Xiaoling Ding
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Extracellular vesicles in disease
- Circular RNAs in diseases
Papers in
- Immunology 12
- Immunotherapy and Immune Responses 6
- Immune Cell Function and Interaction 5
- T-cell and B-cell Immunology 4
- Co-authors
- Andrew H. Paterson (2 shared papers)Xinping Zhao (2 shared papers)Hong‐Bin Zhang (1 shared paper)Rod A. Wing (1 shared paper)Jagdish Gulati (4 shared papers)Xiaorong Zhou (10 shared papers)Guoxiong Zhou (7 shared papers)Bao‐Xiang Zhao (12 shared papers)
- Journals
- BioResources (2 papers)Cytotherapy (2 papers)Blood (1 paper)Journal of Leukocyte Biology (1 paper)Frontiers in Oncology (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoling Ding
63 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Cancer Research 157
- Molecular Biology 658
- Plant Science 314
- Complementary and alternative medicine 59
- Oncology 189
Countries citing papers authored by Xiaoling Ding
This map shows the geographic impact of Xiaoling 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 Xiaoling Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Ding more than expected).
Fields of papers citing papers by Xiaoling Ding
This network shows the impact of papers produced by Xiaoling 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 Xiaoling Ding. The network helps show where Xiaoling Ding may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoling 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
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 247 | |
| 2 | 1995 | 99 | |
| 3 | 2000 | 88 | |
| 4 | 2014 | 84 | |
| 5 | 2015 | 83 | |
| 6 | 2016 | 76 | |
| 7 | 2009 | 43 | |
| 8 | 2020 | 42 | |
| 9 | 2022 | 41 | |
| 10 | 2016 | 36 | |
| 11 | 2015 | 35 | |
| 12 | 2020 | 32 | |
| 13 | 2011 | 30 | |
| 14 | 2015 | 28 | |
| 15 | Protective effects of MCP-1 inhibitor on a rat model of severe acute pancreatitis. | 2010 | 27 |
| 16 | 2017 | 26 | |
| 17 | 2008 | 26 | |
| 18 | 2020 | 26 | |
| 19 | 2022 | 21 | |
| 20 | 2016 | 21 |
About Xiaoling Ding
Xiaoling Ding is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Pharmacology and Oncology, having authored 66 papers that have together received 1.4k indexed citations. Recurring topics across this work include Synthesis and biological activity (10 papers), Immunotherapy and Immune Responses (6 papers), Crystal structures of chemical compounds (6 papers), Immune Cell Function and Interaction (5 papers), Natural Compounds in Disease Treatment (4 papers), T-cell and B-cell Immunology (4 papers), Hemophilia Treatment and Research (3 papers) and Synthesis of Organic Compounds (3 papers). The work is most often cited by research in Cancer Research (157 citations), Molecular Biology (658 citations), Plant Science (314 citations), Complementary and alternative medicine (59 citations) and Oncology (189 citations). Xiaoling Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Andrew H. Paterson, Xinping Zhao, Hong‐Bin Zhang, Rod A. Wing, Jagdish Gulati, Xiaorong Zhou, Guoxiong Zhou, Bao‐Xiang Zhao, Inez Vincent and Jacob Husseman. Their work appears in journals such as BioResources, Cytotherapy, Blood, Journal of Leukocyte Biology and Frontiers in Oncology.
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.