Xiangbin Ding

466 citations
28 papers · 350 · h-index 11

Impact in

Papers in

    • RNA Research and Splicing 6
    • RNA modifications and cancer 6
    • Muscle Physiology and Disorders 6
    • Animal Genetics and Reproduction 5
    • Genetic and phenotypic traits in livestock 2

Xiangbin Ding

26 papers receiving 348 citations

Peers

Xiangbin Ding
Comparison fields: 5 of 80
  • Cancer Research 79
  • Equine 6
  • Molecular Biology 211
  • Agronomy and Crop Science 26
  • Renewable Energy, Sustainability and the Environment 39
Replace Dongmei Tian with:
Dongmei Tian China
Manuel Hörl Switzerland
Meimei Wang China
Wenlong Bao China
Lina Xu China
Ruiwen Li China
S. Funayama Brazil
Zhigang Liao China
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Citations per field
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Citations per year

Countries citing papers authored by Xiangbin Ding

Since Specialization
Citations

This map shows the geographic impact of Xiangbin 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 Xiangbin Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiangbin Ding more than expected).

Fields of papers citing papers by Xiangbin Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiangbin 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 Xiangbin Ding. The network helps show where Xiangbin Ding may publish in the future.

Co-authors

The 25 scholars most cited alongside Xiangbin 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 Xiangbin Ding Line = papers co-authored together Xiangbin Ding links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201252
2 201442
3 201835
4 201932
5 202226
6 201723
7 202017
8 202116
9 202113
10 201511
11 201810
12 20179
13 20229
14 20227
15 20136
16 20156
17 20176
18 20226
19 20235
20 20234

About Xiangbin Ding

Xiangbin Ding is a scholar working on Molecular Biology, Genetics, Cancer Research, Surgery and Physiology, having authored 28 papers that have together received 350 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (7 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (6 papers), Muscle Physiology and Disorders (6 papers), Animal Genetics and Reproduction (5 papers), Adipose Tissue and Metabolism (3 papers), Genetic and phenotypic traits in livestock (2 papers) and Tissue Engineering and Regenerative Medicine (2 papers). The work is most often cited by research in Cancer Research (79 citations), Equine (6 citations), Molecular Biology (211 citations), Agronomy and Crop Science (26 citations) and Renewable Energy, Sustainability and the Environment (39 citations). Xiangbin Ding has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Hong Guo, Xinfeng Liu, Guangpeng Li, Xiaowei Song, Jean‐François Boily, Shuping Yang, Yiwen Guo, Sheng Zhang, Linlin Zhang and Xin Li. Their work appears in journals such as Cells, International Journal of Molecular Sciences, Gene, In Vitro Cellular & Developmental Biology - Animal and Lipids in Health and Disease.

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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