Minggui Wang

197 papers receiving 6.6k citations

Peers

Minggui Wang
Comparison fields: 5 of 149
  • Molecular Medicine 3.1k
  • Endocrinology 995
  • Applied Microbiology and Biotechnology 352
  • Pollution 757
  • Clinical Biochemistry 400
Replace Didier Hocquet with:
Didier Hocquet France
Marie-Cécile Ploy France
Ian Chopra United Kingdom
Jessica M. A. Blair United Kingdom
Hui Wang China
Milan Kolář Czechia
Carl‐Fredrik Flach Sweden
David A. Boyd Canada
Bonnie Marshall United States
Martin Cormican Ireland
Minggui Wang relative to Didier Hocquet France Didier Hocquet's profile →
Citations per field
00.5×1.7×
Didier Hocquet · 1×
Citations per year

Countries citing papers authored by Minggui Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minggui Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 201 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003403
2 2009277
3 2018236
4 2016229
5 2020218
6 2004214
7 2008177
8 2015171
9 2008167
10 2010166
11 2019139
12 2016128
13 2017118
14 2015116
15 2009116
16 2017110
17 2019107
18 201699
19 201291
20 201587

About Minggui Wang

Minggui Wang is a scholar working on Molecular Medicine, Epidemiology, Pharmacology, Infectious Diseases and Molecular Biology, having authored 201 papers that have together received 6.8k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (94 papers), Antibiotics Pharmacokinetics and Efficacy (31 papers), Pneumonia and Respiratory Infections (18 papers), Antimicrobial Resistance in Staphylococcus (18 papers), Advanced Photocatalysis Techniques (17 papers), Bacterial Identification and Susceptibility Testing (13 papers), Enterobacteriaceae and Cronobacter Research (13 papers) and Bacterial biofilms and quorum sensing (10 papers). The work is most often cited by research in Molecular Medicine (3.1k citations), Endocrinology (995 citations), Applied Microbiology and Biotechnology (352 citations), Pollution (757 citations) and Clinical Biochemistry (400 citations). Minggui Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Han, Xiaogang Xu, Rong Guo, David C. Hooper, Fupin Hu, Qinglan Guo, George A. Jacoby, Demei Zhu, Fu Wang and Yingyuan Zhang. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, International Journal of Antimicrobial Agents, Journal of Antimicrobial Chemotherapy, Diagnostic Microbiology and Infectious Disease and Frontiers in 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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