Y K Yip

3.5k citations
43 papers · 3.2k · h-index 24

Impact in

  • Immunology top 1%
    • interferon and immune responses
    • Immune Response and Inflammation
    • T-cell and B-cell Immunology
  • Oncology top 5%
    • Cytokine Signaling Pathways and Interactions
    • Chemokine receptors and signaling

Papers in

    • interferon and immune responses 25
    • Immunotherapy and Immune Responses 4
    • Immune Cell Function and Interaction 2
    • Cytokine Signaling Pathways and Interactions 10

Y K Yip

42 papers receiving 2.6k citations

Peers

Y K Yip
Comparison fields: 5 of 90
  • Immunology 1.5k
  • Oncology 717
  • Immunology and Allergy 110
  • Cell Biology 227
  • Cancer Research 174
Replace Hiro Wakasugi with:
Hiro Wakasugi Japan
Ming‐Zong Lai Taiwan
Hanspeter Waldner United States
Michael B. Widmer United States
Paolo Monti Italy
Ian K. Campbell Australia
Zohair Mishal France
Françoise Porteu France
Juli Unternaehrer United States
Per H. Basse United States
Y K Yip relative to Hiro Wakasugi Japan Hiro Wakasugi's profile →
Citations per field
00.5×2×3.0×
Hiro Wakasugi · 1×
Citations per year

Countries citing papers authored by Y K Yip

Since Specialization
Citations

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

Fields of papers citing papers by Y K Yip

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1989405
2 1985402
3 1988265
4 1986259
5 1983196
6 1984172
7 1982148
8 1981131
9 1972111
10 1983100
11 198291
12 198281
13 197375
14 197873
15 198164
16 198363
17 198453
18 197952
19 197751
20 198451

About Y K Yip

Y K Yip is a scholar working on Immunology, Oncology, Biochemistry, Cell Biology and Cardiology and Cardiovascular Medicine, having authored 43 papers that have together received 3.2k indexed citations. Recurring topics across this work include interferon and immune responses (25 papers), Cytokine Signaling Pathways and Interactions (10 papers), Lipid metabolism and disorders (4 papers), Hemoglobin structure and function (4 papers), Lipid metabolism and biosynthesis (4 papers), Immunotherapy and Immune Responses (4 papers), Systemic Lupus Erythematosus Research (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Immunology (1.5k citations), Oncology (717 citations), Immunology and Allergy (110 citations), Cell Biology (227 citations) and Cancer Research (174 citations). Y K Yip has collaborated with scholars based in United States and Japan. Frequent co-authors include J Vilček, Masafumi Tsujimoto, Paul Anderson, Sherman Beychok, Marcel Waks, Carl M. Urban, Junming Le, J X Lin, Roy H. L. Pang and Hanna Chroboczek Kelker. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Immunology, Methods in enzymology on CD-ROM/Methods in enzymology and Science.

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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