Saravanan Palani

925 total citations
28 papers, 528 citations indexed

About

Saravanan Palani is a scholar working on Molecular Biology, Cell Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Saravanan Palani has authored 28 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 17 papers in Cell Biology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Saravanan Palani's work include Fungal and yeast genetics research (15 papers), Microtubule and mitosis dynamics (11 papers) and Cellular Mechanics and Interactions (6 papers). Saravanan Palani is often cited by papers focused on Fungal and yeast genetics research (15 papers), Microtubule and mitosis dynamics (11 papers) and Cellular Mechanics and Interactions (6 papers). Saravanan Palani collaborates with scholars based in United Kingdom, India and Germany. Saravanan Palani's co-authors include Franz Meitinger, Gislene Pereira, Mohan K. Balasubramanian, Birgit Hub, Tomoyuki Hatano, Wolf D. Lehmann, Martin E. Boehm, Ting Gang Chew, Bahtiyar Kurtulmus and Junqi Huang and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Saravanan Palani

27 papers receiving 528 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saravanan Palani United Kingdom 15 424 298 72 62 51 28 528
Tomoko Kojidani Japan 17 859 2.0× 233 0.8× 69 1.0× 24 0.4× 26 0.5× 20 1.0k
Sergio A. Rincón Spain 16 739 1.7× 570 1.9× 150 2.1× 69 1.1× 58 1.1× 25 821
Anup Padmanabhan Singapore 8 258 0.6× 227 0.8× 17 0.2× 39 0.6× 39 0.8× 12 378
Jim Karagiannis Canada 15 538 1.3× 234 0.8× 99 1.4× 34 0.5× 53 1.0× 31 588
Nesia A. Zurek United States 5 445 1.0× 382 1.3× 47 0.7× 27 0.4× 80 1.6× 10 675
Karen E Pilcher United States 7 295 0.7× 220 0.7× 31 0.4× 47 0.8× 16 0.3× 7 479
Susanne Trautmann United States 12 1.0k 2.5× 755 2.5× 260 3.6× 67 1.1× 86 1.7× 13 1.2k
Isabelle Gaugué France 11 310 0.7× 316 1.1× 37 0.5× 63 1.0× 45 0.9× 14 543
Elizabeth A. Znameroski United States 7 453 1.1× 202 0.7× 140 1.9× 271 4.4× 12 0.2× 7 657
Brian R. Graziano United States 10 236 0.6× 319 1.1× 34 0.5× 33 0.5× 42 0.8× 11 446

Countries citing papers authored by Saravanan Palani

Since Specialization
Citations

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

Fields of papers citing papers by Saravanan Palani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saravanan Palani

This figure shows the co-authorship network connecting the top 25 collaborators of Saravanan Palani. A scholar is included among the top collaborators of Saravanan Palani 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 Saravanan Palani. Saravanan Palani 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.
2.
Joosten, Ben, et al.. (2024). IntAct: A nondisruptive internal tagging strategy to study the organization and function of actin isoforms. PLoS Biology. 22(3). e3002551–e3002551. 4 indexed citations
3.
Palani, Saravanan, et al.. (2023). A monomeric StayGold fluorescent protein. Nature Biotechnology. 42(9). 1368–1371. 33 indexed citations
4.
Palani, Saravanan, et al.. (2022). ALIBY: ALFA Nanobody-Based Toolkit for Imaging and Biochemistry in Yeast. mSphere. 7(5). e0033322–e0033322. 11 indexed citations
5.
Hatano, Tomoyuki, Ying Gu, Masanori Mishima, et al.. (2022). mNG-tagged fusion proteins and nanobodies to visualize tropomyosins in yeast and mammalian cells. Journal of Cell Science. 135(18). 8 indexed citations
6.
Hatano, Tomoyuki, Saravanan Palani, Ralf Salzer, et al.. (2022). Asgard archaea shed light on the evolutionary origins of the eukaryotic ubiquitin-ESCRT machinery. Nature Communications. 13(1). 3398–3398. 39 indexed citations
7.
Palani, Saravanan, et al.. (2021). An organelle-tethering mechanism couples flagellation to cell division in bacteria. Developmental Cell. 56(5). 657–670.e4. 9 indexed citations
8.
Palani, Saravanan, et al.. (2020). Genetic suppression of defective profilin by attenuated Myosin II reveals a potential role for Myosin II in actin dynamics in vivo in fission yeast. Molecular Biology of the Cell. 31(19). 2107–2114. 2 indexed citations
9.
Palani, Saravanan, et al.. (2020). Time-varying mobility and turnover of actomyosin ring components during cytokinesis inSchizosaccharomyces pombe. Molecular Biology of the Cell. 32(3). 237–246. 6 indexed citations
10.
Palani, Saravanan, et al.. (2018). Steric hindrance in the upper 50 kDa domain of the motor Myo2p leads to cytokinesis defects in fission yeast. Journal of Cell Science. 131(1). 3 indexed citations
11.
Palani, Saravanan, Ting Gang Chew, R. Srinivasan, et al.. (2017). Motor Activity Dependent and Independent Functions of Myosin II Contribute to Actomyosin Ring Assembly and Contraction in Schizosaccharomyces pombe. Current Biology. 27(5). 751–757. 17 indexed citations
12.
Palani, Saravanan, Juan Carlos G. Cortés, Mamiko Sato, et al.. (2016). A New Membrane Protein Sbg1 Links the Contractile Ring Apparatus and Septum Synthesis Machinery in Fission Yeast. PLoS Genetics. 12(10). e1006383–e1006383. 27 indexed citations
13.
Meitinger, Franz & Saravanan Palani. (2016). Actomyosin ring driven cytokinesis in budding yeast. Seminars in Cell and Developmental Biology. 53. 19–27. 31 indexed citations
14.
Meitinger, Franz, Saravanan Palani, & Gislene Pereira. (2015). Detection of Phosphorylation Status of Cytokinetic Components. Methods in molecular biology. 1369. 219–237. 5 indexed citations
15.
Çaydaşı, Ayşe Koca, et al.. (2014). The 14-3-3 protein Bmh1 functions in the spindle position checkpoint by breaking Bfa1 asymmetry at yeast centrosomes. Molecular Biology of the Cell. 25(14). 2143–2151. 24 indexed citations
16.
Meitinger, Franz, Anton Khmelinskii, Sandrine Morlot, et al.. (2014). A Memory System of Negative Polarity Cues Prevents Replicative Aging. Cell. 159(5). 1056–1069. 34 indexed citations
17.
Palani, Saravanan, et al.. (2013). Lre1 Directly Inhibits the NDR/Lats Kinase Cbk1 at the Cell Division Site in a Phosphorylation-Dependent Manner. Current Biology. 23(18). 1736–1745. 15 indexed citations
18.
Meitinger, Franz, Saravanan Palani, Birgit Hub, & Gislene Pereira. (2013). Dual function of the NDR-kinase Dbf2 in the regulation of the F-BAR protein Hof1 during cytokinesis. Molecular Biology of the Cell. 24(9). 1290–1304. 39 indexed citations
19.
Palani, Saravanan, Franz Meitinger, Martin E. Boehm, Wolf D. Lehmann, & Gislene Pereira. (2012). Cdc14-dependent dephosphorylation of Inn1 contributes to Inn1-Cyk3 complex formation. Journal of Cell Science. 125(Pt 13). 3091–6. 40 indexed citations
20.
Meitinger, Franz, Saravanan Palani, & Gislene Pereira. (2012). The power of MEN in cytokinesis. Cell Cycle. 11(2). 219–228. 58 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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