Xiaoling Jiang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
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- Circular RNAs in diseases 5
- Genetics 10
- Genetics and Neurodevelopmental Disorders 4
- Co-authors
- Zhaowei Cai (9 shared papers)Hong Fang (5 shared papers)Xiaoyan Liu (3 shared papers)James A. Levine (1 shared paper)Ningying Xu (8 shared papers)Colleen M. Novak (1 shared paper)Catherine M. Kotz (1 shared paper)Jennifer A. Teske (1 shared paper)
- Journals
- Scientific Reports (2 papers)G3 Genes Genomes Genetics (2 papers)Cancer Research (2 papers)International Journal of Molecular Sciences (2 papers)Human Molecular Genetics (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoling Jiang
64 papers receiving 971 citations
Peers
Comparison fields: 5 of 102
- Cancer Research 157
- Endocrine and Autonomic Systems 59
- Hepatology 63
- Molecular Biology 473
- Cell Biology 105
Countries citing papers authored by Xiaoling Jiang
This map shows the geographic impact of Xiaoling Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Jiang more than expected).
Fields of papers citing papers by Xiaoling Jiang
This network shows the impact of papers produced by Xiaoling Jiang. 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 Jiang. The network helps show where Xiaoling Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling Jiang, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 98 | |
| 2 | 2007 | 63 | |
| 3 | 2009 | 62 | |
| 4 | 2015 | 58 | |
| 5 | 2008 | 55 | |
| 6 | 2012 | 52 | |
| 7 | 2015 | 40 | |
| 8 | 2015 | 34 | |
| 9 | 2013 | 33 | |
| 10 | 2003 | 30 | |
| 11 | 2015 | 29 | |
| 12 | 2010 | 27 | |
| 13 | 2013 | 25 | |
| 14 | 2013 | 23 | |
| 15 | 2019 | 23 | |
| 16 | 2007 | 22 | |
| 17 | 2013 | 19 | |
| 18 | 2021 | 19 | |
| 19 | 2008 | 18 | |
| 20 | 2020 | 18 |
About Xiaoling Jiang
Xiaoling Jiang is a scholar working on Molecular Biology, Genetics, Pharmacology, Cancer Research and Physiology, having authored 72 papers that have together received 983 indexed citations. Recurring topics across this work include Fungal Biology and Applications (7 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Meat and Animal Product Quality (5 papers), Down syndrome and intellectual disability research (4 papers), Genetics and Neurodevelopmental Disorders (4 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Cancer Research (157 citations), Endocrine and Autonomic Systems (59 citations), Hepatology (63 citations), Molecular Biology (473 citations) and Cell Biology (105 citations). Xiaoling Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Zhaowei Cai, Hong Fang, Xiaoyan Liu, James A. Levine, Ningying Xu, Colleen M. Novak, Catherine M. Kotz, Jennifer A. Teske, Chuanfeng Wang and Chi Yang. Their work appears in journals such as Scientific Reports, G3 Genes Genomes Genetics, Cancer Research, International Journal of Molecular Sciences and Human Molecular Genetics.
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.