Johnson H.Y. Yip

479 citations
12 papers · 394 · h-index 12

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 3
    • Signaling Pathways in Disease 1
    • Cancer, Lipids, and Metabolism 5
    • NF-κB Signaling Pathways 2

Johnson H.Y. Yip

12 papers receiving 384 citations

Peers

Johnson H.Y. Yip
Comparison fields: 5 of 66
  • Biochemistry 39
  • Cancer Research 80
  • Cardiology and Cardiovascular Medicine 106
  • Pharmacology 52
  • Surgery 119
Replace Xiaoju Li with:
Xiaoju Li China
Chin Fung Kelvin Kan United States
Yihong Cao China
R. S. Lees United States
Yi-Ning Dai China
Jonathan C. Jaoude United States
Marilena Castelli Italy
Eiko Imamoto Japan
L.F. Watson Australia
Martina Barbara Schaefer Germany
Johnson H.Y. Yip relative to Xiaoju Li China Xiaoju Li's profile →
Citations per field
00.5×3.7×
Xiaoju Li · 1×
Citations per year

Countries citing papers authored by Johnson H.Y. Yip

Since Specialization
Citations

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

Fields of papers citing papers by Johnson H.Y. Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johnson H.Y. 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 Johnson H.Y. Yip. The network helps show where Johnson H.Y. Yip may publish in the future.

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004115
2 200144
3 201038
4 200332
5 200830
6 200728
7 200522
8 200220
9 201019
10 200617
11 200915
12 200914

About Johnson H.Y. Yip

Johnson H.Y. Yip is a scholar working on Molecular Biology, Cancer Research, Pharmacology, Surgery and Biochemistry, having authored 12 papers that have together received 394 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (5 papers), Cardiac and Coronary Surgery Techniques (3 papers), Eicosanoids and Hypertension Pharmacology (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Inflammatory mediators and NSAID effects (3 papers), NF-κB Signaling Pathways (2 papers), Coronary Interventions and Diagnostics (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Biochemistry (39 citations), Cancer Research (80 citations), Cardiology and Cardiovascular Medicine (106 citations), Pharmacology (52 citations) and Surgery (119 citations). Johnson H.Y. Yip has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Anthony P.C. Yim, George G. Chen, Tony Mok, Song Wan, Ahmed A. Arifi, Kin Hoi Thung, Alan D. L. Sihoe, Innes Y.P. Wan, Eric Wong and Malcolm J. Underwood. Their work appears in journals such as European Journal of Cancer, American Journal of Respiratory Cell and Molecular Biology, Journal of Thoracic and Cardiovascular Surgery, Cancer and International Journal of Cardiology.

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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