Zhigui Wu

657 citations
29 papers · 435 · h-index 14

Impact in

Papers in

    • Metabolomics and Mass Spectrometry Studies 5
    • Extracellular vesicles in disease 2
    • MicroRNA in disease regulation 3
    • Cancer-related molecular mechanisms research 3
    • Cancer, Lipids, and Metabolism 2

Zhigui Wu

28 papers receiving 427 citations

Peers

Zhigui Wu
Comparison fields: 5 of 90
  • Cancer Research 72
  • Toxicology 16
  • Immunology 93
  • Molecular Biology 235
  • Insect Science 40
Replace Jeong-Eun Kwon with:
Jeong-Eun Kwon South Korea
Mei‐Whey Hung Taiwan
Fei Lin China
Wenfeng Li China
Sheng‐Jie Yu Taiwan
Samar F. Darwish Egypt
Weon‐Cheol Han South Korea
Hin Kwok Hong Kong
Baohai Liu China
Lianyi Guo China
Zhigui Wu relative to Jeong-Eun Kwon South Korea Jeong-Eun Kwon's profile →
Citations per field
00.5×3.6×
Jeong-Eun Kwon · 1×
Citations per year

Countries citing papers authored by Zhigui Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhigui Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Zhigui 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 Zhigui Wu Line = papers co-authored together Zhigui 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 202149
2 202244
3 202144
4 201828
5 202126
6 202126
7 201725
8 202224
9 202224
10 202118
11 201717
12 202115
13 202315
14 202213
15 202210
16 20259
17 20227
18 20177
19 20246
20 20206

About Zhigui Wu

Zhigui Wu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Pharmacology and Immunology, having authored 29 papers that have together received 435 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (5 papers), MicroRNA in disease regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Lipids, and Metabolism (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Lung Cancer Treatments and Mutations (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Cancer Research (72 citations), Toxicology (16 citations), Immunology (93 citations), Molecular Biology (235 citations) and Insect Science (40 citations). Zhigui Wu has collaborated with scholars based in China, Hong Kong and Taiwan. Frequent co-authors include Dijun Chen, Zhangang Xiao, Yueshui Zhao, Jing Shen, Mingxing Li, Xiang Lü, Fukuan Du, Xinhua Dai, Jian Gao and Xu Wu. Their work appears in journals such as Scientific Reports, Legal Medicine, Recent Patents on Anti-Cancer Drug Discovery, Nutrition and Acta Pharmaceutica Sinica B.

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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