Qing Yang
Impact in
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
- Endocrinology top 1%
- Vibrio bacteria research studies
Papers in
-
- Antibiotic Resistance in Bacteria 43
- Epidemiology 23
- Fungal Infections and Studies 7
- Co-authors
- Yunsong Yu (28 shared papers)Lanjuan Li (11 shared papers)Hua Zhou (15 shared papers)Jianying Zhou (12 shared papers)Yiqi Fu (7 shared papers)Zeqing Wei (7 shared papers)Tingting Qu (11 shared papers)Borui Pi (2 shared papers)
- Journals
- Infection and Drug Resistance (6 papers)Antimicrobial Agents and Chemotherapy (5 papers)Journal of Medical Microbiology (4 papers)Frontiers in Microbiology (4 papers)Microbial Drug Resistance (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Qing Yang
85 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 111
- Molecular Medicine 849
- Endocrinology 333
- Applied Microbiology and Biotechnology 100
- Infectious Diseases 293
- Clinical Biochemistry 84
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 96 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 102 | |
| 2 | 2010 | 98 | |
| 3 | 2019 | 71 | |
| 4 | 2007 | 54 | |
| 5 | 2018 | 53 | |
| 6 | 2013 | 52 | |
| 7 | 2018 | 50 | |
| 8 | 2004 | 50 | |
| 9 | 2007 | 49 | |
| 10 | 2015 | 48 | |
| 11 | 2019 | 46 | |
| 12 | 2015 | 43 | |
| 13 | 2000 | 43 | |
| 14 | 2013 | 42 | |
| 15 | 2019 | 41 | |
| 16 | 2015 | 41 | |
| 17 | 2016 | 40 | |
| 18 | 2017 | 36 | |
| 19 | 2017 | 36 | |
| 20 | 2001 | 34 |
About Qing Yang
Qing Yang is a scholar working on Molecular Medicine, Epidemiology, Molecular Biology, Infectious Diseases and Endocrinology, having authored 96 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (43 papers), Antibiotics Pharmacokinetics and Efficacy (12 papers), Vibrio bacteria research studies (8 papers), Bacterial Identification and Susceptibility Testing (8 papers), Antifungal resistance and susceptibility (8 papers), Fungal Infections and Studies (7 papers), Bacterial biofilms and quorum sensing (7 papers) and Antibiotic Use and Resistance (7 papers). The work is most often cited by research in Molecular Medicine (849 citations), Endocrinology (333 citations), Applied Microbiology and Biotechnology (100 citations), Infectious Diseases (293 citations) and Clinical Biochemistry (84 citations). Qing Yang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Yunsong Yu, Lanjuan Li, Hua Zhou, Jianying Zhou, Yiqi Fu, Zeqing Wei, Tingting Qu, Borui Pi, Haishen Kong and Xiaoxing Du. Their work appears in journals such as Infection and Drug Resistance, Antimicrobial Agents and Chemotherapy, Journal of Medical Microbiology, Frontiers in Microbiology and Microbial Drug Resistance.
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.