Li Wu

1.9k citations
67 papers · 1.4k · h-index 20

Impact in

Papers in

    • Influenza Virus Research Studies 9
    • Respiratory viral infections research 3
    • interferon and immune responses 3

Li Wu

60 papers receiving 1.3k citations

Peers

Li Wu
Comparison fields: 5 of 126
  • Dermatology 132
  • Biotechnology 133
  • Food Science 261
  • Animal Science and Zoology 145
  • Obstetrics and Gynecology 80
Replace Anna De Filippis with:
Anna De Filippis Italy
Xiuying Wang China
Elisabetta Buommino Italy
Chaithanya Chelakkot South Korea
Pimin Gong China
Md. Abul Kalam Azad China
Rosa de Llanos Spain
Milad Mohkam Iran
Mojibur R. Khan India
Chiara Pagliuca Italy
Li Wu relative to Anna De Filippis Italy Anna De Filippis's profile →
Citations per field
00.5×10×13.3×
Anna De Filippis · 1×
Citations per year

Countries citing papers authored by Li Wu

Since Specialization
Citations

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

Fields of papers citing papers by Li Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012142
2 2014102
3 201097
4 201183
5 201176
6 202070
7 202166
8 200957
9 200955
10 201252
11 201551
12 202050
13 201443
14 201442
15 201139
16 202031
17 201424
18 201222
19 201221
20 202020

About Li Wu

Li Wu is a scholar working on Epidemiology, Immunology, Infectious Diseases, Food Science and Molecular Biology, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Influenza Virus Research Studies (9 papers), Cerebrovascular and Carotid Artery Diseases (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Proteins in Food Systems (4 papers), Animal Virus Infections Studies (4 papers), interferon and immune responses (3 papers), Melamine detection and toxicity (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Dermatology (132 citations), Biotechnology (133 citations), Food Science (261 citations), Animal Science and Zoology (145 citations) and Obstetrics and Gynecology (80 citations). Li Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Ruijin Yang, Wei Zhao, Yiqi Zhang, Wenxu Yan, Jinxiong Liu, Pucheng Chen, Na Guo, Hualan Chen, Yongping Jiang and Zhigao Bu. Their work appears in journals such as Viruses, Frontiers in Microbiology, Diabetes Metabolic Syndrome and Obesity, Annals of Palliative Medicine and Molecular Neurobiology.

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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