Dipa Jayaseelan

1.6k total citations
9 papers, 40 citations indexed

About

Dipa Jayaseelan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Dipa Jayaseelan has authored 9 papers receiving a total of 40 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Dipa Jayaseelan's work include Genetic Neurodegenerative Diseases (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Ion channel regulation and function (5 papers). Dipa Jayaseelan is often cited by papers focused on Genetic Neurodegenerative Diseases (6 papers), Cardiac electrophysiology and arrhythmias (5 papers) and Ion channel regulation and function (5 papers). Dipa Jayaseelan collaborates with scholars based in United Kingdom and United States. Dipa Jayaseelan's co-authors include Michael G. Hanna, Vinojini Vivekanandam, Roope Männikkö, Emma Matthews, Karen Suetterlin, Richa Sud, Sarah Holmes, J. Burge, Doreen Fialho and Natalie James and has published in prestigious journals such as Brain, The Lancet Neurology and Muscle & Nerve.

In The Last Decade

Dipa Jayaseelan

7 papers receiving 40 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dipa Jayaseelan United Kingdom	4	26	22	18	6	4	9	40
Julie Agriesti United States	3	21 0.8×	26 1.2×	19 1.1×	7 1.2×	3 0.8×	4	36
Vinojini Vivekanandam United Kingdom	6	52 2.0×	55 2.5×	47 2.6×	15 2.5×	6 1.5×	18	88
Nadia Ladak United Kingdom	4	17 0.7×	14 0.6×	9 0.5×	8 1.3×	8 2.0×	5	42
Elena Pinzan Italy	2	15 0.6×	30 1.4×	4 0.2×	6 1.0×	2 0.5×	3	35
Ilaria Busi Italy	2	9 0.3×	25 1.1×	9 0.5×	3 0.5×	4 1.0×	5	95
Yamna Kriouile Morocco	5	7 0.3×	19 0.9×	6 0.3×	6 1.0×	11 2.8×	15	37
Chaoping Hu China	5	16 0.6×	75 3.4×	20 1.1×	3 0.5×	5 1.3×	16	90
T. Billette France	2	18 0.7×	9 0.4×	8 0.4×	2 0.3×	1 0.3×	3	50
Mel·lina Pinsach‐Abuin Spain	5	9 0.3×	63 2.9×	66 3.7×	3 0.5×	3 0.8×	10	83

Countries citing papers authored by Dipa Jayaseelan

Since Specialization

Citations

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

Fields of papers citing papers by Dipa Jayaseelan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dipa Jayaseelan

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

1.

Skorupinska, Iwona, et al.. (2025). Long term safety and efficacy of lamotrigine in patients with non-dystrophic myotonia, a single-centre prospective study. Neuromuscular Disorders. 56-57. 106222–106222.

2.

Vivekanandam, Vinojini, Iwona Skorupinska, Dipa Jayaseelan, et al.. (2024). Mexiletine versus lamotrigine in non-dystrophic myotonias: a randomised, double-blind, head-to-head, crossover, non-inferiority, phase 3 trial. The Lancet Neurology. 23(10). 1004–1012. 4 indexed citations

3.

Devine, Helen, Luca Zampedri, Michael G. Hanna, et al.. (2024). Kennedy’s disease. Practical Neurology. 24(4). 302–305.

4.

Vivekanandam, Vinojini, Karen Suetterlin, Emma Matthews, et al.. (2023). Muscle MRI in periodic paralysis shows myopathy is common and correlates with intramuscular fat accumulation. Muscle & Nerve. 68(4). 439–450. 6 indexed citations

5.

Vivekanandam, Vinojini, Richa Sud, Iwona Skorupinska, et al.. (2023). Prevalence of genetically confirmed skeletal muscle channelopathies in the era of next generation sequencing. Neuromuscular Disorders. 33(3). 270–273. 10 indexed citations

6.

Vivekanandam, Vinojini, Dipa Jayaseelan, & Michael G. Hanna. (2023). Muscle channelopathies. Handbook of clinical neurology. 195. 521–532. 2 indexed citations

7.

Vivekanandam, Vinojini, et al.. (2022). In silico versus functional characterization of genetic variants: lessons from muscle channelopathies. Brain. 146(4). 1316–1321. 2 indexed citations

8.

Vivekanandam, Vinojini, Dipa Jayaseelan, & Michael G. Hanna. (2022). COVID‐19 infection and vaccination in patients with skeletal muscle channelopathies. Muscle & Nerve. 66(5). 617–620. 2 indexed citations

9.

Suetterlin, Karen, Emma Matthews, Richa Sud, et al.. (2021). Translating genetic and functional data into clinical practice: a series of 223 families with myotonia. Brain. 145(2). 607–620. 14 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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