Robert K. Yu

20.7k citations
391 papers · 17.0k indexed · 2 hit papers · h-index 62

Impact in

Papers in

Robert K. Yu

387 papers receiving 16.5k citations

Hit Papers

[10] Gangliosides: Structure, isolation, and analysis 1982 · 624 citations
6241973202619902008200400600

Peers

Robert K. Yu
Comparison fields: 5 of 151
  • Developmental Neuroscience 827
  • Molecular Biology 12.3k
  • Cell Biology 2.8k
  • Neurology 2.3k
  • Immunology 2.7k
Replace Ronald L. Schnaar with:
Ronald L. Schnaar United States
Yoshihide Tsujimoto Japan
Jean‐Claude Martinou Switzerland
Yoshio Hirabayashi Japan
Junmin Peng United States
Brian A. Hemmings Switzerland
Koji Takio Japan
Sandro Sonnino Italy
Akihiro Iwamatsu Japan
David C. Chan United States
Robert K. Yu relative to Ronald L. Schnaar United States Ronald L. Schnaar's profile →
Citations per field
00.5×1.5×2.2×
Ronald L. Schnaar · 1×
Citations per year

Countries citing papers authored by Robert K. Yu

Since Specialization
Citations

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

Fields of papers citing papers by Robert K. Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20259
2 20250
3 20240
4 20236
5 20238
6 202315
7 202110
8 202024
9 202021
10 20209
11 201910
12 201032
13 201010
14 201052
15 20036
16 20005
17
Sphingolipids as signaling modulators in the nervous system
199828
18 1994143
19 198752
20
[10] Gangliosides: Structure, isolation, and analysis
Hit paper breakdown →
1982624

About Robert K. Yu

Robert K. Yu is a scholar working on Developmental Neuroscience, Neurology, Molecular Biology, Cell Biology and Immunology, having authored 391 papers that have together received 17.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (222 papers), Carbohydrate Chemistry and Synthesis (60 papers), Peripheral Neuropathies and Disorders (39 papers), Galectins and Cancer Biology (37 papers), Sphingolipid Metabolism and Signaling (33 papers), Caveolin-1 and cellular processes (33 papers), Monoclonal and Polyclonal Antibodies Research (30 papers) and Lipid Membrane Structure and Behavior (29 papers). The work is most often cited by research in Developmental Neuroscience (827 citations), Molecular Biology (12.3k citations), Cell Biology (2.8k citations), Neurology (2.3k citations) and Immunology (2.7k citations). Robert K. Yu has collaborated with scholars based in United States, Japan and Argentina. Frequent co-authors include Robert W. Ledeen, Toshio Ariga, Thomas N. Seyfried, Makoto Yanagisawa, Shinji Ando, Guichao Zeng, Lawrence J. Macala, Lawrence F. Eng, Bruno Maggio and James H. Prestegard. Their work appears in journals such as Journal of Neurochemistry, Journal of Biological Chemistry, Journal of Lipid Research, Biochemistry and Neurochemical Research.

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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