9 202218
10 202215
11 201810
12 20139
13 20238
14 20208
15 20187
16 20166
17 20255
18 20213
19 20092
20 20121

About Yingxia Wen

Yingxia Wen is a scholar working on Epidemiology, Molecular Biology, Immunology, Infectious Diseases and Spectroscopy, having authored 20 papers that have together received 603 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (10 papers), Respiratory viral infections research (8 papers), Immune Response and Inflammation (4 papers), RNA Research and Splicing (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Immune Cell Function and Interaction (2 papers), Cytomegalovirus and herpesvirus research (2 papers) and Immunotherapy and Immune Responses (2 papers). The work is most often cited by research in Microbiology (50 citations), Epidemiology (202 citations), Molecular Biology (374 citations), Virology (25 citations) and Infectious Diseases (83 citations). Yingxia Wen has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Aaron J. Shatkin, Zhenyu Yue, Giuseppe Palladino, Ethan C. Settembre, Anders Lilja, Peter W. Mason, Annette Ferrari, Yuhong Xie, Jaison Jacob and James E. Monroe. Their work appears in journals such as Vaccine, Genes & Development, Molecular Therapy — Methods & Clinical Development, Biotechnology and Bioengineering and Analytical Chemistry.

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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