Ravindran Kumaran

3.2k total citations
30 papers, 1.8k citations indexed

About

Ravindran Kumaran is a scholar working on Neurology, Molecular Biology and Physiology. According to data from OpenAlex, Ravindran Kumaran has authored 30 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Neurology, 15 papers in Molecular Biology and 11 papers in Physiology. Recurrent topics in Ravindran Kumaran's work include Parkinson's Disease Mechanisms and Treatments (18 papers), Cellular transport and secretion (7 papers) and Alzheimer's disease research and treatments (6 papers). Ravindran Kumaran is often cited by papers focused on Parkinson's Disease Mechanisms and Treatments (18 papers), Cellular transport and secretion (7 papers) and Alzheimer's disease research and treatments (6 papers). Ravindran Kumaran collaborates with scholars based in United States, United Kingdom and India. Ravindran Kumaran's co-authors include David L. Spector, Mark Cookson, Alexandra Beilina, Adamantios Mamais, Veena K. Parnaik, Yan Li, Asa Abeliovich, Andrew B. West, Zhiyong Liu and Nicole Bryant and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Ravindran Kumaran

30 papers receiving 1.7k citations

Peers

Ravindran Kumaran
Aaron Voigt Germany
R. Jeremy Nichols United States
Holger Hummerich United Kingdom
Genta Ito Japan
Jef Swerts Belgium
Jeehye Park South Korea
Ravindran Kumaran
Citations per year, relative to Ravindran Kumaran Ravindran Kumaran (= 1×) peers Shinji Hadano

Countries citing papers authored by Ravindran Kumaran

Since Specialization
Citations

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

Fields of papers citing papers by Ravindran Kumaran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ravindran Kumaran

This figure shows the co-authorship network connecting the top 25 collaborators of Ravindran Kumaran. A scholar is included among the top collaborators of Ravindran Kumaran 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 Ravindran Kumaran. Ravindran Kumaran 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.
Mamais, Adamantios, Jillian H. Kluss, Luis Bonet‐Ponce, et al.. (2021). Mutations in LRRK2 linked to Parkinson disease sequester Rab8a to damaged lysosomes and regulate transferrin-mediated iron uptake in microglia. PLoS Biology. 19(12). e3001480–e3001480. 57 indexed citations
2.
Bonet‐Ponce, Luis, Alexandra Beilina, Chad D. Williamson, et al.. (2020). LRRK2 mediates tubulation and vesicle sorting from lysosomes. Science Advances. 6(46). 155 indexed citations
3.
Heaton, George R., Natalie Landeck, Adamantios Mamais, et al.. (2020). Sequential screening nominates the Parkinson's disease associated kinase LRRK2 as a regulator of Clathrin-mediated endocytosis. Neurobiology of Disease. 141. 104948–104948. 30 indexed citations
4.
Beilina, Alexandra, Luis Bonet‐Ponce, Ravindran Kumaran, et al.. (2020). The Parkinson’s Disease Protein LRRK2 Interacts with the GARP Complex to Promote Retrograde Transport to the trans-Golgi Network. Cell Reports. 31(5). 107614–107614. 50 indexed citations
5.
Kwon, Somin, Alexandra Beilina, Bradley Smith, et al.. (2020). LRRK2-mediated microglial activation via NFATc2: a novel mechanism of neurotoxic inflammation in synucleinopathies. The Journal of Immunology. 204(1_Supplement). 64.7–64.7. 1 indexed citations
6.
Langston, Rebekah G., Iakov N. Rudenko, Ravindran Kumaran, et al.. (2018). Differences in Stability, Activity and Mutation Effects Between Human and Mouse Leucine-Rich Repeat Kinase 2. Neurochemical Research. 44(6). 1446–1459. 9 indexed citations
7.
Yellajoshyula, Dhananjay, Chun-Chi Liang, Samuel S. Pappas, et al.. (2017). The DYT6 Dystonia Protein THAP1 Regulates Myelination within the Oligodendrocyte Lineage. Developmental Cell. 42(1). 52–67.e4. 39 indexed citations
8.
Liu, Zhiyong, Nicole Bryant, Ravindran Kumaran, et al.. (2017). LRRK2 phosphorylates membrane-bound Rabs and is activated by GTP-bound Rab7L1 to promote recruitment to the trans-Golgi network. Human Molecular Genetics. 27(2). 385–395. 183 indexed citations
9.
Rudenko, Iakov N., Alice Kaganovich, Rebekah G. Langston, et al.. (2017). The G2385R risk factor for Parkinson's disease enhances CHIP-dependent intracellular degradation of LRRK2. Biochemical Journal. 474(9). 1547–1558. 33 indexed citations
10.
Kumaran, Ravindran & Mark Cookson. (2015). Pathways to Parkinsonism Redux: convergent pathobiological mechanisms in genetics of Parkinson's disease. Human Molecular Genetics. 24(R1). R32–R44. 70 indexed citations
11.
Walls, Andrew F., et al.. (2015). Characterization of B-Cells in tonsils of patients diagnosed with pediatric autoimmune neuropsychiatric disorder associated streptococcus. International Journal of Pediatric Otorhinolaryngology. 80. 49–52. 4 indexed citations
12.
Hauser, David N., Christopher T. Primiani, Rebekah G. Langston, Ravindran Kumaran, & Mark Cookson. (2015). ThePolgMutator Phenotype Does Not Cause Dopaminergic Neurodegeneration inDJ-1-Deficient Mice. eNeuro. 2(1). ENEURO.0075–14.2015. 22 indexed citations
13.
Kumaran, Ravindran, et al.. (2013). Lamin A/C Haploinsufficiency Modulates the Differentiation Potential of Mouse Embryonic Stem Cells. PLoS ONE. 8(2). e57891–e57891. 24 indexed citations
14.
Kumar, Azad, J. Raphael Gibbs, Alexandra Beilina, et al.. (2012). Age-associated changes in gene expression in human brain and isolated neurons. Neurobiology of Aging. 34(4). 1199–1209. 44 indexed citations
15.
Sharma, Simone, Rina Bandopadhyay, Tammaryn Lashley, et al.. (2011). LRRK2 expression in idiopathic and G2019S positive Parkinson's disease subjects: a morphological and quantitative study. Neuropathology and Applied Neurobiology. 37(7). 777–790. 35 indexed citations
16.
Blackinton, Jeff, Ravindran Kumaran, Marcel P. van der Brug, et al.. (2009). Post-transcriptional regulation of mRNA associated with DJ-1 in sporadic Parkinson disease. Neuroscience Letters. 452(1). 8–11. 67 indexed citations
17.
Davidson, Yvonne S., Jing Shi, Jinzhou Tian, et al.. (2009). TDP-43 in ubiquitinated inclusions in the inferior olives in frontotemporal lobar degeneration and in other neurodegenerative diseases: a degenerative process distinct from normal ageing. Acta Neuropathologica. 118(3). 359–369. 25 indexed citations
18.
Kumaran, Ravindran, Jana Vandrovcová, Simone Sharma, et al.. (2009). Differential DJ-1 gene expression in Parkinson's disease. Neurobiology of Disease. 36(2). 393–400. 41 indexed citations
19.
Kumaran, Ravindran, et al.. (2008). Chromatin Dynamics and Gene Positioning. Cell. 132(6). 929–934. 126 indexed citations
20.
Kumaran, Ravindran, Ann E. Kingsbury, Ian Coulter, et al.. (2007). DJ-1 (PARK7) is associated with 3R and 4R tau neuronal and glial inclusions in neurodegenerative disorders. Neurobiology of Disease. 28(1). 122–132. 29 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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