Wen Wen

3.9k citations
41 papers · 1.7k · 2 hit papers · h-index 14

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction

Papers in

Wen Wen

39 papers receiving 1.7k citations

Wen Wen's Hit Papers

Efficacy and safety of three new oral antiviral treatment (molnupiravir, fluvoxamine and Paxlovid) for COVID-19:a meta-analysis 2022 · 281 citations
2810+2+4Years since publication100200300400500

Peers

Wen Wen
Comparison fields: 5 of 118
  • Infectious Diseases 638
  • Immunology 402
  • Neurology 239
  • Hepatology 84
  • Aquatic Science 76
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Wen Wen relative to Evan P. Williams United States Evan P. Williams's profile →
Citations per field
00.5×10×12.7×
Evan P. Williams · 1×
Citations per year

Countries citing papers authored by Wen Wen

Since Specialization
Citations

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

Fields of papers citing papers by Wen Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Immune cell profiling of COVID-19 patients in the recovery stageby single-cell sequencing
Hit paper breakdown →
2020534
2
Efficacy and safety of three new oral antiviral treatment (molnupiravir, fluvoxamine and Paxlovid) for COVID-19:a meta-analysis
Hit paper breakdown →
2022281
3 2016254
4 2020119
5 2017106
6 202071
7 201554
8 201336
9 201928
10 201528
11 202123
12 201323
13 202221
14 201913
15 202111
16 202111
17 202211
18 202210
19 20178
20 20137

About Wen Wen

Wen Wen is a scholar working on Infectious Diseases, Epidemiology, Neurology, Aquatic Science and Immunology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (5 papers), Aquaculture Nutrition and Growth (4 papers), Long-Term Effects of COVID-19 (4 papers), COVID-19 Clinical Research Studies (3 papers), Reproductive biology and impacts on aquatic species (3 papers), Medicinal Plant Pharmacodynamics Research (2 papers), COVID-19 and Mental Health (2 papers) and Intensive Care Unit Cognitive Disorders (2 papers). The work is most often cited by research in Infectious Diseases (638 citations), Immunology (402 citations), Neurology (239 citations), Hepatology (84 citations) and Aquatic Science (76 citations). Wen Wen has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yingfeng Zheng, Hao Tang, Wenru Su, Xiuxing Liu, Yushan Miao, Lihui Xie, Xiuliang Cui, Hongyang Wang, Chuan‐Le Xiao and Mengyun Zhou. Their work appears in journals such as Journal of Infection, Frontiers in Immunology, Cell Discovery, Renal Failure and Frontiers in Oncology.

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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