Guoping Ding

2.4k citations
56 papers · 1.9k · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 10%
    • Immune cells in cancer

Papers in

    • Extracellular vesicles in disease 11
    • Circular RNAs in diseases 3
    • MicroRNA in disease regulation 10
    • Cancer-related molecular mechanisms research 3

Guoping Ding

54 papers receiving 1.8k citations

Peers

Guoping Ding
Comparison fields: 5 of 95
  • Cancer Research 875
  • Immunology 379
  • Molecular Biology 1.2k
  • Oncology 418
  • Physiology 36
Replace Jury Gladkich with:
Jury Gladkich Germany
Erkut Borazanci United States
Xin Hu China
Zeyi Liu China
Aki Pui‐Wah Tse Hong Kong
Twee Tsao United States
Mina Maftouh Iran
Xiao-Shi Zhang China
Jafar Karami Iran
Wei‐Tien Tai Taiwan
Guoping Ding relative to Jury Gladkich Germany Jury Gladkich's profile →
Citations per field
00.5×3.2×
Jury Gladkich · 1×
Citations per year

Countries citing papers authored by Guoping Ding

Since Specialization
Citations

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

Fields of papers citing papers by Guoping Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015251
2 2014248
3 2013228
4 2020140
5 2019135
6 202077
7 201668
8 201754
9 201952
10 201950
11 202047
12 201943
13 202241
14 202038
15 201036
16 201933
17 201830
18 201629
19 202025
20 201822

About Guoping Ding

Guoping Ding is a scholar working on Molecular Biology, Cancer Research, Oncology, Surgery and Economics and Econometrics, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (11 papers), MicroRNA in disease regulation (10 papers), Pancreatic and Hepatic Oncology Research (6 papers), Energy, Environment, Economic Growth (4 papers), Economic Growth and Development (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Cancer-related molecular mechanisms research (3 papers) and Circular RNAs in diseases (3 papers). The work is most often cited by research in Cancer Research (875 citations), Immunology (379 citations), Molecular Biology (1.2k citations), Oncology (418 citations) and Physiology (36 citations). Guoping Ding has collaborated with scholars based in China, Latvia and United States. Frequent co-authors include Liping Cao, Jionghuang Chen, Liping Cao, Liangjing Zhou, Risheng Que, Shengnan Jia, Zhengrong Wu, Xiaodong Xu, Min Zhou and Wenchao Chen. Their work appears in journals such as Journal of Cancer, Journal of Zhejiang University SCIENCE B, Cell Death and Disease, Pathology & Oncology Research and World Journal of Surgical 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.

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