Zuowei Wu

100 papers receiving 2.7k citations

Peers

Zuowei Wu
Comparison fields: 5 of 133
  • Molecular Medicine 735
  • Endocrinology 360
  • Food Science 747
  • Infectious Diseases 601
  • Pollution 336
Replace Robert K. Shaw with:
Robert K. Shaw United Kingdom
Philip Ashton United Kingdom
Min Kang South Korea
Wolfgang Rabsch Germany
Manal AbuOun United Kingdom
Katelijne Dierick Belgium
Andréa Micke Moreno Brazil
Rajesh Nayak United States
Jugsharan Singh Virdi India
Lourdes Migura‐García Spain
Zuowei Wu relative to Robert K. Shaw United Kingdom Robert K. Shaw's profile →
Citations per field
00.5×8.7×
Robert K. Shaw · 1×
Citations per year

Countries citing papers authored by Zuowei Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zuowei Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017357
2 2014200
3 2015118
4 2017111
5 2009106
6 201688
7 200883
8 201683
9 201781
10 201071
11 201168
12 201867
13 201763
14 201853
15 201352
16 201750
17 200648
18 201647
19 202146
20 202045

About Zuowei Wu

Zuowei Wu is a scholar working on Food Science, Infectious Diseases, Geophysics, Molecular Biology and Molecular Medicine, having authored 101 papers that have together received 2.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (36 papers), earthquake and tectonic studies (16 papers), Viral gastroenteritis research and epidemiology (16 papers), Earthquake Detection and Analysis (16 papers), Antibiotic Resistance in Bacteria (13 papers), High-pressure geophysics and materials (13 papers), Bacteriophages and microbial interactions (10 papers) and Yeasts and Rust Fungi Studies (7 papers). The work is most often cited by research in Molecular Medicine (735 citations), Endocrinology (360 citations), Food Science (747 citations), Infectious Diseases (601 citations) and Pollution (336 citations). Zuowei Wu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Qijing Zhang, Orhan Şahin, Youjun Feng, Lei Dai, Huimin Zhang, Zhangqi Shen, Michael J. Yaeger, Feng‐Yan Bai, Changjun Wang and Min Cao. Their work appears in journals such as Bulletin of the Seismological Society of America, INTERNATIONAL JOURNAL OF SYSTEMATIC AND EVOLUTIONARY MICROBIOLOGY, Scientific Reports, Applied and Environmental Microbiology and Pure and Applied Geophysics.

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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