Xiaolan Ren
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- SARS-CoV-2 detection and testing
Papers in
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- Alcohol Consumption and Health Effects 6
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- Gout, Hyperuricemia, Uric Acid 6
- Co-authors
- Pengfei Ge (9 shared papers)Caixia Dong (7 shared papers)Moira Chan‐Yeung (2 shared papers)Hong-ying Mo (2 shared papers)Huijing He (15 shared papers)Guangliang Shan (15 shared papers)Nanshan Zhong (2 shared papers)Rongchang Chen (2 shared papers)
In The Last Decade
Xiaolan Ren
33 papers receiving 550 citations
Peers
Comparison fields: 5 of 103
- Nephrology 58
- Infectious Diseases 133
- Modeling and Simulation 23
- Nutrition and Dietetics 58
- Pathology and Forensic Medicine 62
Countries citing papers authored by Xiaolan Ren
This map shows the geographic impact of Xiaolan Ren'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 Xiaolan Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Ren more than expected).
Fields of papers citing papers by Xiaolan Ren
This network shows the impact of papers produced by Xiaolan Ren. 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 Xiaolan Ren. The network helps show where Xiaolan Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaolan Ren, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 127 | |
| 2 | 2014 | 56 | |
| 3 | 2014 | 56 | |
| 4 | 2017 | 37 | |
| 5 | 2015 | 30 | |
| 6 | 2023 | 25 | |
| 7 | 2021 | 24 | |
| 8 | 2013 | 22 | |
| 9 | 2014 | 14 | |
| 10 | 2014 | 13 | |
| 11 | 2020 | 13 | |
| 12 | Evaluation by indirect immunofluorescent assay and enzyme linked immunosorbent assay of the dynamic changes of serum antibody responses against severe acute respiratory syndrome coronavirus. | 2005 | 13 |
| 13 | 2022 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2023 | 11 | |
| 16 | [Effects of different feeding practices at 0-6 months and living economic conditions on anemia prevalence of infants and young children]. | 2013 | 11 |
| 17 | 2022 | 10 | |
| 18 | 2014 | 10 | |
| 19 | 2022 | 9 | |
| 20 | 2018 | 8 |
About Xiaolan Ren
Xiaolan Ren is a scholar working on Pathology and Forensic Medicine, Nephrology, Epidemiology, Public Health, Environmental and Occupational Health and Nutrition and Dietetics, having authored 34 papers that have together received 560 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (6 papers), Alcohol Consumption and Health Effects (6 papers), Child Nutrition and Water Access (5 papers), Food Security and Health in Diverse Populations (3 papers), Iron Metabolism and Disorders (3 papers), Blood Pressure and Hypertension Studies (3 papers), Birth, Development, and Health (3 papers) and Obesity, Physical Activity, Diet (3 papers). The work is most often cited by research in Nephrology (58 citations), Infectious Diseases (133 citations), Modeling and Simulation (23 citations), Nutrition and Dietetics (58 citations) and Pathology and Forensic Medicine (62 citations). Xiaolan Ren has collaborated with scholars based in China, Canada and Sweden. Frequent co-authors include Pengfei Ge, Caixia Dong, Moira Chan‐Yeung, Hong-ying Mo, Huijing He, Guangliang Shan, Nanshan Zhong, Rongchang Chen, Hui Li and Changwen Ke. Their work appears in journals such as PLoS ONE, Frontiers in Nutrition, International Journal of Epidemiology, Obesity Facts and Scientific Reports.
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.