Hui Ren
Impact in
- Parasitology top 1%
- Parasites and Host Interactions
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- Bone Metabolism and Diseases 24
- Circular RNAs in diseases 14
-
- MicroRNA in disease regulation 17
- Cancer-related molecular mechanisms research 17
- Co-authors
- Jing Cui (14 shared papers)Zhong Quan Wang (13 shared papers)Ruo Dan Liu (10 shared papers)De Liang (31 shared papers)Gengyang Shen (31 shared papers)Xiang Yu (25 shared papers)Qi Shang (27 shared papers)Wenhua Zhao (25 shared papers)
- Journals
- Journal of Cellular Physiology (5 papers)Experimental Parasitology (5 papers)Neurological Sciences (4 papers)Evidence-based Complementary and Alternative Medicine (4 papers)Journal of Ethnopharmacology (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Hui Ren
167 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 137
- Parasitology 476
- Cancer Research 745
- Infectious Diseases 601
- Molecular Biology 1.8k
- Aging 35
Countries citing papers authored by Hui Ren
This map shows the geographic impact of Hui 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 Hui Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hui Ren more than expected).
Fields of papers citing papers by Hui Ren
This network shows the impact of papers produced by Hui 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 Hui Ren. The network helps show where Hui Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Hui 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 176 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 179 | |
| 2 | 2020 | 116 | |
| 3 | 2017 | 113 | |
| 4 | 2013 | 92 | |
| 5 | 2015 | 88 | |
| 6 | 2013 | 78 | |
| 7 | 2013 | 75 | |
| 8 | 2019 | 69 | |
| 9 | 2018 | 66 | |
| 10 | 2013 | 65 | |
| 11 | 2011 | 62 | |
| 12 | 2015 | 57 | |
| 13 | 2017 | 57 | |
| 14 | 2015 | 56 | |
| 15 | 2015 | 56 | |
| 16 | 2013 | 56 | |
| 17 | 2015 | 54 | |
| 18 | 2014 | 54 | |
| 19 | 2018 | 52 | |
| 20 | 2016 | 52 |
About Hui Ren
Hui Ren is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Neurology, having authored 176 papers that have together received 3.5k indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (24 papers), MicroRNA in disease regulation (17 papers), Cancer-related molecular mechanisms research (17 papers), Parkinson's Disease Mechanisms and Treatments (15 papers), Parasitic Diseases Research and Treatment (15 papers), Circular RNAs in diseases (14 papers), Parasites and Host Interactions (10 papers) and Bone health and osteoporosis research (9 papers). The work is most often cited by research in Parasitology (476 citations), Cancer Research (745 citations), Infectious Diseases (601 citations), Molecular Biology (1.8k citations) and Aging (35 citations). Hui Ren has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jing Cui, Zhong Quan Wang, Ruo Dan Liu, De Liang, Gengyang Shen, Xiang Yu, Qi Shang, Wenhua Zhao, Jingjing Tang and Shao Rong Long. Their work appears in journals such as Journal of Cellular Physiology, Experimental Parasitology, Neurological Sciences, Evidence-based Complementary and Alternative Medicine and Journal of Ethnopharmacology.
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.