Runting Li
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Barrier Structure and Function Studies
- Neurological Disease Mechanisms and Treatments
Papers in
-
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
-
- Neuroinflammation and Neurodegeneration Mechanisms 4
- Traumatic Brain Injury and Neurovascular Disturbances 1
- Co-authors
- James C. Lee (5 shared papers)Grace Y. Sun (5 shared papers)Ágnes Simonyi (1 shared paper)Longxin Chen (11 shared papers)C. Michael Greenlief (5 shared papers)Bo Yang (4 shared papers)Kevin L. Fritsche (3 shared papers)David Q. Beversdorf (3 shared papers)
- Journals
- International Journal of Molecular Sciences (2 papers)Reproduction in Domestic Animals (1 paper)Journal of Neuroinflammation (1 paper)Microbial Genomics (1 paper)Molecular Neurobiology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Runting Li
19 papers receiving 367 citations
Peers
Comparison fields: 5 of 76
- Neurology 83
- Biological Psychiatry 7
- Nutrition and Dietetics 40
- Molecular Biology 176
- Biochemistry 18
Countries citing papers authored by Runting Li
This map shows the geographic impact of Runting Li'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 Runting Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runting Li more than expected).
Fields of papers citing papers by Runting Li
This network shows the impact of papers produced by Runting Li. 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 Runting Li. The network helps show where Runting Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Runting Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 95 | |
| 2 | 2018 | 54 | |
| 3 | 2016 | 41 | |
| 4 | 2020 | 24 | |
| 5 | 2022 | 24 | |
| 6 | 2019 | 23 | |
| 7 | 2019 | 19 | |
| 8 | 2015 | 19 | |
| 9 | 2017 | 18 | |
| 10 | 2020 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2022 | 8 | |
| 13 | 2019 | 5 | |
| 14 | 2021 | 5 | |
| 15 | 2020 | 5 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 1 | |
| 18 | 2024 | 1 | |
| 19 | 2020 | 1 | |
| 20 | 2025 | 0 |
About Runting Li
Runting Li is a scholar working on Molecular Biology, Neurology, Pediatrics, Perinatology and Child Health, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 20 papers that have together received 370 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Fatty Acid Research and Health (2 papers), Parasitic Infections and Diagnostics (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Epigenetics and DNA Methylation (2 papers), Plant Virus Research Studies (2 papers), CRISPR and Genetic Engineering (2 papers) and Traumatic Brain Injury and Neurovascular Disturbances (1 paper). The work is most often cited by research in Neurology (83 citations), Biological Psychiatry (7 citations), Nutrition and Dietetics (40 citations), Molecular Biology (176 citations) and Biochemistry (18 citations). Runting Li has collaborated with scholars based in China and United States. Frequent co-authors include James C. Lee, Grace Y. Sun, Ágnes Simonyi, Longxin Chen, C. Michael Greenlief, Bo Yang, Kevin L. Fritsche, David Q. Beversdorf, Z. Runlin and Limeng Zhang. Their work appears in journals such as International Journal of Molecular Sciences, Reproduction in Domestic Animals, Journal of Neuroinflammation, Microbial Genomics and Molecular Neurobiology.
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.