Xierong Wei

900 citations
14 papers · 715 · h-index 11

Impact in

  • Virology top 2%
    • HIV Research and Treatment
    • HIV/AIDS drug development and treatment
    • HIV/AIDS Research and Interventions

Papers in

    • HIV/AIDS drug development and treatment 7
    • HIV/AIDS Research and Interventions 3
    • HIV Research and Treatment 6

Xierong Wei

14 papers receiving 703 citations

Peers

Xierong Wei
Comparison fields: 5 of 64
  • Virology 293
  • Infectious Diseases 442
  • Epidemiology 85
  • Molecular Biology 183
  • Genetics 53
Replace Tobias Schulze with:
Tobias Schulze Germany
João I. Mamede United States
Erin Loeliger United States
Pheroze Joshi United States
Isabelle Agostini France
Mandaleshwar K. Singh United States
Adarsh Dharan United States
Serena Ziglio Italy
Felix Feyertag United States
Mariia Novikova United States
Xierong Wei relative to Tobias Schulze Germany Tobias Schulze's profile →
Citations per field
00.5×8.3×
Tobias Schulze · 1×
Citations per year

Countries citing papers authored by Xierong Wei

Since Specialization
Citations

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

Fields of papers citing papers by Xierong Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2008292
2 201086
3 200076
4 200756
5 202044
6 201141
7 200136
8 201924
9 201122
10 201412
11 201010
12 199310
13 20164
14 20242

About Xierong Wei

Xierong Wei is a scholar working on Infectious Diseases, Virology, Molecular Biology, Epidemiology and Hematology, having authored 14 papers that have together received 715 indexed citations. Recurring topics across this work include HIV/AIDS drug development and treatment (7 papers), HIV Research and Treatment (6 papers), HIV/AIDS Research and Interventions (3 papers), Cytomegalovirus and herpesvirus research (1 paper), Ubiquitin and proteasome pathways (1 paper), HIV-related health complications and treatments (1 paper), Biosimilars and Bioanalytical Methods (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Virology (293 citations), Infectious Diseases (442 citations), Epidemiology (85 citations), Molecular Biology (183 citations) and Genetics (53 citations). Xierong Wei has collaborated with scholars based in United States, Uganda and Canada. Frequent co-authors include Walid Heneine, Jeffrey A. Johnson, Jonathan Lipscomb, LI Jin-fen, Diane Bennett, Amanda Smith, Michael Monsour, Charles Craig, David M. Irlbeck and E. Randall Lanier. Their work appears in journals such as PLoS ONE, The Journal of Infectious Diseases, Nature Communications, The EMBO Journal and Mechanisms of Development.

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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