Fengjiao Wu

1.1k citations
35 papers · 801 · h-index 16

Impact in

Papers in

    • Immune Response and Inflammation 4
    • IL-33, ST2, and ILC Pathways 3
    • Reproductive System and Pregnancy 2
    • Neuroinflammation and Neurodegeneration Mechanisms 4

Fengjiao Wu

33 papers receiving 793 citations

Peers

Fengjiao Wu
Comparison fields: 5 of 111
  • Neurology 137
  • Biological Psychiatry 28
  • Immunology 204
  • Reproductive Medicine 32
  • Cancer Research 50
Replace Matthew J. Kan with:
Matthew J. Kan United States
Konstantina Lyroni Greece
Boubekeur Samah France
Aleš Neuwirth Czechia
Wen Huang China
Stamatia Papoutsopoulou Greece
Yujie Luo China
Sandip Ashok Sonar India
Jiaying Qiu China
Shilian Liu China
Fengjiao Wu relative to Matthew J. Kan United States Matthew J. Kan's profile →
Citations per field
00.5×1.5×
Matthew J. Kan · 1×
Citations per year

Countries citing papers authored by Fengjiao Wu

Since Specialization
Citations

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

Fields of papers citing papers by Fengjiao Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015102
2 201698
3 201867
4 201967
5 201760
6 201545
7 202040
8 202239
9 202028
10 202027
11 202126
12 202124
13 201720
14 202019
15 202219
16 201717
17 202116
18 202214
19 202213
20 202211

About Fengjiao Wu

Fengjiao Wu is a scholar working on Immunology, Neurology, Cancer Research, Molecular Biology and Biomaterials, having authored 35 papers that have together received 801 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Immune Response and Inflammation (4 papers), biodegradable polymer synthesis and properties (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Neonatal Respiratory Health Research (2 papers), Reproductive System and Pregnancy (2 papers), Advanced Polymer Synthesis and Characterization (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Neurology (137 citations), Biological Psychiatry (28 citations), Immunology (204 citations), Reproductive Medicine (32 citations) and Cancer Research (50 citations). Fengjiao Wu has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lixin Liu, Dongyan Shi, Hong Y. Zhou, Xingxing Zhu, Hong Zhou, Meiqing Shi, Shuang Wen, Yawei Zhao, Mingshun Zhang and Qiang Zou. Their work appears in journals such as Journal of Neuroinflammation, Journal of Leukocyte Biology, Free Radical Biology and Medicine, Cell Death and Disease and ACS Macro Letters.

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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