Richard G. Yau

1.7k total citations · 1 hit paper
8 papers, 1.3k citations indexed

About

Richard G. Yau is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Richard G. Yau has authored 8 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Richard G. Yau's work include Microtubule and mitosis dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cellular transport and secretion (2 papers). Richard G. Yau is often cited by papers focused on Microtubule and mitosis dynamics (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Cellular transport and secretion (2 papers). Richard G. Yau collaborates with scholars based in United States, Portugal and Israel. Richard G. Yau's co-authors include Michael Rapé, Lois S. Weisman, Vishva M. Dixit, X. William Yang, Diane L. Haakonsen, Nadia Martinez-Martín, M Matsumoto, Achim Werner, Nan Wang and Mingkun Zhao and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and The Journal of Cell Biology.

In The Last Decade

Richard G. Yau

7 papers receiving 1.2k citations

Hit Papers

The increasing complexity of the ubiquitin code 2016 2026 2019 2022 2016 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard G. Yau United States 7 1.1k 268 264 263 155 8 1.3k
Manuel Kaulich Germany 22 1.6k 1.5× 298 1.1× 455 1.7× 382 1.5× 164 1.1× 45 2.1k
Eberhard Krausz Germany 14 930 0.9× 107 0.4× 276 1.0× 250 1.0× 100 0.6× 20 1.3k
Martin A. Michel United Kingdom 7 770 0.7× 422 1.6× 128 0.5× 219 0.8× 87 0.6× 8 944
María-Isabel Yuseff Chile 19 542 0.5× 179 0.7× 445 1.7× 114 0.4× 708 4.6× 36 1.5k
Kenneth Robzyk Israel 11 1.4k 1.4× 225 0.8× 199 0.8× 286 1.1× 45 0.3× 12 1.7k
Deirdre C. Lawe United States 12 1.1k 1.1× 107 0.4× 660 2.5× 187 0.7× 129 0.8× 13 1.5k
Alexander Y. Amerik United States 15 1.8k 1.7× 438 1.6× 676 2.6× 479 1.8× 110 0.7× 22 2.1k
Rebecca Konietzny United Kingdom 19 1.0k 1.0× 118 0.4× 115 0.4× 344 1.3× 126 0.8× 28 1.3k
Yonathan Lissanu Deribe United States 8 1.2k 1.1× 134 0.5× 158 0.6× 346 1.3× 390 2.5× 12 1.5k
J.M. Peters Germany 9 873 0.8× 171 0.6× 369 1.4× 209 0.8× 96 0.6× 9 1.1k

Countries citing papers authored by Richard G. Yau

Since Specialization
Citations

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

Fields of papers citing papers by Richard G. Yau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard G. Yau

This figure shows the co-authorship network connecting the top 25 collaborators of Richard G. Yau. A scholar is included among the top collaborators of Richard G. Yau 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 G. Yau. Richard G. Yau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Hepowit, Nathaniel L., Sarah A. Port, Richard G. Yau, et al.. (2020). Cargo Release from Myosin V Requires the Convergence of Parallel Pathways that Phosphorylate and Ubiquitylate the Cargo Adaptor. Current Biology. 30(22). 4399–4412.e7. 9 indexed citations
2.
Yau, Richard G., et al.. (2017). Spatial regulation of organelle release from myosin V transport by p21-activated kinases. The Journal of Cell Biology. 216(6). 1557–1566. 12 indexed citations
3.
Yau, Richard G., Diane L. Haakonsen, Achim Werner, et al.. (2017). Assembly and Function of Heterotypic Ubiquitin Chains in Cell-Cycle and Protein Quality Control. Cell. 171(4). 918–933.e20. 232 indexed citations
4.
Yau, Richard G. & Michael Rapé. (2016). The increasing complexity of the ubiquitin code. Nature Cell Biology. 18(6). 579–586. 784 indexed citations breakdown →
5.
Yau, Richard G., Yutian Peng, Rajeshwari R. Valiathan, et al.. (2014). Release from Myosin V via Regulated Recruitment of an E3 Ubiquitin Ligase Controls Organelle Localization. Developmental Cell. 28(5). 520–533. 25 indexed citations
6.
Li, Xinran, Xiang Wang, Xiaoli Zhang, et al.. (2013). Genetically encoded fluorescent probe to visualize intracellular phosphatidylinositol 3,5-bisphosphate localization and dynamics. Proceedings of the National Academy of Sciences. 110(52). 21165–21170. 116 indexed citations
7.
Bershteyn, Anna, Richard G. Yau, Mikyung Kim, et al.. (2008). Polymer-supported lipid shells, onions, and flowers. Soft Matter. 4(9). 1787–1787. 75 indexed citations
8.
Yau, Richard G.. (1998). Securities investment practice in Hong Kong. Medical Entomology and Zoology. 1 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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