Xiaoling Deng
Impact in
- Molecular Medicine top 10%
- Antibiotic Resistance in Bacteria
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 17
- Liver Disease Diagnosis and Treatment 10
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 5
- Viral gastroenteritis research and epidemiology 4
- Co-authors
- Keshu Xu (8 shared papers)Beibei Liu (4 shared papers)Shengliang Xin (4 shared papers)Guixin Li (4 shared papers)Qianqian Jiang (5 shared papers)Junli Zhang (2 shared papers)Changwen Ke (9 shared papers)Haiming Zhang (2 shared papers)
- Journals
- Journal of Medical Virology (3 papers)China CDC Weekly (2 papers)International Immunopharmacology (2 papers)Scientific Reports (1 paper)International Journal of Biological Sciences (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoling Deng
38 papers receiving 952 citations
Peers
Comparison fields: 5 of 100
- Molecular Medicine 56
- Epidemiology 373
- Endocrinology 53
- Hepatology 79
- Small Animals 60
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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 149 | |
| 2 | 2017 | 96 | |
| 3 | 2015 | 86 | |
| 4 | 2017 | 66 | |
| 5 | 2012 | 63 | |
| 6 | 2019 | 60 | |
| 7 | 2011 | 58 | |
| 8 | 2017 | 49 | |
| 9 | 2016 | 44 | |
| 10 | 2020 | 43 | |
| 11 | 2021 | 25 | |
| 12 | 2020 | 24 | |
| 13 | 2021 | 22 | |
| 14 | 2013 | 21 | |
| 15 | 2018 | 21 | |
| 16 | 2021 | 19 | |
| 17 | 2024 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2021 | 13 | |
| 20 | 2022 | 10 |
About Xiaoling Deng
Xiaoling Deng is a scholar working on Epidemiology, Infectious Diseases, Food Science, Molecular Biology and Pharmacology, having authored 40 papers that have together received 966 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (10 papers), Salmonella and Campylobacter epidemiology (6 papers), COVID-19 Clinical Research Studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers), Viral gastroenteritis research and epidemiology (4 papers), Animal Virus Infections Studies (3 papers), Diet, Metabolism, and Disease (3 papers) and Liver Disease and Transplantation (3 papers). The work is most often cited by research in Molecular Medicine (56 citations), Epidemiology (373 citations), Endocrinology (53 citations), Hepatology (79 citations) and Small Animals (60 citations). Xiaoling Deng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Keshu Xu, Beibei Liu, Shengliang Xin, Guixin Li, Qianqian Jiang, Junli Zhang, Changwen Ke, Haiming Zhang, Ning Zhang and Junli Zhang. Their work appears in journals such as Journal of Medical Virology, China CDC Weekly, International Immunopharmacology, Scientific Reports and International Journal of Biological Sciences.
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.