Yohendran Baskaran

429 total citations
9 papers, 330 citations indexed

About

Yohendran Baskaran is a scholar working on Molecular Biology, Cell Biology and Materials Chemistry. According to data from OpenAlex, Yohendran Baskaran has authored 9 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Cell Biology and 4 papers in Materials Chemistry. Recurrent topics in Yohendran Baskaran's work include Enzyme Structure and Function (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Ubiquitin and proteasome pathways (2 papers). Yohendran Baskaran is often cited by papers focused on Enzyme Structure and Function (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Ubiquitin and proteasome pathways (2 papers). Yohendran Baskaran collaborates with scholars based in Singapore, France and United Kingdom. Yohendran Baskaran's co-authors include Ed Manser, Robert Robinson, Jonathan M. Grimes, Edward Manser, Praju Vikas Anekal, Louis Lim, Laurent Blanchoin, Rong Li, Linh T. Tran and Zhuo-shen Zhao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Molecular Cell.

In The Last Decade

Yohendran Baskaran

9 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yohendran Baskaran Singapore	9	267	98	92	43	27	9	330
Michael A. White United States	5	388 1.5×	88 0.9×	108 1.2×	11 0.3×	27 1.0×	5	465
Aaron J. Cantor United States	7	322 1.2×	113 1.2×	50 0.5×	14 0.3×	59 2.2×	10	453
Sucan Ma China	8	259 1.0×	39 0.4×	56 0.6×	14 0.3×	20 0.7×	14	327
Eva Rosenbaum Germany	8	331 1.2×	57 0.6×	89 1.0×	17 0.4×	12 0.4×	13	423
Nicholas W. Ashton Australia	12	379 1.4×	83 0.8×	34 0.4×	15 0.3×	59 2.2×	25	477
Laura M. Nocka United States	8	227 0.9×	22 0.2×	55 0.6×	16 0.4×	11 0.4×	9	298
Azusa Seto Japan	8	253 0.9×	36 0.4×	189 2.1×	12 0.3×	22 0.8×	12	391
Mark Jelcic United States	7	195 0.7×	35 0.4×	117 1.3×	8 0.2×	11 0.4×	9	332
Poki Wong United States	13	344 1.3×	68 0.7×	28 0.3×	11 0.3×	10 0.4×	13	396
Yeap Ng Australia	7	198 0.7×	53 0.5×	43 0.5×	17 0.4×	4 0.1×	14	310

Countries citing papers authored by Yohendran Baskaran

Since Specialization

Citations

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

Fields of papers citing papers by Yohendran Baskaran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yohendran Baskaran

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

All Works

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9 of 9 papers shown

Tran, Linh T., Yohendran Baskaran, Yosuke Senju, et al.. (2022). Structural and biochemical evidence for the emergence of a calcium-regulated actin cytoskeleton prior to eukaryogenesis. Communications Biology. 5(1). 890–890. 8 indexed citations

Baskaran, Yohendran, et al.. (2021). Proximity proteomics identifies PAK4 as a component of Afadin–Nectin junctions. Nature Communications. 12(1). 5315–5315. 10 indexed citations

Tran, Linh T., et al.. (2020). Insights into the evolution of regulated actin dynamics via characterization of primitive gelsolin/cofilin proteins from Asgard archaea. Proceedings of the National Academy of Sciences. 117(33). 19904–19913. 39 indexed citations

Baskaran, Yohendran, et al.. (2015). An in cellulo-derived structure of PAK4 in complex with its inhibitor Inka1. Nature Communications. 6(1). 8681–8681. 55 indexed citations

Baskaran, Yohendran, et al.. (2015). The Cdc42 Effector Kinase PAK4 Localizes to Cell-Cell Junctions and Contributes to Establishing Cell Polarity. PLoS ONE. 10(6). e0129634–e0129634. 28 indexed citations

Wang, Wei, Liangzhong Lim, Yohendran Baskaran, Ed Manser, & Jianxing Song. (2013). NMR binding and crystal structure reveal that intrinsically-unstructured regulatory domain auto-inhibits PAK4 by a mechanism different from that of PAK1. Biochemical and Biophysical Research Communications. 438(1). 169–174. 19 indexed citations

Baskaran, Yohendran, et al.. (2012). Group I and II mammalian PAKs have different modes of activation by Cdc42. EMBO Reports. 13(7). 653–659. 92 indexed citations

Chan, Perry M., et al.. (2010). Why an A-Loop Phospho-Mimetic Fails to Activate PAK1: Understanding an Inaccessible Kinase State by Molecular Dynamics Simulations. Structure. 18(7). 879–890. 35 indexed citations

Zhao, Zhuo-shen, et al.. (2010). A Functional Requirement for PAK1 Binding to the KH(2) Domain of the Fragile X Protein-Related FXR1. Molecular Cell. 38(2). 236–249. 44 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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