Xiaoli Ren
Impact in
- Aging top 10%
- Genetics, Aging, and Longevity in Model Organisms
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Lipids, and Metabolism
Papers in
-
- Veterinary Oncology Research 4
- Co-authors
- Yuhong Wu (2 shared papers)Yun Liu (6 shared papers)Min Xiao (1 shared paper)Yun Liu (1 shared paper)Bing Zhao (1 shared paper)Bo Yang (5 shared papers)Xiong Zhang (2 shared papers)Chen-Ping Huang (2 shared papers)
- Journals
- Scientific Reports (3 papers)Animals (3 papers)Chemosphere (2 papers)Frontiers in Microbiology (2 papers)Cell Reports (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiaoli Ren
33 papers receiving 514 citations
Peers
Comparison fields: 5 of 104
- Aging 20
- Cancer Research 79
- Nutrition and Dietetics 54
- Molecular Biology 220
- Neurology 26
Countries citing papers authored by Xiaoli Ren
This map shows the geographic impact of Xiaoli Ren'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 Xiaoli Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Ren more than expected).
Fields of papers citing papers by Xiaoli Ren
This network shows the impact of papers produced by Xiaoli Ren. 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 Xiaoli Ren. The network helps show where Xiaoli Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Ren, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 74 | |
| 2 | 2017 | 65 | |
| 3 | 2019 | 63 | |
| 4 | 2017 | 40 | |
| 5 | 2020 | 34 | |
| 6 | 2014 | 23 | |
| 7 | 2020 | 21 | |
| 8 | 2021 | 16 | |
| 9 | 2021 | 15 | |
| 10 | 2021 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2022 | 13 | |
| 13 | 2018 | 13 | |
| 14 | 2007 | 13 | |
| 15 | 2018 | 12 | |
| 16 | 2022 | 12 | |
| 17 | 2020 | 10 | |
| 18 | 2017 | 10 | |
| 19 | 2023 | 9 | |
| 20 | 2021 | 8 |
About Xiaoli Ren
Xiaoli Ren is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Oncology, Cancer Research and Nutrition and Dietetics, having authored 42 papers that have together received 518 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Fatty Acid Research and Health (4 papers), Veterinary Oncology Research (4 papers), Cancer, Lipids, and Metabolism (3 papers), Milk Quality and Mastitis in Dairy Cows (3 papers), MicroRNA in disease regulation (3 papers), Lung Cancer Research Studies (3 papers) and Infectious Diseases and Mycology (3 papers). The work is most often cited by research in Aging (20 citations), Cancer Research (79 citations), Nutrition and Dietetics (54 citations), Molecular Biology (220 citations) and Neurology (26 citations). Xiaoli Ren has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Yuhong Wu, Yun Liu, Min Xiao, Yun Liu, Bing Zhao, Bo Yang, Xiong Zhang, Chen-Ping Huang, Jian‐Hong Zhu and Duo Li. Their work appears in journals such as Scientific Reports, Animals, Chemosphere, Frontiers in Microbiology and Cell Reports.
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.