Yuting Pan
Impact in
- Biological Psychiatry top 10%
- Neurology top 10%
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Plant biochemistry and biosynthesis 4
- Inflammasome and immune disorders 4
- Fungal and yeast genetics research 3
- RNA modifications and cancer 3
-
- Plant-Microbe Interactions and Immunity 7
- Co-authors
- Xiaomin Wang (2 shared papers)Hui Yang (2 shared papers)Yan Zheng (2 shared papers)Zheng Fan (2 shared papers)Zhiyuan Zhang (1 shared paper)Jinghong Ma (1 shared paper)Zhigang Liang (1 shared paper)Mingyue Zhao (5 shared papers)
- Journals
- Horticultural Plant Journal (3 papers)Frontiers in Pediatrics (3 papers)Journal of Neuroinflammation (2 papers)Pediatric Rheumatology (2 papers)International Immunopharmacology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Yuting Pan
46 papers receiving 823 citations
Peers
Comparison fields: 5 of 112
- Biological Psychiatry 38
- Neurology 109
- Physiology 33
- Neurology 104
- Molecular Biology 439
Countries citing papers authored by Yuting Pan
This map shows the geographic impact of Yuting Pan'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 Yuting Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuting Pan more than expected).
Fields of papers citing papers by Yuting Pan
This network shows the impact of papers produced by Yuting Pan. 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 Yuting Pan. The network helps show where Yuting Pan may publish in the future.
Co-authors
The 25 scholars most cited alongside Yuting Pan, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 165 | |
| 2 | 2017 | 117 | |
| 3 | 2021 | 59 | |
| 4 | 2017 | 56 | |
| 5 | 2022 | 48 | |
| 6 | 2023 | 36 | |
| 7 | 2017 | 32 | |
| 8 | 2020 | 31 | |
| 9 | 2019 | 26 | |
| 10 | 2012 | 24 | |
| 11 | 2012 | 24 | |
| 12 | 1995 | 20 | |
| 13 | 2020 | 17 | |
| 14 | 2023 | 16 | |
| 15 | 2022 | 15 | |
| 16 | 2023 | 13 | |
| 17 | 2023 | 13 | |
| 18 | 2021 | 11 | |
| 19 | 2024 | 9 | |
| 20 | 2021 | 9 |
About Yuting Pan
Yuting Pan is a scholar working on Molecular Biology, Plant Science, Pathology and Forensic Medicine, Surgery and Hematology, having authored 50 papers that have together received 833 indexed citations. Recurring topics across this work include Plant-Microbe Interactions and Immunity (7 papers), Kawasaki Disease and Coronary Complications (4 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Plant biochemistry and biosynthesis (4 papers), Inflammasome and immune disorders (4 papers), Fungal and yeast genetics research (3 papers), Tea Polyphenols and Effects (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Biological Psychiatry (38 citations), Neurology (109 citations), Physiology (33 citations), Neurology (104 citations) and Molecular Biology (439 citations). Yuting Pan has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiaomin Wang, Hui Yang, Yan Zheng, Zheng Fan, Zhiyuan Zhang, Jinghong Ma, Zhigang Liang, Mingyue Zhao, Chuankui Song and Jingming Wang. Their work appears in journals such as Horticultural Plant Journal, Frontiers in Pediatrics, Journal of Neuroinflammation, Pediatric Rheumatology and International Immunopharmacology.
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.