Xiaolin Wei
Impact in
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- Antibiotic Use and Resistance
- Infectious Diseases top 2%
- Tuberculosis Research and Epidemiology
- COVID-19 Clinical Research Studies
Papers in
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- Tuberculosis Research and Epidemiology 43
-
- Antibiotic Use and Resistance 19
- Co-authors
- John D. Walley (50 shared papers)Jia Yin (29 shared papers)Guanyang Zou (36 shared papers)Erjia Ge (19 shared papers)Qiang Sun (21 shared papers)Zhitong Zhang (26 shared papers)Shishi Wu (10 shared papers)Xiaomeng Wang (8 shared papers)
- Journals
- PLoS ONE (16 papers)Tropical Medicine & International Health (9 papers)BMC Public Health (9 papers)BMJ Open (8 papers)BMC Health Services Research (6 papers)
- Partner nations
- ChinaCanadaUnited Kingdom
In The Last Decade
Xiaolin Wei
170 papers receiving 3.4k citations
Peers
Comparison fields: 5 of 114
- Applied Microbiology and Biotechnology 356
- Infectious Diseases 815
- General Health Professions 372
- Health, Toxicology and Mutagenesis 171
- Finance 93
Countries citing papers authored by Xiaolin Wei
This map shows the geographic impact of Xiaolin Wei'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 Xiaolin Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolin Wei more than expected).
Fields of papers citing papers by Xiaolin Wei
This network shows the impact of papers produced by Xiaolin Wei. 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 Xiaolin Wei. The network helps show where Xiaolin Wei may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolin Wei, 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 186 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 184 | |
| 2 | 2017 | 115 | |
| 3 | 2021 | 103 | |
| 4 | 2018 | 85 | |
| 5 | 2020 | 85 | |
| 6 | 2016 | 74 | |
| 7 | 2013 | 66 | |
| 8 | 2019 | 66 | |
| 9 | 2019 | 64 | |
| 10 | 2018 | 63 | |
| 11 | 2017 | 62 | |
| 12 | 2009 | 58 | |
| 13 | 2023 | 57 | |
| 14 | 2017 | 54 | |
| 15 | 2018 | 49 | |
| 16 | 2015 | 45 | |
| 17 | 2015 | 45 | |
| 18 | 2016 | 44 | |
| 19 | 2022 | 42 | |
| 20 | 2014 | 41 |
About Xiaolin Wei
Xiaolin Wei is a scholar working on Infectious Diseases, Applied Microbiology and Biotechnology, General Health Professions, Health, Toxicology and Mutagenesis and Finance, having authored 186 papers that have together received 3.5k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (43 papers), Antibiotic Use and Resistance (19 papers), Primary Care and Health Outcomes (14 papers), Air Quality and Health Impacts (8 papers), Health Policy Implementation Science (6 papers), Healthcare Systems and Reforms (5 papers), Blood Pressure and Hypertension Studies (3 papers) and Diabetes Management and Education (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (356 citations), Infectious Diseases (815 citations), General Health Professions (372 citations), Health, Toxicology and Mutagenesis (171 citations) and Finance (93 citations). Xiaolin Wei has collaborated with scholars based in China, Canada and United Kingdom. Frequent co-authors include John D. Walley, Jia Yin, Guanyang Zou, Erjia Ge, Qiang Sun, Zhitong Zhang, Shishi Wu, Xiaomeng Wang, Samuel Yeung Shan Wong and Sian Meryl Griffiths. Their work appears in journals such as PLoS ONE, Tropical Medicine & International Health, BMC Public Health, BMJ Open and BMC Health Services Research.
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.