Danlan Wei

1.3k citations
12 papers · 291 · h-index 6

Impact in

  • Virology top 5%
    • HIV Research and Treatment
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology

Papers in

    • HIV Research and Treatment 9
    • Immune Cell Function and Interaction 7
    • T-cell and B-cell Immunology 2
    • Phagocytosis and Immune Regulation 2

Danlan Wei

12 papers receiving 290 citations

Peers

Danlan Wei
Comparison fields: 5 of 53
  • Virology 176
  • Immunology 116
  • Infectious Diseases 68
  • Immunology and Allergy 10
  • Epidemiology 51
Replace François-Xavier Gobert with:
François-Xavier Gobert France
Mark Spear United States
Susanna Trapp Germany
Laura Newman United States
Katija Jelicic United States
Lucie Bracq France
Katja Blume Germany
Berta Bosch Spain
Leonor Huerta Mexico
Nathalie Bosquet France
Danlan Wei relative to François-Xavier Gobert France François-Xavier Gobert's profile →
Citations per field
00.5×1.5×
François-Xavier Gobert · 1×
Citations per year

Countries citing papers authored by Danlan Wei

Since Specialization
Citations

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

Fields of papers citing papers by Danlan Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 201199
2 201380
3 200339
4 201835
5 201817
6 202310
7 20244
8 20233
9 20161
10 20241
11 20231
12 20131

About Danlan Wei

Danlan Wei is a scholar working on Virology, Immunology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 12 papers that have together received 291 indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (2 papers), COVID-19 Clinical Research Studies (2 papers), Phagocytosis and Immune Regulation (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Glycosylation and Glycoproteins Research (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Virology (176 citations), Immunology (116 citations), Infectious Diseases (68 citations), Immunology and Allergy (10 citations) and Epidemiology (51 citations). Danlan Wei has collaborated with scholars based in United States, Thailand and Brazil. Frequent co-authors include James Arthos, Claudia Cicala, Donald Van Ryk, Fatima Nawaz, Anthony S. Fauci, Katija Jelicic, Massimiliano Pascuccio, Joseph Milano, Jonathan P. McNally and Rumi Kondo. Their work appears in journals such as eLife, PLoS Pathogens, Mucosal Immunology, The Journal of Immunology and JAIDS Journal of Acquired Immune Deficiency Syndromes.

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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