Xiaoling Deng
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Food Science top 5%
- Salmonella and Campylobacter epidemiology
Papers in
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- CRISPR and Genetic Engineering 4
-
- Vibrio bacteria research studies 7
- Co-authors
- Rubén Vidal (1 shared paper)Ella W. Englander (1 shared paper)Shixing Tang (4 shared papers)Yuanhao Liang (3 shared papers)Lirong Zou (3 shared papers)Bixia Ke (7 shared papers)Changwen Ke (7 shared papers)Xingfen Yang (4 shared papers)
- Journals
- Foodborne Pathogens and Disease (3 papers)Food Control (2 papers)China CDC Weekly (1 paper)The Science of The Total Environment (1 paper)Biosensors and Bioelectronics (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaoling Deng
25 papers receiving 499 citations
Peers
Comparison fields: 5 of 73
- Endocrinology 126
- Food Science 161
- Molecular Medicine 42
- Pollution 62
- Biotechnology 42
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 107 | |
| 2 | 2012 | 64 | |
| 3 | 2018 | 50 | |
| 4 | 2022 | 41 | |
| 5 | 2013 | 39 | |
| 6 | 2016 | 39 | |
| 7 | 2010 | 35 | |
| 8 | 2017 | 26 | |
| 9 | 2022 | 16 | |
| 10 | 2022 | 16 | |
| 11 | 2011 | 15 | |
| 12 | 2024 | 11 | |
| 13 | 2017 | 8 | |
| 14 | 2013 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2013 | 5 | |
| 17 | 2016 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2015 | 2 | |
| 20 | [Manual microdissection of defined cells and RNA extraction for gene expression analysis of esophageal carcinoma progress]. | 2003 | 2 |
About Xiaoling Deng
Xiaoling Deng is a scholar working on Molecular Biology, Endocrinology, Food Science, Infectious Diseases and Immunology, having authored 25 papers that have together received 503 indexed citations. Recurring topics across this work include Vibrio bacteria research studies (7 papers), Salmonella and Campylobacter epidemiology (6 papers), CRISPR and Genetic Engineering (4 papers), Viral gastroenteritis research and epidemiology (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Aquaculture disease management and microbiota (3 papers), Food Safety and Hygiene (2 papers) and SARS-CoV-2 detection and testing (2 papers). The work is most often cited by research in Endocrinology (126 citations), Food Science (161 citations), Molecular Medicine (42 citations), Pollution (62 citations) and Biotechnology (42 citations). Xiaoling Deng has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Rubén Vidal, Ella W. Englander, Shixing Tang, Yuanhao Liang, Lirong Zou, Bixia Ke, Changwen Ke, Xingfen Yang, Yunchang Guo and Li Bai. Their work appears in journals such as Foodborne Pathogens and Disease, Food Control, China CDC Weekly, The Science of The Total Environment and Biosensors and Bioelectronics.
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.