Richard Yu

1.3k total citations
19 papers, 930 citations indexed

About

Richard Yu is a scholar working on Molecular Biology, Cell Biology and Immunology. According to data from OpenAlex, Richard Yu has authored 19 papers receiving a total of 930 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Cell Biology and 4 papers in Immunology. Recurrent topics in Richard Yu's work include Gene Regulatory Network Analysis (8 papers), Single-cell and spatial transcriptomics (4 papers) and Fungal and yeast genetics research (4 papers). Richard Yu is often cited by papers focused on Gene Regulatory Network Analysis (8 papers), Single-cell and spatial transcriptomics (4 papers) and Fungal and yeast genetics research (4 papers). Richard Yu collaborates with scholars based in United States, Canada and Argentina. Richard Yu's co-authors include Alejandro Colman‐Lerner, Roger Brent, Andrew H. Gordon, Kirsten R. Benjamin, Axel T. Brünger, Reinhard Jahn, C. Gustavo Pesce, Youwen Zhou, Xuejun Zhang and David Pincus and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Richard Yu

19 papers receiving 921 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Richard Yu United States 14 654 270 125 110 105 19 930
Narat J. Eungdamrong United States 11 466 0.7× 121 0.4× 50 0.4× 206 1.9× 433 4.1× 12 1.1k
E. Paul Germany 15 182 0.3× 107 0.4× 44 0.4× 168 1.5× 120 1.1× 56 774
Kevin Thurley Germany 15 697 1.1× 169 0.6× 43 0.3× 7 0.1× 287 2.7× 25 1.4k
Ragna Sannerud Belgium 17 635 1.0× 491 1.8× 41 0.3× 8 0.1× 80 0.8× 26 1.2k
Andrea M. Femino United States 9 1.5k 2.3× 157 0.6× 195 1.6× 9 0.1× 129 1.2× 12 2.0k
Sergi Regot United States 18 1.9k 2.9× 284 1.1× 191 1.5× 8 0.1× 151 1.4× 27 2.3k
Daiju Kitagawa Japan 22 1.3k 1.9× 1.1k 4.0× 28 0.2× 18 0.2× 49 0.5× 47 1.6k
Jill C. Sible United States 13 793 1.2× 258 1.0× 42 0.3× 17 0.2× 16 0.2× 27 976
Silvia Santos United Kingdom 15 793 1.2× 192 0.7× 81 0.6× 4 0.0× 251 2.4× 22 1.2k
Chetan Gadgil India 12 447 0.7× 99 0.4× 24 0.2× 26 0.2× 42 0.4× 37 613

Countries citing papers authored by Richard Yu

Since Specialization
Citations

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

Fields of papers citing papers by Richard Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Yu. A scholar is included among the top collaborators of Richard Yu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Richard Yu. Richard Yu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Pesce, C. Gustavo, Stefan Zdraljevic, W. J. Peria, et al.. (2018). Single‐cell profiling screen identifies microtubule‐dependent reduction of variability in signaling. Molecular Systems Biology. 14(4). e7390–e7390. 4 indexed citations
2.
Andrews, Steven S., W. J. Peria, Richard Yu, Alejandro Colman‐Lerner, & Roger Brent. (2016). Push-Pull and Feedback Mechanisms Can Align Signaling System Outputs with Inputs. Cell Systems. 3(5). 444–455.e2. 18 indexed citations
3.
Yu, Richard, Raewyn Broady, Yuanshen Huang, et al.. (2013). Correction: Transcriptome Analysis Reveals Markers of Aberrantly Activated Innate Immunity in Vitiligo Lesional and Non-Lesional Skin. PLoS ONE. 8(7). 4 indexed citations
4.
Yu, Richard, Raewyn Broady, Yuanshen Huang, et al.. (2012). Transcriptome Analysis Reveals Markers of Aberrantly Activated Innate Immunity in Vitiligo Lesional and Non-Lesional Skin. PLoS ONE. 7(12). e51040–e51040. 82 indexed citations
5.
Zhang, Yaohua, Yang Wang, Richard Yu, et al.. (2012). Molecular Markers of Early-Stage Mycosis Fungoides. Journal of Investigative Dermatology. 132(6). 1698–1706. 81 indexed citations
6.
Yu, Richard, Yuanshen Huang, Xuejun Zhang, & Youwen Zhou. (2012). Potential Role of Neurogenic Inflammatory Factors in the Pathogenesis of Vitiligo. Journal of Cutaneous Medicine and Surgery. 16(4). 230–244. 25 indexed citations
7.
Bush, Alan, Ariel Chernomoretz, Richard Yu, Andrew H. Gordon, & Alejandro Colman‐Lerner. (2012). Using Cell‐ID 1.4 with R for Microscope‐Based Cytometry. Current Protocols in Molecular Biology. 100(1). Unit 14.18–Unit 14.18. 18 indexed citations
8.
Denby, Charles M., et al.. (2012). Negative feedback confers mutational robustness in yeast transcription factor regulation. Proceedings of the National Academy of Sciences. 109(10). 3874–3878. 39 indexed citations
9.
Thomson, Ty M., Kirsten R. Benjamin, Alan Bush, et al.. (2011). Scaffold number in yeast signaling system sets tradeoff between system output and dynamic range. Proceedings of the National Academy of Sciences. 108(50). 20265–20270. 43 indexed citations
10.
Wellman‐Labadie, Olivier, Liren Tang, Mingwan Su, et al.. (2011). Collagen Triple Helix Repeat Containing 1 Promotes Melanoma Cell Adhesion and Survival. Journal of Cutaneous Medicine and Surgery. 15(2). 103–110. 32 indexed citations
11.
Yu, Richard, C. Gustavo Pesce, Alejandro Colman‐Lerner, et al.. (2008). Negative feedback that improves information transmission in yeast signalling. Nature. 456(7223). 755–761. 175 indexed citations
12.
Chernomoretz, Ariel, Alan Bush, Richard Yu, Andrew H. Gordon, & Alejandro Colman‐Lerner. (2008). Using Cell‐ID 1.4 with R for Microscope‐Based Cytometry. Current Protocols in Molecular Biology. 84(1). Unit 14.18–Unit 14.18. 15 indexed citations
13.
Burbulis, Ian, Kumiko Yamaguchi, Richard Yu, Orna Resnekov, & Roger Brent. (2007). Quantifying small numbers of antibodies with a 'near-universal' protein-DNA chimera. Nature Methods. 4(12). 1011–1013. 22 indexed citations
14.
Gordon, Andrew H., et al.. (2007). Single-cell quantification of molecules and rates using open-source microscope-based cytometry. Nature Methods. 4(2). 175–181. 173 indexed citations
15.
Crivelli, Silvia, Richard Byrd, Elizabeth Eskow, et al.. (2000). A global optimization strategy for predicting α-helical protein tertiary structure. Computers & Chemistry. 24(3-4). 489–497. 12 indexed citations
16.
Yu, Richard, Reinhard Jahn, & Axel T. Brünger. (1999). NSF N-Terminal Domain Crystal Structure. Molecular Cell. 4(1). 97–107. 105 indexed citations
17.
Fleming, Karen G., Tobias M. Hohl, Richard Yu, et al.. (1998). A Revised Model for the Oligomeric State of the N-Ethylmaleimide-sensitive Fusion Protein, NSF. Journal of Biological Chemistry. 273(25). 15675–15681. 75 indexed citations
18.
Yu, Richard, Phyllis I. Hanson, Reinhard Jahn, & Axel T. Brünger. (1998). Structure of the ATP-dependent oligomerization domain of N-ethylmaleimidesensitive factor complexed with ATP. Nature Structural Biology. 5(10). 924–924. 3 indexed citations
19.
Yu, Richard & Teresa Head‐Gordon. (1995). Neural-network design applied to protein-secondary-structure predictions. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 51(4). 3619–3627. 4 indexed citations

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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