Baixing Ding
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
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- Antibiotic Use and Resistance
Papers in
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- Antibiotic Resistance in Bacteria 19
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- Antimicrobial Resistance in Staphylococcus 8
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Xiaogang Xu (13 shared papers)Minggui Wang (11 shared papers)Fupin Hu (10 shared papers)Shi Jian Wu (3 shared papers)Qinglan Guo (8 shared papers)Fan Yang (3 shared papers)Meiping Ye (5 shared papers)Yang Yang (3 shared papers)
- Journals
- Journal of Medical Microbiology (3 papers)Frontiers in Microbiology (3 papers)Infection and Drug Resistance (3 papers)PLoS ONE (3 papers)The Journal of Infectious Diseases (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Baixing Ding
26 papers receiving 736 citations
Peers
Comparison fields: 5 of 47
- Molecular Medicine 517
- Applied Microbiology and Biotechnology 64
- Endocrinology 143
- Clinical Biochemistry 96
- Infectious Diseases 162
Countries citing papers authored by Baixing Ding
This map shows the geographic impact of Baixing Ding'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 Baixing Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Baixing Ding more than expected).
Fields of papers citing papers by Baixing Ding
This network shows the impact of papers produced by Baixing Ding. 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 Baixing Ding. The network helps show where Baixing Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Baixing Ding, 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 147 | |
| 2 | 2016 | 99 | |
| 3 | 2017 | 83 | |
| 4 | 2016 | 71 | |
| 5 | 2011 | 46 | |
| 6 | 2011 | 39 | |
| 7 | 2011 | 38 | |
| 8 | 2012 | 35 | |
| 9 | 2016 | 23 | |
| 10 | 2017 | 22 | |
| 11 | 2016 | 21 | |
| 12 | 2021 | 13 | |
| 13 | 2016 | 13 | |
| 14 | 2013 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2015 | 11 | |
| 17 | 2015 | 11 | |
| 18 | 2021 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2023 | 6 |
About Baixing Ding
Baixing Ding is a scholar working on Molecular Medicine, Infectious Diseases, Endocrinology, Clinical Biochemistry and Pharmacology, having authored 30 papers that have together received 745 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (19 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Bacterial biofilms and quorum sensing (6 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Vibrio bacteria research studies (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Enterobacteriaceae and Cronobacter Research (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Molecular Medicine (517 citations), Applied Microbiology and Biotechnology (64 citations), Endocrinology (143 citations), Clinical Biochemistry (96 citations) and Infectious Diseases (162 citations). Baixing Ding has collaborated with scholars based in China, United States and France. Frequent co-authors include Xiaogang Xu, Minggui Wang, Fupin Hu, Shi Jian Wu, Qinglan Guo, Fan Yang, Meiping Ye, Yang Yang, Xiaohua Qin and Zhen Shen. Their work appears in journals such as Journal of Medical Microbiology, Frontiers in Microbiology, Infection and Drug Resistance, PLoS ONE and The Journal of Infectious Diseases.
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.