Ji Bihl
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
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- Extracellular vesicles in disease 33
- Circular RNAs in diseases 8
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- MicroRNA in disease regulation 23
- Co-authors
- Jinju Wang (29 shared papers)Yanfang Chen (25 shared papers)Shuzhen Chen (17 shared papers)Xiaotang Ma (15 shared papers)Yi Yang (9 shared papers)Huaizhang Shi (4 shared papers)Pei Wu (5 shared papers)Bin Zhao (7 shared papers)
- Journals
- Photochemistry and Photobiology (3 papers)Oxidative Medicine and Cellular Longevity (3 papers)Stem Cell Research & Therapy (3 papers)Molecular Brain (2 papers)CNS Neuroscience & Therapeutics (2 papers)
- Partner nations
- United StatesChina
In The Last Decade
Ji Bihl
46 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 777
- Neurology 197
- Molecular Biology 1.3k
- Neurology 198
- Cardiology and Cardiovascular Medicine 237
Countries citing papers authored by Ji Bihl
This map shows the geographic impact of Ji Bihl'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 Ji Bihl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Bihl more than expected).
Fields of papers citing papers by Ji Bihl
This network shows the impact of papers produced by Ji Bihl. 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 Ji Bihl. The network helps show where Ji Bihl may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Bihl, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 154 | |
| 2 | 2020 | 112 | |
| 3 | 2020 | 111 | |
| 4 | 2020 | 110 | |
| 5 | 2018 | 94 | |
| 6 | 2020 | 90 | |
| 7 | 2015 | 83 | |
| 8 | 2016 | 83 | |
| 9 | 2018 | 80 | |
| 10 | 2020 | 77 | |
| 11 | 2015 | 67 | |
| 12 | 2018 | 64 | |
| 13 | 2016 | 59 | |
| 14 | 2014 | 58 | |
| 15 | 2016 | 56 | |
| 16 | 2015 | 49 | |
| 17 | 2016 | 46 | |
| 18 | 2020 | 35 | |
| 19 | 2017 | 31 | |
| 20 | 2017 | 30 |
About Ji Bihl
Ji Bihl is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Neurology and Neurology, having authored 47 papers that have together received 1.8k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (33 papers), MicroRNA in disease regulation (23 papers), Circular RNAs in diseases (8 papers), Intracerebral and Subarachnoid Hemorrhage Research (5 papers), Cardiovascular Disease and Adiposity (4 papers), Renin-Angiotensin System Studies (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). The work is most often cited by research in Cancer Research (777 citations), Neurology (197 citations), Molecular Biology (1.3k citations), Neurology (198 citations) and Cardiology and Cardiovascular Medicine (237 citations). Ji Bihl has collaborated with scholars based in United States and China. Frequent co-authors include Jinju Wang, Yanfang Chen, Shuzhen Chen, Xiaotang Ma, Yi Yang, Huaizhang Shi, Pei Wu, Bin Zhao, Hua Liu and Xiang Xiao. Their work appears in journals such as Photochemistry and Photobiology, Oxidative Medicine and Cellular Longevity, Stem Cell Research & Therapy, Molecular Brain and CNS Neuroscience & Therapeutics.
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.