Clinton K. Lau

966 total citations
11 papers, 435 citations indexed

About

Clinton K. Lau is a scholar working on Cell Biology, Molecular Biology and Social Psychology. According to data from OpenAlex, Clinton K. Lau has authored 11 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cell Biology, 5 papers in Molecular Biology and 2 papers in Social Psychology. Recurrent topics in Clinton K. Lau's work include Microtubule and mitosis dynamics (6 papers), Machine Learning in Healthcare (2 papers) and Mental Health via Writing (2 papers). Clinton K. Lau is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Machine Learning in Healthcare (2 papers) and Mental Health via Writing (2 papers). Clinton K. Lau collaborates with scholars based in United Kingdom, Tanzania and Germany. Clinton K. Lau's co-authors include Andrew P. Carter, C. Motz, Ahmet Yıldız, Edgar Morales‐Ríos, Mohamed M. Elshenawy, L. Urnavicius, Christian W. Wang, Jens E. V. Petersen, Matthew K. Higgins and Thor G. Theander and has published in prestigious journals such as Nature, Science and The Journal of Cell Biology.

In The Last Decade

Clinton K. Lau

11 papers receiving 432 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Clinton K. Lau United Kingdom 7 225 220 113 73 44 11 435
Bret B. Beyer United States 4 206 0.9× 244 1.1× 61 0.5× 41 0.6× 18 0.4× 6 508
Jiang He United States 6 107 0.5× 161 0.7× 18 0.2× 100 1.4× 50 1.1× 6 413
Michelle S. Itano United States 12 90 0.4× 275 1.3× 16 0.1× 61 0.8× 46 1.0× 18 472
Rachel Vistein United States 8 276 1.2× 322 1.5× 38 0.3× 62 0.8× 24 0.5× 8 500
Esa‐Pekka Kumpula Finland 11 52 0.2× 220 1.0× 76 0.7× 54 0.7× 23 0.5× 17 402
Lauren M. Goins United States 7 150 0.7× 145 0.7× 44 0.4× 198 2.7× 12 0.3× 9 406
Alexandre D. Baffet France 13 332 1.5× 373 1.7× 73 0.6× 15 0.2× 57 1.3× 18 591
Tommaso Cavazza Spain 11 211 0.9× 333 1.5× 152 1.3× 18 0.2× 97 2.2× 16 541
Bernhard Hampoelz Austria 11 181 0.8× 543 2.5× 16 0.1× 15 0.2× 40 0.9× 14 681
Nele Tamberg Estonia 9 61 0.3× 441 2.0× 85 0.8× 45 0.6× 119 2.7× 10 578

Countries citing papers authored by Clinton K. Lau

Since Specialization
Citations

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

Fields of papers citing papers by Clinton K. Lau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Clinton K. Lau

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

All Works

11 of 11 papers shown
1.
Lau, Clinton K., et al.. (2024). Molecular mechanism of dynein-dynactin complex assembly by LIS1. Science. 383(6690). eadk8544–eadk8544. 25 indexed citations
2.
Chaaban, Sami, et al.. (2024). AI told you so: navigating protein structure prediction in the era of machine learning. The Biochemist. 46(2). 7–12. 3 indexed citations
3.
Lau, Clinton K.. (2023). Reconstitution of Dynein/Dynactin Transport Using Recombinant Dynein. Methods in molecular biology. 2623. 135–156. 3 indexed citations
4.
Lau, Clinton K., Xiaodan Zhu, & Wai-Yip Chan. (2023). Automatic depression severity assessment with deep learning using parameter-efficient tuning. Frontiers in Psychiatry. 14. 1160291–1160291. 14 indexed citations
5.
Lau, Clinton K., Manickam Gurusaran, Gavin S. McNee, et al.. (2023). The meiotic LINC complex component KASH5 is an activating adaptor for cytoplasmic dynein. The Journal of Cell Biology. 222(5). 11 indexed citations
6.
Mali, Girish R., Ferdos Abid Ali, Clinton K. Lau, et al.. (2021). Shulin packages axonemal outer dynein arms for ciliary targeting. Science. 371(6532). 910–916. 35 indexed citations
7.
Lau, Clinton K., Francis J. O’Reilly, Balaji Santhanam, et al.. (2021). Cryo‐EM reveals the complex architecture of dynactin's shoulder region and pointed end. The EMBO Journal. 40(8). e106164–e106164. 21 indexed citations
8.
Lau, Clinton K., Wai-Yip Chan, & Xiaodan Zhu. (2021). Improving Depression Assessment With Multi-Task Learning From Speech and Text Information. 2021 55th Asilomar Conference on Signals, Systems, and Computers. 449–453. 4 indexed citations
9.
Lau, Clinton K., Louise Turner, G. M. Watson, et al.. (2021). Structure-Guided Design of a Synthetic Mimic of an Endothelial Protein C Receptor-Binding PfEMP1 Protein. mSphere. 6(1). 4 indexed citations
10.
Urnavicius, L., Clinton K. Lau, Mohamed M. Elshenawy, et al.. (2018). Cryo-EM shows how dynactin recruits two dyneins for faster movement. Nature. 554(7691). 202–206. 185 indexed citations
11.
Lau, Clinton K., Louise Turner, Jakob S. Jespersen, et al.. (2014). Structural Conservation Despite Huge Sequence Diversity Allows EPCR Binding by the PfEMP1 Family Implicated in Severe Childhood Malaria. Cell Host & Microbe. 17(1). 118–129. 130 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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Rankless by CCL
2026