C. Ron Yu

39 papers receiving 1.4k citations

Peers

C. Ron Yu
Comparison fields: 5 of 105
  • Sensory Systems 545
  • Cellular and Molecular Neuroscience 518
  • Nutrition and Dietetics 348
  • Oncology 276
  • Developmental Neuroscience 30
Replace Chantal M. Longo-Guess with:
Chantal M. Longo-Guess United States
Ariel J. Caride United States
Akira Futatsugi Japan
Michiel Langeslag Austria
Mark P. Gray-Keller United States
Akira Tohgo Japan
Sindhu Rajan United States
Karen Jansen United States
Karen Schrader United States
Konstantinos Lefkimmiatis Italy
C. Ron Yu relative to Chantal M. Longo-Guess United States Chantal M. Longo-Guess's profile →
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Citations per year

Countries citing papers authored by C. Ron Yu

Since Specialization
Citations

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

Fields of papers citing papers by C. Ron Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015279
2 2005110
3 2013107
4 201472
5 201270
6 201468
7 201067
8 201756
9 200953
10 202051
11 201150
12 201548
13 201341
14 200840
15 201638
16 201035
17 201831
18 201629
19 202122
20 200522

About C. Ron Yu

C. Ron Yu is a scholar working on Sensory Systems, Cellular and Molecular Neuroscience, Nutrition and Dietetics, Molecular Biology and Oncology, having authored 41 papers that have together received 1.5k indexed citations. Recurring topics across this work include Olfactory and Sensory Function Studies (22 papers), Neurobiology and Insect Physiology Research (17 papers), Biochemical Analysis and Sensing Techniques (15 papers), Cancer Cells and Metastasis (3 papers), Caveolin-1 and cellular processes (3 papers), Single-cell and spatial transcriptomics (2 papers), Cancer Diagnosis and Treatment (2 papers) and Molecular Biology Techniques and Applications (2 papers). The work is most often cited by research in Sensory Systems (545 citations), Cellular and Molecular Neuroscience (518 citations), Nutrition and Dietetics (348 citations), Oncology (276 citations) and Developmental Neuroscience (30 citations). C. Ron Yu has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Limei Ma, Rick T. Dobrowsky, Qiang Qiu, Michail A. Alterman, Xiang H.-F. Zhang, Sang Seong Kim, Aaron M. Muscarella, Hai Wang, Thomas Welte and C. Kent Osborne. Their work appears in journals such as eLife, PLoS ONE, Proceedings of the National Academy of Sciences, Journal of Visualized Experiments and Current Biology.

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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