Dileep Varma

1.5k total citations
28 papers, 1.1k citations indexed

About

Dileep Varma is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Dileep Varma has authored 28 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 26 papers in Cell Biology and 4 papers in Plant Science. Recurrent topics in Dileep Varma's work include Microtubule and mitosis dynamics (26 papers), Genomics and Chromatin Dynamics (9 papers) and DNA Repair Mechanisms (8 papers). Dileep Varma is often cited by papers focused on Microtubule and mitosis dynamics (26 papers), Genomics and Chromatin Dynamics (9 papers) and DNA Repair Mechanisms (8 papers). Dileep Varma collaborates with scholars based in United States, Belgium and Germany. Dileep Varma's co-authors include Richard B. Vallee, John C. Williams, Edward D. Salmon, Xiaohu Wan, Denis Dujardin, Arshad Desai, Reto Gassmann, Pascale Monzo, Karen Oegema and Andrew J. Holland and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.

In The Last Decade

Dileep Varma

28 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dileep Varma United States 13 855 812 117 93 77 28 1.1k
James G. Wakefield United Kingdom 18 1.0k 1.2× 797 1.0× 194 1.7× 92 1.0× 92 1.2× 35 1.2k
Е. С. Надеждина Russia 19 977 1.1× 815 1.0× 126 1.1× 95 1.0× 80 1.0× 63 1.3k
Ming-Ying Tsai United States 14 908 1.1× 703 0.9× 117 1.0× 54 0.6× 155 2.0× 18 1.1k
Ahna R. Skop United States 16 1.0k 1.2× 966 1.2× 148 1.3× 93 1.0× 46 0.6× 27 1.5k
Yves Bobinnec France 10 754 0.9× 695 0.9× 82 0.7× 155 1.7× 59 0.8× 13 955
Nicholas J Quintyne United States 8 856 1.0× 953 1.2× 55 0.5× 109 1.2× 128 1.7× 9 1.1k
Daniel W. Buster United States 19 1.1k 1.2× 1.1k 1.4× 251 2.1× 138 1.5× 116 1.5× 30 1.4k
Jakub K. Famulski United States 14 553 0.6× 361 0.4× 89 0.8× 105 1.1× 83 1.1× 29 731
Florence Janody Portugal 19 881 1.0× 567 0.7× 98 0.8× 79 0.8× 100 1.3× 31 1.2k
Claudia Wurzenberger Switzerland 6 920 1.1× 727 0.9× 131 1.1× 54 0.6× 139 1.8× 7 1.1k

Countries citing papers authored by Dileep Varma

Since Specialization
Citations

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

Fields of papers citing papers by Dileep Varma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dileep Varma

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

All Works

20 of 20 papers shown
1.
Chakravarthy, Srinivas, Manas Chakraborty, Marco Tonelli, et al.. (2024). SEC‐SAXS/MC Ensemble Structural Studies of the Microtubule Binding Protein Cdt1 Show Monomeric, Folded‐Over Conformations. Cytoskeleton. 82(6). 372–387. 1 indexed citations
2.
Varma, Dileep, et al.. (2024). Real time performance assessment of utility grid interfaced solar photovoltaic plant. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(2). 1323–1323. 1 indexed citations
3.
Chakraborty, Manas, et al.. (2023). The Ndc80-Cdt1-Ska1 complex is a central processive kinetochore–microtubule coupling unit. The Journal of Cell Biology. 222(8). 1 indexed citations
4.
Chakraborty, Manas, et al.. (2022). In Vitro and In Vivo Approaches to Study Kinetochore-Microtubule Attachments During Mitosis. Methods in molecular biology. 2415. 123–138. 2 indexed citations
5.
Chakraborty, Manas, et al.. (2020). Kinetochore–microtubule coupling mechanisms mediated by the Ska1 complex and Cdt1. Essays in Biochemistry. 64(2). 337–347. 3 indexed citations
6.
Amin, Mohammed A., et al.. (2019). Computational model demonstrates that Ndc80‐associated proteins strengthen kinetochore‐microtubule attachments in metaphase. Cytoskeleton. 76(11-12). 549–561. 6 indexed citations
7.
Amin, Mohammed A., Shivangi Agarwal, & Dileep Varma. (2019). Mapping the kinetochore MAP functions required for stabilizing microtubule attachments to chromosomes during metaphase. Cytoskeleton. 76(6). 398–412. 7 indexed citations
8.
Amin, Mohammed A., Richard J. McKenney, & Dileep Varma. (2018). Antagonism between the dynein and Ndc80 complexes at kinetochores controls the stability of kinetochore–microtubule attachments during mitosis. Journal of Biological Chemistry. 293(16). 5755–5765. 12 indexed citations
9.
Agarwal, Shivangi, et al.. (2018). Cdt1 stabilizes kinetochore–microtubule attachments via an Aurora B kinase–dependent mechanism. The Journal of Cell Biology. 217(10). 3446–3463. 17 indexed citations
10.
11.
Varma, Dileep, et al.. (2015). Cell Division: Molecular Pathways for KMN Kinetochore Recruitment. Current Biology. 25(8). R332–R335. 2 indexed citations
12.
Grant, Gavin D., Etsuko Shibata, Anindya Dutta, et al.. (2015). Sequential replication-coupled destruction at G1/S ensures genome stability. Genes & Development. 29(16). 1734–1746. 44 indexed citations
13.
Rizzardi, Lindsay F., et al.. (2014). CDK1-dependent Inhibition of the E3 Ubiquitin Ligase CRL4CDT2 Ensures Robust Transition from S Phase to Mitosis. Journal of Biological Chemistry. 290(1). 556–567. 28 indexed citations
14.
Varma, Dileep, Xiaohu Wan, Dawn A. D. Chasse, et al.. (2012). Recruitment of the human Cdt1 replication licensing protein by the loop domain of Hec1 is required for stable kinetochore–microtubule attachment. Nature Cell Biology. 14(6). 593–603. 73 indexed citations
15.
Varma, Dileep & Edward D. Salmon. (2012). The KMN protein network – chief conductors of the kinetochore orchestra. Journal of Cell Science. 125(24). 5927–5936. 91 indexed citations
16.
Gassmann, Reto, Andrew J. Holland, Dileep Varma, et al.. (2010). Removal of Spindly from microtubule-attached kinetochores controls spindle checkpoint silencing in human cells. Genes & Development. 24(9). 957–971. 150 indexed citations
17.
Mao, Yinghui, Dileep Varma, & Richard B. Vallee. (2010). Emerging functions of force-producing kinetochore motors. Cell Cycle. 9(4). 715–719. 12 indexed citations
18.
Varma, Dileep, et al.. (2008). Direct role of dynein motor in stable kinetochore-microtubule attachment, orientation, and alignment. The Journal of Cell Biology. 182(6). 1045–1054. 80 indexed citations
19.
Vallee, Richard B., Dileep Varma, & Denis Dujardin. (2006). ZW10 Function in Mitotic Checkpoint Control, Dynein Targeting, and Membrane Trafficking: Is Dynein the Unifying Theme?. Cell Cycle. 5(21). 2447–2451. 34 indexed citations
20.
Vallee, Richard B., et al.. (2003). Dynein: An ancient motor protein involved in multiple modes of transport. Journal of Neurobiology. 58(2). 189–200. 322 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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