Sriram Jayabal

1.1k total citations
9 papers, 213 citations indexed

About

Sriram Jayabal is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Sriram Jayabal has authored 9 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 2 papers in Neurology. Recurrent topics in Sriram Jayabal's work include Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). Sriram Jayabal is often cited by papers focused on Mitochondrial Function and Pathology (4 papers), Genetic Neurodegenerative Diseases (4 papers) and Neuroscience and Neuropharmacology Research (2 papers). Sriram Jayabal collaborates with scholars based in Canada, United States and Singapore. Sriram Jayabal's co-authors include Alanna J. Watt, Kathleen E. Cullen, Kamesh Narasimhan, Prasanna R. Kolatkar, Ralf Jauch, Barath Udayasuryan, Konstantin Pervushin, Xiang‐Jiao Yang, Serge McGraw and Angela Yang and has published in prestigious journals such as Nucleic Acids Research, The Journal of Physiology and Scientific Reports.

In The Last Decade

Sriram Jayabal

9 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sriram Jayabal Canada	8	138	137	50	30	20	9	213
Kärt Mätlik Finland	9	147 1.1×	128 0.9×	42 0.8×	21 0.7×	21 1.1×	18	254
Aude Tessier France	5	144 1.0×	152 1.1×	58 1.2×	11 0.4×	28 1.4×	11	246
Justin Barnes United States	9	237 1.7×	221 1.6×	66 1.3×	41 1.4×	42 2.1×	14	340
Jordi Creus‐Muncunill United States	11	178 1.3×	265 1.9×	74 1.5×	33 1.1×	37 1.9×	20	359
Noviana Wulansari South Korea	6	90 0.7×	125 0.9×	57 1.1×	42 1.4×	11 0.6×	7	234
Stefanie Foskolou United Kingdom	5	67 0.5×	183 1.3×	33 0.7×	32 1.1×	31 1.6×	5	261
Ivó H. Hernández Spain	10	103 0.7×	245 1.8×	41 0.8×	66 2.2×	40 2.0×	15	368
Hongjun Song United States	3	106 0.8×	117 0.9×	133 2.7×	42 1.4×	13 0.7×	5	251
Shintaro Otsuka Japan	6	86 0.6×	63 0.5×	38 0.8×	26 0.9×	27 1.4×	9	204
Lauren M. Watson United Kingdom	10	185 1.3×	251 1.8×	33 0.7×	20 0.7×	30 1.5×	13	355

Countries citing papers authored by Sriram Jayabal

Since Specialization

Citations

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

Fields of papers citing papers by Sriram Jayabal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sriram Jayabal

This figure shows the co-authorship network connecting the top 25 collaborators of Sriram Jayabal. A scholar is included among the top collaborators of Sriram Jayabal 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 Sriram Jayabal. Sriram Jayabal 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

Ferro, Marc, Christopher M. Proctor, Sriram Jayabal, et al.. (2024). NeuroRoots, a bio-inspired, seamless brain machine interface for long-term recording in delicate brain regions. AIP Advances. 14(8). 85109–85109. 9 indexed citations

Jayabal, Sriram, et al.. (2022). Activation of TrkB-Akt signaling rescues deficits in a mouse model of SCA6. Science Advances. 8(37). eabh3260–eabh3260. 16 indexed citations

Li, Lin, Sriram Jayabal, Mohammad Ghorbani, et al.. (2019). ATAT1 regulates forebrain development and stress-induced tubulin hyperacetylation. Cellular and Molecular Life Sciences. 76(18). 3621–3640. 18 indexed citations

Yang, Angela, et al.. (2016). Transient Developmental Purkinje Cell Axonal Torpedoes in Healthy and Ataxic Mouse Cerebellum. Frontiers in Cellular Neuroscience. 10. 248–248. 15 indexed citations

Jayabal, Sriram, et al.. (2016). 4-aminopyridine reverses ataxia and cerebellar firing deficiency in a mouse model of spinocerebellar ataxia type 6. Scientific Reports. 6(1). 29489–29489. 68 indexed citations

Jayabal, Sriram, et al.. (2016). Transient cerebellar alterations during development prior to obvious motor phenotype in a mouse model of spinocerebellar ataxia type 6. The Journal of Physiology. 595(3). 949–966. 17 indexed citations

Jayabal, Sriram, et al.. (2015). Rapid Onset of Motor Deficits in a Mouse Model of Spinocerebellar Ataxia Type 6 Precedes Late Cerebellar Degeneration. eNeuro. 2(6). ENEURO.0094–15.2015. 35 indexed citations

Narasimhan, Kamesh, Sriram Jayabal, Barath Udayasuryan, et al.. (2015). DNA-mediated cooperativity facilitates the co-selection of cryptic enhancer sequences by SOX2 and PAX6 transcription factors. Nucleic Acids Research. 43(3). 1513–1528. 31 indexed citations

Narasimhan, Kamesh, et al.. (2014). Crystallization and preliminary X-ray diffraction analysis of the Pax9 paired domain bound to a DC5 enhancer DNA element. Acta Crystallographica Section F Structural Biology Communications. 70(10). 1357–1361. 4 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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