Min-Ge Wang

527 citations
31 papers · 288 · h-index 11

Impact in

Papers in

Min-Ge Wang

28 papers receiving 283 citations

Peers

Min-Ge Wang
Comparison fields: 5 of 51
  • Molecular Medicine 172
  • Endocrinology 76
  • Applied Microbiology and Biotechnology 18
  • Pollution 66
  • Food Science 66
Replace Kristina Nešporová with:
Kristina Nešporová Czechia
Herrison Fontana Brazil
Leila Soufi Tunisia
A. T. M. Badruzzaman Bangladesh
José F. Delgado‐Blas Spain
Asmaul Husna Bangladesh
Sonia Ktari Tunisia
Selma Chabou France
Refath Farzana United Kingdom
Aiko D. Adell Chile
Min-Ge Wang relative to Kristina Nešporová Czechia Kristina Nešporová's profile →
Citations per field
00.5×
Kristina Nešporová · 1×
Citations per year

Countries citing papers authored by Min-Ge Wang

Since Specialization
Citations

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

Fields of papers citing papers by Min-Ge Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202141
2 202037
3 202317
4 202115
5 202015
6 202214
7 202114
8 202313
9 202513
10 202212
11 202012
12 202410
13 202110
14 202410
15 20228
16 20237
17 20217
18 20245
19 20225
20 20255

About Min-Ge Wang

Min-Ge Wang is a scholar working on Molecular Medicine, Endocrinology, Food Science, Pollution and Molecular Biology, having authored 31 papers that have together received 288 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Salmonella and Campylobacter epidemiology (7 papers), Pharmaceutical and Antibiotic Environmental Impacts (6 papers), Infections and bacterial resistance (5 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Bacteriophages and microbial interactions (4 papers), Bacterial biofilms and quorum sensing (3 papers) and Vibrio bacteria research studies (2 papers). The work is most often cited by research in Molecular Medicine (172 citations), Endocrinology (76 citations), Applied Microbiology and Biotechnology (18 citations), Pollution (66 citations) and Food Science (66 citations). Min-Ge Wang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiao‐Ping Liao, Jian Sun, Ruan-Yang Sun, Liang‐Xing Fang, Rong‐Min Zhang, Yahong Liu, Ya-Hong Liu, Ya-Hong Liu, Lu Han and Kaidi Liu. Their work appears in journals such as Frontiers in Microbiology, Journal of Antimicrobial Chemotherapy, Applied Microbiology and Biotechnology, Microbiology Spectrum and Environmental Pollution.

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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