Xiaoling Ding

2.1k citations
66 papers · 1.3k · h-index 19

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
    • Extracellular vesicles in disease
    • Circular RNAs in diseases

Papers in

    • Immune Cell Function and Interaction 7
    • Immunotherapy and Immune Responses 7
    • T-cell and B-cell Immunology 4

Xiaoling Ding

63 papers receiving 1.3k citations

Peers

Xiaoling Ding
Comparison fields: 5 of 107
  • Cancer Research 178
  • Molecular Biology 690
  • Plant Science 312
  • Oncology 201
  • Complementary and alternative medicine 60
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Bin Ye China
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Arun Gupta United States
Vidal Fey Finland
Isabel Sánchez‐Pérez Spain
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Su Taiwan
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Citations per field
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Citations per year

Countries citing papers authored by Xiaoling Ding

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaoling Ding Line = papers co-authored together Xiaoling Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995239
2 199595
3 200084
4 201481
5 201581
6 201674
7 202042
8 200941
9 202238
10 201534
11 201633
12 202030
13 201129
14 201528
15 201726
16 200826
17
Protective effects of MCP-1 inhibitor on a rat model of severe acute pancreatitis.
201026
18 202025
19 201621
20 199517

About Xiaoling Ding

Xiaoling Ding is a scholar working on Molecular Biology, Immunology, Organic Chemistry, Oncology and Pharmacology, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include Synthesis and biological activity (10 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (7 papers), Crystal structures of chemical compounds (6 papers), Natural Compounds in Disease Treatment (4 papers), T-cell and B-cell Immunology (4 papers), Cardiomyopathy and Myosin Studies (3 papers) and Blood Coagulation and Thrombosis Mechanisms (3 papers). The work is most often cited by research in Cancer Research (178 citations), Molecular Biology (690 citations), Plant Science (312 citations), Oncology (201 citations) and Complementary and alternative medicine (60 citations). Xiaoling Ding has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Xinping Zhao, Andrew H. Paterson, Hong‐Bin Zhang, Rod A. Wing, Jagdish Gulati, Xiaorong Zhou, Guoxiong Zhou, Bao‐Xiang Zhao, Lee‐Way Jin and Inez Vincent. Their work appears in journals such as Cytotherapy, BioResources, Journal of Cancer, Molecular and Cellular Biology and Neurochemical Research.

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.

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