George W. Yip

3.1k citations
72 papers · 2.2k · h-index 22

Impact in

    • Proteoglycans and glycosaminoglycans research
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

George W. Yip

68 papers receiving 2.1k citations

Peers

George W. Yip
Comparison fields: 5 of 139
  • Cell Biology 650
  • Cancer Research 491
  • Immunology and Allergy 156
  • Molecular Biology 1.1k
  • Oncology 359
Replace Arumugam Jayakumar with:
Arumugam Jayakumar United States
Sandra Marmiroli Italy
Jan‐Olof Winberg Norway
Mary C. Weiss France
Bramanandam Manavathi India
Marc Lacroix Belgium
Nobuo Ogawa Japan
Kerry Tyson United Kingdom
Mauro S.G. Pavão Brazil
Kasper Thorsen Denmark
George W. Yip relative to Arumugam Jayakumar United States Arumugam Jayakumar's profile →
Citations per field
00.5×1.7×
Arumugam Jayakumar · 1×
Citations per year

Countries citing papers authored by George W. Yip

Since Specialization
Citations

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

Fields of papers citing papers by George W. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George W. Yip. 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 George W. Yip. The network helps show where George W. Yip may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006301
2 2006207
3 2010179
4 2009157
5 2012133
6 2004118
7 201789
8 201175
9
Heat shock proteins as novel therapeutic targets in cancer.
200867
10 200565
11 200759
12 197558
13 200756
14 200743
15 201538
16 200232
17 202027
18 202024
19 200824
20 200822

About George W. Yip

George W. Yip is a scholar working on Molecular Biology, Cell Biology, Food Science, Oncology and Cancer Research, having authored 72 papers that have together received 2.2k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (14 papers), Pesticide Residue Analysis and Safety (10 papers), Analytical Chemistry and Chromatography (6 papers), Trace Elements in Health (6 papers), Cancer Cells and Metastasis (5 papers), Pesticide and Herbicide Environmental Studies (5 papers), Glycosylation and Glycoproteins Research (5 papers) and Cell Adhesion Molecules Research (4 papers). The work is most often cited by research in Cell Biology (650 citations), Cancer Research (491 citations), Immunology and Allergy (156 citations), Molecular Biology (1.1k citations) and Oncology (359 citations). George W. Yip has collaborated with scholars based in Singapore, United States and Germany. Frequent co-authors include Martin Götte, Martin Smollich, Boon‐Huat Bay, Ludwig Kiesel, Chuay-Yeng Koo, Sherif Ibrahim, James L. Casterline, Christian Stock, Reinhard Kelsch and Dorothe Spillmann. Their work appears in journals such as Breast Cancer Research and Treatment, Recent Patents on Anti-Cancer Drug Discovery, Cancer Research, International Journal of Molecular Medicine and Oncogene.

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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