Xiaoling Deng
Impact in
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
- Autophagy in Disease and Therapy
- Hepatology top 10%
Papers in
- Epidemiology 12
- Liver Disease Diagnosis and Treatment 6
- Autophagy in Disease and Therapy 2
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- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 2
- Co-authors
- Keshu Xu (8 shared papers)Shengliang Xin (4 shared papers)Beibei Liu (4 shared papers)Qianqian Jiang (5 shared papers)Guixin Li (4 shared papers)Junli Zhang (2 shared papers)Ning Zhang (2 shared papers)Haiming Zhang (2 shared papers)
- Journals
- Journal of Medical Virology (3 papers)China CDC Weekly (2 papers)International Immunopharmacology (2 papers)Frontiers in Pharmacology (1 paper)BMC Microbiology (1 paper)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Xiaoling Deng
38 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 92
- Epidemiology 305
- Hepatology 64
- Molecular Medicine 43
- Small Animals 62
- Food Science 124
Countries citing papers authored by Xiaoling Deng
This map shows the geographic impact of Xiaoling Deng'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 Xiaoling Deng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Deng more than expected).
Fields of papers citing papers by Xiaoling Deng
This network shows the impact of papers produced by Xiaoling Deng. 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 Xiaoling Deng. The network helps show where Xiaoling Deng may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Deng, 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 159 | |
| 2 | 2017 | 97 | |
| 3 | 2015 | 86 | |
| 4 | 2017 | 68 | |
| 5 | 2019 | 65 | |
| 6 | 2012 | 64 | |
| 7 | 2011 | 60 | |
| 8 | 2017 | 50 | |
| 9 | 2016 | 45 | |
| 10 | 2020 | 44 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 26 | |
| 13 | 2018 | 24 | |
| 14 | 2024 | 23 | |
| 15 | 2021 | 23 | |
| 16 | 2021 | 22 | |
| 17 | 2013 | 21 | |
| 18 | 2021 | 17 | |
| 19 | 2021 | 14 | |
| 20 | 2024 | 11 |
About Xiaoling Deng
Xiaoling Deng is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health and Pharmacology, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (6 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Animal Virus Infections Studies (3 papers), Viral gastroenteritis research and epidemiology (2 papers), Salmonella and Campylobacter epidemiology (2 papers), Autophagy in Disease and Therapy (2 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Epidemiology (305 citations), Hepatology (64 citations), Molecular Medicine (43 citations), Small Animals (62 citations) and Food Science (124 citations). Xiaoling Deng has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Keshu Xu, Shengliang Xin, Beibei Liu, Qianqian Jiang, Guixin Li, Junli Zhang, Ning Zhang, Haiming Zhang, Changwen Ke and Junli Zhang. Their work appears in journals such as Journal of Medical Virology, China CDC Weekly, International Immunopharmacology, Frontiers in Pharmacology and BMC 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.