Xiaoli Ding
Impact in
- Biotechnology top 2%
- Microbial Metabolism and Applications
- Enzyme Production and Characterization
- Pharmacology top 5%
- Microbial Natural Products and Biosynthesis
- Fungal Biology and Applications
- Phytochemistry and Bioactivity Studies
- Pharmacological Effects of Natural Compounds
Papers in
- Oncology 5
- Cytokine Signaling Pathways and Interactions 3
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- T-cell and B-cell Immunology 2
- Co-authors
- Guang‐Xian Zhang (3 shared papers)Bogoljub Ćirić (3 shared papers)Abdolmohamad Rostami (3 shared papers)Yaping Yan (6 shared papers)Youxiang Zhou (1 shared paper)Russell J. Cox (1 shared paper)István Molnár (1 shared paper)Wanping Chen (1 shared paper)
- Journals
- Molecular Therapy (1 paper)Neurotherapeutics (1 paper)Biomedicine & Pharmacotherapy (1 paper)Chemical Science (1 paper)Neuroscience Bulletin (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xiaoli Ding
12 papers receiving 498 citations
Peers
Comparison fields: 5 of 75
- Biotechnology 222
- Pharmacology 89
- Neurology 84
- Pharmacology 171
- Developmental Neuroscience 36
Countries citing papers authored by Xiaoli Ding
This map shows the geographic impact of Xiaoli Ding'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 Xiaoli Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Ding more than expected).
Fields of papers citing papers by Xiaoli Ding
This network shows the impact of papers produced by Xiaoli Ding. 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 Xiaoli Ding. The network helps show where Xiaoli Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Ding, 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 | 245 | |
| 2 | 2012 | 73 | |
| 3 | 2015 | 58 | |
| 4 | 2015 | 44 | |
| 5 | 2019 | 23 | |
| 6 | 2019 | 19 | |
| 7 | 2013 | 13 | |
| 8 | 2014 | 11 | |
| 9 | 2013 | 5 | |
| 10 | 2024 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 3 | |
| 13 | 2025 | 0 |
About Xiaoli Ding
Xiaoli Ding is a scholar working on Oncology, Immunology, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 13 papers that have together received 501 indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (3 papers), MicroRNA in disease regulation (2 papers), T-cell and B-cell Immunology (2 papers), Computational Drug Discovery Methods (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Synthesis and biological activity (1 paper), Microbial Metabolism and Applications (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Biotechnology (222 citations), Pharmacology (89 citations), Neurology (84 citations), Pharmacology (171 citations) and Developmental Neuroscience (36 citations). Xiaoli Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Guang‐Xian Zhang, Bogoljub Ćirić, Abdolmohamad Rostami, Yaping Yan, Youxiang Zhou, Russell J. Cox, István Molnár, Wanping Chen, Yuanyuan Lu and Qingpei Liu. Their work appears in journals such as Molecular Therapy, Neurotherapeutics, Biomedicine & Pharmacotherapy, Chemical Science and Neuroscience Bulletin.
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.