Yan Ding

2.1k citations
52 papers · 1.6k · h-index 21

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
    • Cancer-related molecular mechanisms research
    • Renal and related cancers
    • Angiogenesis and VEGF in Cancer
    • Ubiquitin and proteasome pathways
    • Bacillus and Francisella bacterial research

Papers in

Yan Ding

49 papers receiving 1.6k citations

Peers

Yan Ding
Comparison fields: 5 of 97
  • Cancer Research 282
  • Molecular Biology 840
  • Pulmonary and Respiratory Medicine 341
  • Oncology 266
  • Cell Biology 154
Replace Wen‐Lung Ma with:
Wen‐Lung Ma Taiwan
José Palacios Spain
Shan Yu China
Andelko Hrzenjak Austria
Enrique A. Castellón Chile
Laura Moro Italy
Qingbin Kong China
Torben Ørntoft Denmark
Roch‐Philippe Charles Switzerland
Yan Ding relative to Wen‐Lung Ma Taiwan Wen‐Lung Ma's profile →
Citations per field
00.5×1.5×
Wen‐Lung Ma · 1×
Citations per year

Countries citing papers authored by Yan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Yan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010334
2 2010189
3 2008179
4 2008103
5 201283
6 201974
7
VX680/MK-0457, a potent and selective Aurora kinase inhibitor, targets both tumor and endothelial cells in clear cell renal cell carcinoma.
201046
8 201738
9 200635
10 202233
11 202032
12 201131
13 201630
14 200829
15 200828
16 201928
17 202321
18 201821
19 202021
20 200620

About Yan Ding

Yan Ding is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Endocrine and Autonomic Systems, Cancer Research and Oncology, having authored 52 papers that have together received 1.6k indexed citations. Recurring topics across this work include Renal cell carcinoma treatment (7 papers), Neuroscience of respiration and sleep (6 papers), Renal and related cancers (5 papers), Ferroptosis and cancer prognosis (4 papers), Cancer Mechanisms and Therapy (3 papers), Melanoma and MAPK Pathways (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related Molecular Pathways (3 papers). The work is most often cited by research in Cancer Research (282 citations), Molecular Biology (840 citations), Pulmonary and Respiratory Medicine (341 citations), Oncology (266 citations) and Cell Biology (154 citations). Yan Ding has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Dan Huang, Bin Tean Teh, Chao-Nan Qian, Kristin VandenBeldt, Kyle A. Furge, David Petillo, Wang-Mei Luo, Brian I. Rini, P. Andrew Futreal and Ming Zhou. Their work appears in journals such as Cancer Research, Cell Death and Differentiation, Cell Death and Disease, Acta Biochimica et Biophysica Sinica and Neuroreport.

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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