Mengli Wu

630 citations
29 papers · 389 · h-index 12

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Mast cells and histamine
    • Aquaculture disease management and microbiota

Papers in

Mengli Wu

28 papers receiving 384 citations

Peers

Mengli Wu
Comparison fields: 5 of 98
  • Infectious Diseases 81
  • Immunology 86
  • Neurology 41
  • Cancer Research 40
  • Aquatic Science 16
Replace Xiaocheng Li with:
Xiaocheng Li China
Teruhisa Takagishi Japan
Zhen Zhu China
Rajiv Rana Germany
Matthias Hecht Germany
Takashi Takano Japan
Anssi Lipponen Finland
Kazunari Tanigawa Japan
Masato Tsuda Japan
Mark Dalman United States
Mengli Wu relative to Xiaocheng Li China Xiaocheng Li's profile →
Citations per field
00.5×5.3×
Xiaocheng Li · 1×
Citations per year

Countries citing papers authored by Mengli Wu

Since Specialization
Citations

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

Fields of papers citing papers by Mengli Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202162
2 201855
3 202044
4 201730
5 202026
6 201824
7 202021
8 202217
9 202314
10 202313
11 202112
12 202212
13 201611
14 20247
15 20227
16 20206
17 20234
18 20234
19 20224
20 20254

About Mengli Wu

Mengli Wu is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Neurology and Ecology, Evolution, Behavior and Systematics, having authored 29 papers that have together received 389 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (4 papers), Animal Disease Management and Epidemiology (4 papers), Mast cells and histamine (3 papers), Long-Term Effects of COVID-19 (2 papers), Animal Virus Infections Studies (2 papers), Viral Infections and Immunology Research (2 papers), Viral Infections and Vectors (2 papers) and Vector-Borne Animal Diseases (2 papers). The work is most often cited by research in Infectious Diseases (81 citations), Immunology (86 citations), Neurology (41 citations), Cancer Research (40 citations) and Aquatic Science (16 citations). Mengli Wu has collaborated with scholars based in China, Hong Kong and Nigeria. Frequent co-authors include Yuanyuan Li, Junguo Ma, Jian‐Hua Wang, Can Zhang, Xiaoyu Li, Xiaoyu Li, Weiguo Li, Gang Zhao, Yajun Shi and Yun Zhang. Their work appears in journals such as Neurochemical Research, International Journal of Infectious Diseases, Plant Molecular Biology Reporter, Frontiers in Cellular and Infection Microbiology and Veterinary Microbiology.

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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