Min Ding

885 citations
26 papers · 654 · h-index 12

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities
    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation

Papers in

Min Ding

25 papers receiving 637 citations

Peers

Min Ding
Comparison fields: 5 of 77
  • Genetics 143
  • Cancer Research 156
  • Neurology 95
  • Infectious Diseases 99
  • Oncology 111
Replace Jean‐François Laes with:
Jean‐François Laes Belgium
Yi Dai China
Line Buhl Denmark
Elham Roshandel Iran
Céline Villenet France
Longwei Qiao China
Rolf‐Dieter Wegner Germany
Gyulnar Baimukanova United States
Xuehua Ding China
Thaidy Moreno-Rodriguez Spain
Min Ding relative to Jean‐François Laes Belgium Jean‐François Laes's profile →
Citations per field
00.5×5.8×
Jean‐François Laes · 1×
Citations per year

Countries citing papers authored by Min Ding

Since Specialization
Citations

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

Fields of papers citing papers by Min Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020124
2 1999102
3 200265
4 201658
5 199951
6 201247
7 201740
8 201630
9 200225
10 201824
11 201524
12 202023
13 20197
14 20147
15 20157
16 20214
17 20193
18 20242
19 20182
20 20072

About Min Ding

Min Ding is a scholar working on Cancer Research, Molecular Biology, Infectious Diseases, Genetics and Cell Biology, having authored 26 papers that have together received 654 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (4 papers), Viral gastroenteritis research and epidemiology (3 papers), MicroRNA in disease regulation (3 papers), Folate and B Vitamins Research (2 papers), Metabolism and Genetic Disorders (2 papers), Microtubule and mitosis dynamics (2 papers) and Sperm and Testicular Function (2 papers). The work is most often cited by research in Genetics (143 citations), Cancer Research (156 citations), Neurology (95 citations), Infectious Diseases (99 citations) and Oncology (111 citations). Min Ding has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ho‐Keung Ng, Yue Cheng, Jesse Chung‐Sean Pang, Kwok Wai Lo, Wai Sang Poon, Jie He, Jing Wu, Xiwen Tong, Weiming Liu and Xue Bai. Their work appears in journals such as Oncotarget, Frontiers in Oncology, Blood Purification, Cancer Science and Journal of Neuropathology & Experimental Neurology.

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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