Ivan Ding

67 papers receiving 2.3k citations

Peers

Ivan Ding
Comparison fields: 5 of 111
  • Cancer Research 433
  • Radiology, Nuclear Medicine and Imaging 570
  • Oncology 519
  • Immunology and Allergy 79
  • Molecular Biology 916
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Citations per year

Countries citing papers authored by Ivan Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002208
2 1995138
3 2004130
4 2001125
5 2006120
6 2002102
7 199889
8
MDA-MB-134 breast carcinoma cells overexpress fibroblast growth factor (FGF) receptors and are growth-inhibited by FGF ligands.
199484
9 200683
10
Overexpression of vascular endothelial growth factor by MCF-7 breast cancer cells promotes estrogen-independent tumor growth in vivo.
200370
11
Intratumoral administration of endostatin plasmid inhibits vascular growth and perfusion in MCa-4 murine mammary carcinomas.
200170
12 200864
13 199160
14 199759
15 200156
16 201154
17 200352
18 199651
19 200448
20 200744

About Ivan Ding

Ivan Ding is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Surgery and Pharmacology, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (21 papers), Cancer, Hypoxia, and Metabolism (21 papers), Fibroblast Growth Factor Research (15 papers), Effects of Radiation Exposure (12 papers), Inflammatory mediators and NSAID effects (6 papers), Cell Adhesion Molecules Research (6 papers), Proteoglycans and glycosaminoglycans research (5 papers) and Cancer Cells and Metastasis (4 papers). The work is most often cited by research in Cancer Research (433 citations), Radiology, Nuclear Medicine and Imaging (570 citations), Oncology (519 citations), Immunology and Allergy (79 citations) and Molecular Biology (916 citations). Ivan Ding has collaborated with scholars based in United States, China and Belgium. Frequent co-authors include Weimin Liu, Paul Okunieff, Bruce M. Fenton, Paul Okunieff, Scott F. Paoni, Florian Kern, Jacqueline P. Williams, Jacob N. Finkelstein, Sandra W. McLeskey and Lurong Zhang. Their work appears in journals such as Advances in experimental medicine and biology, International Journal of Radiation Oncology*Biology*Physics, Cancer Research, Acta Oncologica and Breast Cancer Research and Treatment.

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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