Chan Aye Thu

1.7k total citations · 1 hit paper
10 papers, 1.2k citations indexed

About

Chan Aye Thu is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Chan Aye Thu has authored 10 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Chan Aye Thu's work include Axon Guidance and Neuronal Signaling (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Bioinformatics and Genomic Networks (2 papers). Chan Aye Thu is often cited by papers focused on Axon Guidance and Neuronal Signaling (4 papers), Wnt/β-catenin signaling in development and cancer (4 papers) and Bioinformatics and Genomic Networks (2 papers). Chan Aye Thu collaborates with scholars based in United States, Denmark and Singapore. Chan Aye Thu's co-authors include Tom Maniatis, Barry Honig, Lawrence Shapiro, Rotem Rubinstein, Brygida Bisikirska, Domenico Accili, Yu Shi, Céline Lefèbvre, Donald Petrey and Tony Hunter and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Chan Aye Thu

10 papers receiving 1.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Structure-based prediction of protein–protein interactions on a genome-wide scale

2012 527 citations Qiangfeng Cliff Zhang, Donald Petrey et al. Nature profile →

Peers

Chan Aye Thu

MB

CMN

CTM

CB

IMMUN

Umesh Ghoshdastider Singapore

Shawn K. Milano United States

Christian Sirrenberg Germany

Onur Dağliyan United States

Pawel Smialowski Germany

Jens Kleinjung United Kingdom

David W. Colby United States

Marcin Paduch United States

Chad L. Moore United States

Eduard Stefan Austria

Umesh Ghoshdastider Singapore

Chan Aye Thu

1.0k ×1.0

MB

239 ×1.0

CMN

62 ×0.4

CTM

181 ×1.1

CB

80 ×0.7

IMMUN

Citations per year, relative to Chan Aye Thu Chan Aye Thu (= 1×) peers Umesh Ghoshdastider

Countries citing papers authored by Chan Aye Thu

Since Specialization

Citations

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

Fields of papers citing papers by Chan Aye Thu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Aye Thu. 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 Chan Aye Thu. The network helps show where Chan Aye Thu may publish in the future.

Co-authorship network of co-authors of Chan Aye Thu

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Goodman, K.M., Rotem Rubinstein, Hanbin Dan, et al.. (2017). Protocadherin cis -dimer architecture and recognition unit diversity. Proceedings of the National Academy of Sciences. 114(46). E9829–E9837. 46 indexed citations

2.

Goodman, K.M., Rotem Rubinstein, Chan Aye Thu, et al.. (2016). Structural Basis of Diverse Homophilic Recognition by Clustered α- and β-Protocadherins. Neuron. 90(4). 709–723. 76 indexed citations

3.

Goodman, K.M., Rotem Rubinstein, Chan Aye Thu, et al.. (2016). γ-Protocadherin structural diversity and functional implications. eLife. 5. 48 indexed citations

4.

Rubinstein, Rotem, Chan Aye Thu, K.M. Goodman, et al.. (2015). Molecular Logic of Neuronal Self-Recognition through Protocadherin Domain Interactions. Cell. 163(3). 629–642. 122 indexed citations

5.

Thu, Chan Aye, Weisheng V. Chen, Rotem Rubinstein, et al.. (2014). Single-Cell Identity Generated by Combinatorial Homophilic Interactions between α, β, and γ Protocadherins. Cell. 158(5). 1045–1059. 160 indexed citations

6.

Zhang, Qiangfeng Cliff, Donald Petrey, Lei Deng, et al.. (2013). Correction: Corrigendum: Structure-based prediction of protein–protein interactions on a genome-wide scale. Nature. 495(7439). 127–127. 5 indexed citations

7.

Dai, Liang, et al.. (2012). TAK1, more than just innate immunity. IUBMB Life. 64(10). 825–834. 148 indexed citations

8.

Chen, Weisheng V., Francisco J. Álvarez, Julie L. Lefebvre, et al.. (2012). Functional Significance of Isoform Diversification in the Protocadherin Gamma Gene Cluster. Neuron. 75(5). 928–929. 2 indexed citations

9.

Zhang, Qiangfeng Cliff, Donald Petrey, Lei Deng, et al.. (2012). Structure-based prediction of protein–protein interactions on a genome-wide scale. Nature. 490(7421). 556–560. 527 indexed citations breakdown →

10.

Álvarez, Francisco J., Julie L. Lefebvre, Brad A. Friedman, et al.. (2012). Functional Significance of Isoform Diversification in the Protocadherin Gamma Gene Cluster. Neuron. 75(3). 402–409. 88 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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