Sakthikumar Mathivanan

425 total citations · 1 hit paper
8 papers, 279 citations indexed

About

Sakthikumar Mathivanan is a scholar working on Cellular and Molecular Neuroscience, Sensory Systems and Molecular Biology. According to data from OpenAlex, Sakthikumar Mathivanan has authored 8 papers receiving a total of 279 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 4 papers in Sensory Systems and 3 papers in Molecular Biology. Recurrent topics in Sakthikumar Mathivanan's work include Ion Channels and Receptors (4 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Sakthikumar Mathivanan is often cited by papers focused on Ion Channels and Receptors (4 papers), Pluripotent Stem Cells Research (2 papers) and CRISPR and Genetic Engineering (2 papers). Sakthikumar Mathivanan collaborates with scholars based in Spain, Singapore and United States. Sakthikumar Mathivanan's co-authors include Antonio Ferrer‐Montiel, Isabel Devesa, Jean‐Pierre Changeux, Linghai Kong, Anita Bhattacharyya, Yuanwei Yan, Yunlong Tao, Rafael Luján, Su‐Chun Zhang and Yi Dong and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and Cell stem cell.

In The Last Decade

Sakthikumar Mathivanan

7 papers receiving 274 citations

Hit Papers

3D bioprinting of human neural tissues with functional co... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sakthikumar Mathivanan Spain 7 115 80 72 70 55 8 279
Yong Chul Bae South Korea 10 167 1.5× 106 1.3× 62 0.9× 133 1.9× 184 3.3× 10 494
Sayed Mostafa Modarres Mousavi Iran 12 38 0.3× 39 0.5× 147 2.0× 138 2.0× 64 1.2× 25 437
Tiziana Cesetti Germany 8 50 0.4× 46 0.6× 97 1.3× 73 1.0× 86 1.6× 11 374
William H. Aisenberg United States 8 136 1.2× 64 0.8× 126 1.8× 75 1.1× 38 0.7× 9 335
Melania González-Rodríguez Spain 9 62 0.5× 98 1.2× 87 1.2× 44 0.6× 35 0.6× 11 262
Sijia Hao China 11 19 0.2× 43 0.5× 87 1.2× 106 1.5× 22 0.4× 33 389
Vanessa Soubeyre France 9 38 0.3× 96 1.2× 117 1.6× 116 1.7× 91 1.7× 21 352
G. Della Torre Italy 13 75 0.7× 52 0.7× 127 1.8× 79 1.1× 64 1.2× 27 414
Ricardo Paricio-Montesinos Germany 4 86 0.7× 88 1.1× 46 0.6× 77 1.1× 10 0.2× 7 262
Valeria Foti Cuzzola Italy 7 132 1.1× 25 0.3× 89 1.2× 29 0.4× 74 1.3× 8 345

Countries citing papers authored by Sakthikumar Mathivanan

Since Specialization
Citations

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

Fields of papers citing papers by Sakthikumar Mathivanan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sakthikumar Mathivanan

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

All Works

8 of 8 papers shown
1.
Xiong, Ding, Yuan Fang, Yinglu Li, et al.. (2025). The intermediate filament protein GFAP regulates mitochondrial fission in astrocytes. Proceedings of the National Academy of Sciences. 122(48). e2524111122–e2524111122.
2.
Yan, Yuanwei, Xueyan Li, Yu Gao, et al.. (2024). 3D bioprinting of human neural tissues with functional connectivity. Cell stem cell. 31(2). 260–274.e7. 64 indexed citations breakdown →
3.
Tao, Yunlong, Xueyan Li, Qiping Dong, et al.. (2023). Generation of locus coeruleus norepinephrine neurons from human pluripotent stem cells. Nature Biotechnology. 42(9). 1404–1416. 14 indexed citations
4.
Fathi, Ali, Sakthikumar Mathivanan, Linghai Kong, et al.. (2021). Chemically induced senescence in human stem cell‐derived neurons promotes phenotypic presentation of neurodegeneration. Aging Cell. 21(1). e13541–e13541. 17 indexed citations
5.
Mathivanan, Sakthikumar, Isabel Devesa, Jean‐Pierre Changeux, & Antonio Ferrer‐Montiel. (2016). Bradykinin Induces TRPV1 Exocytotic Recruitment in Peptidergic Nociceptors. Frontiers in Pharmacology. 7. 178–178. 32 indexed citations
6.
Mathivanan, Sakthikumar, Roberto de la Torre-Martı́nez, Giorgina Mangano, et al.. (2016). Effect of econazole and benzydamine on sensory neurons in culture.. PubMed. 67(6). 851–858. 11 indexed citations
7.
Devesa, Isabel, et al.. (2014). αCGRP is essential for algesic exocytotic mobilization of TRPV1 channels in peptidergic nociceptors. Proceedings of the National Academy of Sciences. 111(51). 18345–18350. 52 indexed citations
8.
Mathivanan, Sakthikumar, et al.. (2014). Trafficking of ThermoTRP Channels. Membranes. 4(3). 525–564. 89 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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