George W. Yip

3.0k citations
71 papers · 2.2k · h-index 23

Impact in

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

Papers in

George W. Yip

68 papers receiving 2.2k citations

Peers

George W. Yip
Comparison fields: 5 of 142
  • Cell Biology 642
  • Cancer Research 424
  • Immunology and Allergy 133
  • Molecular Biology 988
  • Oncology 293
Replace Arumugam Jayakumar with:
Arumugam Jayakumar United States
Tim H. Holmström Finland
Nobuo Ogawa Japan
Mary C. Weiss France
Marc Lacroix Belgium
Kerry Tyson United Kingdom
Toshinori Ide Japan
Hartmut M. Hanauske‐Abel United States
Yiqun G. Shellman United States
Mauro S.G. Pavão Brazil
George W. Yip relative to Arumugam Jayakumar United States Arumugam Jayakumar's profile →
Citations per field
00.5×1.6×
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 71 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006308
2 2006223
3 2010187
4 2009163
5 2012137
6 2004120
7 201790
8
Heat shock proteins as novel therapeutic targets in cancer.
200871
9 197571
10 200570
11 200761
12 200757
13 200746
14 201542
15 200232
16 202031
17 196127
18 202025
19 200824
20 201124

About George W. Yip

George W. Yip is a scholar working on Cell Biology, Molecular Biology, Food Science, Oncology and Pollution, having authored 71 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), Glycosylation and Glycoproteins Research (5 papers), Cancer Cells and Metastasis (5 papers), Pesticide and Herbicide Environmental Studies (5 papers) and Connective tissue disorders research (4 papers). The work is most often cited by research in Cell Biology (642 citations), Cancer Research (424 citations), Immunology and Allergy (133 citations), Molecular Biology (988 citations) and Oncology (293 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, Sherif Ibrahim, James L. Casterline, Chuay-Yeng Koo, Christian Stock, Reinhard Kelsch and P Wülfing. Their work appears in journals such as Breast Cancer Research and Treatment, Oncogene, Cancer Research, International Journal of Molecular Medicine and Recent Patents on Anti-Cancer Drug Discovery.

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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