Shaolin Wang
- Molecular Medicine top 0.1%
- Antibiotic Resistance in Bacteria 43
- Endocrinology top 0.5%
- Enterobacteriaceae and Cronobacter Research 9
- Pollution top 0.5%
- Pharmaceutical and Antibiotic Environmental Impacts 23
- Aquatic Science top 1%
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- Genomics and Phylogenetic Studies 12
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- Aquaculture disease management and microbiota 11
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- Fluoride Effects and Removal 10
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- Antimicrobial Resistance in Staphylococcus 8
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- Antibiotics Pharmacokinetics and Efficacy 8
Shaolin Wang
171 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Molecular Medicine 2.3k
- Endocrinology 845
- Pollution 1.4k
- Applied Microbiology and Biotechnology 131
- Aquatic Science 428
Countries citing papers authored by Shaolin Wang
This map shows the geographic impact of Shaolin 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 Shaolin Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaolin Wang more than expected).
Fields of papers citing papers by Shaolin Wang
This network shows the impact of papers produced by Shaolin 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 Shaolin Wang. The network helps show where Shaolin Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Shaolin Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 9 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 0 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 37 | |
| 10 | 2020 | 6 | |
| 11 | Pyrazinamide Resistance and Mutation Patterns Among Multidrug-Resistant Mycobacterium tuberculosis from Henan Province | 2020 | 1 |
| 12 | 2020 | 4 | |
| 13 | 2020 | 12 | |
| 14 | 2019 | 21 | |
| 15 | Emergence of a novel mobile colistin resistance gene, mcr-8 , in NDM-producing Klebsiella pneumoniaebreakdown → | 2018 | 373 |
| 16 | 2018 | 102 | |
| 17 | Novel Plasmid-Mediated Colistin Resistance Gene mcr-3 in Escherichia colibreakdown → | 2017 | 448 |
| 18 | 2013 | 18 | |
| 19 | 2007 | 54 | |
| 20 | 2006 | 60 |
About Shaolin Wang
Shaolin Wang is a scholar working on Molecular Medicine, Endocrinology and Pollution, having authored 179 papers that have together received 6.5k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (43 papers), Pharmaceutical and Antibiotic Environmental Impacts (23 papers), Genomics and Phylogenetic Studies (12 papers), Aquaculture disease management and microbiota (11 papers), Fluoride Effects and Removal (10 papers), Enterobacteriaceae and Cronobacter Research (9 papers), Antimicrobial Resistance in Staphylococcus (8 papers) and Antibiotics Pharmacokinetics and Efficacy (8 papers). The work is most often cited by research in Molecular Medicine (2.3k citations), Endocrinology (845 citations) and Pollution (1.4k citations). Shaolin Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yang Wang, Zhangqi Shen, Jianzhong Shen, Zhanjiang Liu, Huseyin Kucuktas, Eric Peatman, Wenjuan Yin, Timothy R. Walsh, Peng Xu and Rong Zhang. Their work appears in journals such as BMC Genomics, Journal of Antimicrobial Chemotherapy, Scientific Reports, Chemosphere and Veterinary 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.