Xiaoling Deng
Impact in
- Hepatology top 10%
- Liver physiology and pathology
- Microbiology top 10%
- Microbial infections and disease research
Papers in
-
- TGF-β signaling in diseases 3
- Co-authors
- Rachel C. Chambers (3 shared papers)Paul F. Mercer (3 shared papers)Mingyan Xu (12 shared papers)Songlin Shi (13 shared papers)Jiahuan Li (3 shared papers)Keshu Xu (3 shared papers)Chris J. Scotton (1 shared paper)Annette Gilchrist (1 shared paper)
- Journals
- Journal of Cellular Biochemistry (5 papers)Medicine (3 papers)China CDC Weekly (2 papers)Digestive and Liver Disease (1 paper)International journal of agricultural and biological engineering (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoling Deng
62 papers receiving 850 citations
Peers
Comparison fields: 5 of 113
- Hepatology 74
- Microbiology 53
- Geriatrics and Gerontology 26
- Endocrinology 35
- Cancer Research 90
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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 135 | |
| 2 | 2013 | 59 | |
| 3 | 2008 | 51 | |
| 4 | 2020 | 42 | |
| 5 | 2020 | 39 | |
| 6 | 2020 | 35 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 27 | |
| 9 | 2012 | 26 | |
| 10 | 2010 | 24 | |
| 11 | Prevalence and characterization of genotypic diversity of Haemophilus parasuis isolates from southern China. | 2012 | 22 |
| 12 | 2017 | 20 | |
| 13 | 2020 | 20 | |
| 14 | 2017 | 20 | |
| 15 | 2003 | 19 | |
| 16 | 2017 | 18 | |
| 17 | 2023 | 17 | |
| 18 | 2011 | 17 | |
| 19 | 2015 | 17 | |
| 20 | 2022 | 17 |
About Xiaoling Deng
Xiaoling Deng is a scholar working on Molecular Biology, Immunology, Cancer Research, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 64 papers that have together received 854 indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (4 papers), Vibrio bacteria research studies (3 papers), Viral gastroenteritis research and epidemiology (3 papers), TGF-β signaling in diseases (3 papers), Phytoplasmas and Hemiptera pathogens (3 papers), Protease and Inhibitor Mechanisms (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and NF-κB Signaling Pathways (3 papers). The work is most often cited by research in Hepatology (74 citations), Microbiology (53 citations), Geriatrics and Gerontology (26 citations), Endocrinology (35 citations) and Cancer Research (90 citations). Xiaoling Deng has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Rachel C. Chambers, Paul F. Mercer, Mingyan Xu, Songlin Shi, Jiahuan Li, Keshu Xu, Chris J. Scotton, Annette Gilchrist, Yu‐Cai Fu and Xin Zeng. Their work appears in journals such as Journal of Cellular Biochemistry, Medicine, China CDC Weekly, Digestive and Liver Disease and International journal of agricultural and biological engineering.
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.