Qing Yang
Impact in
- Molecular Medicine top 0.2%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
-
- Antibiotic Resistance in Bacteria 54
-
- Antifungal resistance and susceptibility 12
- Antimicrobial Resistance in Staphylococcus 2
- Co-authors
- Yunsong Yu (31 shared papers)Lanjuan Li (12 shared papers)Hua Zhou (17 shared papers)Jianying Zhou (13 shared papers)Yiqi Fu (7 shared papers)Zeqing Wei (7 shared papers)Tingting Qu (12 shared papers)Borui Pi (2 shared papers)
- Journals
- Infection and Drug Resistance (6 papers)Clinical Microbiology and Infection (5 papers)Antimicrobial Agents and Chemotherapy (5 papers)Journal of Medical Microbiology (4 papers)Frontiers in Microbiology (4 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Qing Yang
92 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 88
- Molecular Medicine 1.3k
- Applied Microbiology and Biotechnology 82
- Infectious Diseases 414
- Endocrinology 83
- Clinical Biochemistry 60
Countries citing papers authored by Qing Yang
This map shows the geographic impact of Qing Yang'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 Qing Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Yang more than expected).
Fields of papers citing papers by Qing Yang
This network shows the impact of papers produced by Qing Yang. 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 Qing Yang. The network helps show where Qing Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Qing Yang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 300 | |
| 2 | 2015 | 151 | |
| 3 | 2011 | 103 | |
| 4 | 2010 | 99 | |
| 5 | 2019 | 73 | |
| 6 | 2007 | 61 | |
| 7 | 2007 | 55 | |
| 8 | 2018 | 55 | |
| 9 | 2013 | 54 | |
| 10 | 2007 | 51 | |
| 11 | 2018 | 50 | |
| 12 | 2004 | 48 | |
| 13 | 2019 | 47 | |
| 14 | 2013 | 43 | |
| 15 | 2015 | 43 | |
| 16 | 2015 | 42 | |
| 17 | 2019 | 40 | |
| 18 | 2016 | 39 | |
| 19 | 2017 | 36 | |
| 20 | 2014 | 35 |
About Qing Yang
Qing Yang is a scholar working on Molecular Medicine, Infectious Diseases, Endocrinology, Epidemiology and Applied Microbiology and Biotechnology, having authored 99 papers that have together received 2.3k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (54 papers), Antifungal resistance and susceptibility (12 papers), Urinary Tract Infections Management (3 papers), Neutropenia and Cancer Infections (3 papers), Infections and bacterial resistance (3 papers), Catalytic Alkyne Reactions (3 papers), Pneumonia and Respiratory Infections (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Molecular Medicine (1.3k citations), Applied Microbiology and Biotechnology (82 citations), Infectious Diseases (414 citations), Endocrinology (83 citations) and Clinical Biochemistry (60 citations). Qing Yang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yunsong Yu, Lanjuan Li, Hua Zhou, Jianying Zhou, Yiqi Fu, Zeqing Wei, Tingting Qu, Borui Pi, Yagang Chen and Haishen Kong. Their work appears in journals such as Infection and Drug Resistance, Clinical Microbiology and Infection, Antimicrobial Agents and Chemotherapy, Journal of Medical Microbiology 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.