Xiaolan Yi
Impact in
- Pathology and Forensic Medicine top 10%
- Chemotherapy-induced organ toxicity mitigation
Papers in
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- Autophagy in Disease and Therapy 3
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- Cell death mechanisms and regulation 5
- Mitochondrial Function and Pathology 2
- RNA Interference and Gene Delivery 2
- RNA modifications and cancer 1
- Renal and related cancers 1
- Co-authors
- Zheng Dong (5 shared papers)Xiao‐Ming Yin (1 shared paper)Stephen Hsu (1 shared paper)Cong-Yi Wang (1 shared paper)Man Jiang (1 shared paper)Qingwei David Zhao (1 shared paper)Paul J. Williams (1 shared paper)Qian Shi (1 shared paper)
- Journals
- Biochemical Journal (3 papers)Cancer Cell (1 paper)Molecular and Cellular Biochemistry (1 paper)American Journal of Physiology-Renal Physiology (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Xiaolan Yi
8 papers receiving 715 citations
Peers
Comparison fields: 5 of 85
- Pathology and Forensic Medicine 146
- Cancer Research 102
- Nephrology 40
- Molecular Biology 375
- Cardiology and Cardiovascular Medicine 102
Countries citing papers authored by Xiaolan Yi
This map shows the geographic impact of Xiaolan Yi'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 Xiaolan Yi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaolan Yi more than expected).
Fields of papers citing papers by Xiaolan Yi
This network shows the impact of papers produced by Xiaolan Yi. 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 Xiaolan Yi. The network helps show where Xiaolan Yi may publish in the future.
Co-authors
The 19 scholars most cited alongside Xiaolan Yi, 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 | 2015 | 221 | |
| 2 | 2004 | 156 | |
| 3 | 2011 | 150 | |
| 4 | 2003 | 114 | |
| 5 | 2002 | 36 | |
| 6 | 2001 | 25 | |
| 7 | 2001 | 14 | |
| 8 | 2005 | 5 |
About Xiaolan Yi
Xiaolan Yi is a scholar working on Epidemiology, Molecular Biology, Oncology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 8 papers that have together received 721 indexed citations. Recurring topics across this work include Cell death mechanisms and regulation (5 papers), Autophagy in Disease and Therapy (3 papers), Mitochondrial Function and Pathology (2 papers), RNA Interference and Gene Delivery (2 papers), Sarcoma Diagnosis and Treatment (1 paper), RNA modifications and cancer (1 paper), Renal and related cancers (1 paper) and CAR-T cell therapy research (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (146 citations), Cancer Research (102 citations), Nephrology (40 citations), Molecular Biology (375 citations) and Cardiology and Cardiovascular Medicine (102 citations). Xiaolan Yi has collaborated with scholars based in United States. Frequent co-authors include Zheng Dong, Xiao‐Ming Yin, Stephen Hsu, Cong-Yi Wang, Man Jiang, Qingwei David Zhao, Paul J. Williams, Qian Shi, Suryavathi Viswanadhapalli and Chunyan Tan. Their work appears in journals such as Biochemical Journal, Cancer Cell, Molecular and Cellular Biochemistry, American Journal of Physiology-Renal Physiology and Journal of Biological Chemistry.
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.