S. Veronica Tan

1.4k total citations
41 papers, 956 citations indexed

About

S. Veronica Tan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, S. Veronica Tan has authored 41 papers receiving a total of 956 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 22 papers in Cellular and Molecular Neuroscience and 13 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in S. Veronica Tan's work include Ion channel regulation and function (21 papers), Genetic Neurodegenerative Diseases (15 papers) and Cardiac electrophysiology and arrhythmias (9 papers). S. Veronica Tan is often cited by papers focused on Ion channel regulation and function (21 papers), Genetic Neurodegenerative Diseases (15 papers) and Cardiac electrophysiology and arrhythmias (9 papers). S. Veronica Tan collaborates with scholars based in United Kingdom, Switzerland and Australia. S. Veronica Tan's co-authors include Michael G. Hanna, Hugh Bostock, Emma Matthews, Werner J. Z’Graggen, Doreen Fialho, Robert C. Griggs, Dimitri M. Kullmann, David Burke, Susan E Tomlinson and Delphine Boërio and has published in prestigious journals such as SHILAP Revista de lepidopterología, Brain and Neurology.

In The Last Decade

S. Veronica Tan

40 papers receiving 943 citations

Peers

S. Veronica Tan

CMN

CCM

NEURO

PMH

E.L. van der Kooi Netherlands

S. Gandossini Italy

Ilona A. Barash United States

Fortunato Mangiola Italy

Karl Ng Australia

Stanislav Voháňka Czechia

Mehmet Demirci Türkiye

Boaz Weller Israel

Pietro Guaraldi Italy

Erich W. Streib United States

E.L. van der Kooi Netherlands

S. Veronica Tan

504 ×0.9

179 ×0.4

CMN

136 ×0.4

CCM

99 ×0.4

NEURO

73 ×0.8

PMH

Citations per year, relative to S. Veronica Tan S. Veronica Tan (= 1×) peers E.L. van der Kooi

Countries citing papers authored by S. Veronica Tan

Since Specialization

Citations

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

Fields of papers citing papers by S. Veronica Tan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. Veronica Tan. 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 S. Veronica Tan. The network helps show where S. Veronica Tan may publish in the future.

Co-authorship network of co-authors of S. Veronica Tan

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

All Works

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20 of 20 papers shown

Suetterlin, Karen, Roope Männikkö, Emma Matthews, et al.. (2022). Excitability properties of mouse and human skeletal muscle fibres compared by muscle velocity recovery cycles. Neuromuscular Disorders. 32(4). 347–357. 6 indexed citations

Suetterlin, Karen, S. Veronica Tan, Roope Männikkö, et al.. (2021). Ageing contributes to phenotype transition in a mouse model of periodic paralysis. SHILAP Revista de lepidopterología. 4(2). 245–259. 6 indexed citations

Ribeiro, Ana Freitas, Karen Suetterlin, Iwona Skorupinska, et al.. (2021). The long exercise test as a functional marker of periodic paralysis. Muscle & Nerve. 65(5). 581–585. 3 indexed citations

Z’Graggen, Werner J., et al.. (2021). The role of potassium in muscle membrane dysfunction in end-stage renal disease. Clinical Neurophysiology. 132(12). 3125–3135. 8 indexed citations

Tan, S. Veronica, Karen Suetterlin, Roope Männikkö, et al.. (2020). In vivo assessment of interictal sarcolemmal membrane properties in hypokalaemic and hyperkalaemic periodic paralysis. Clinical Neurophysiology. 131(4). 816–827. 9 indexed citations

Gratwicke, James, et al.. (2020). Alpha coma EEG pattern in patients with severe COVID-19 related encephalopathy. Clinical Neurophysiology. 132(1). 218–225. 19 indexed citations

Bostock, Hugh, et al.. (2020). Muscle Velocity Recovery Cycles to Examine Muscle Membrane Properties. Journal of Visualized Experiments. 9 indexed citations

Bostock, Hugh, S. Veronica Tan, Anders Fuglsang‐Frederiksen, et al.. (2019). MScanFit motor unit number estimation (MScan) and muscle velocity recovery cycle recordings in amyotrophic lateral sclerosis patients. Clinical Neurophysiology. 130(8). 1280–1288. 25 indexed citations

Tomlinson, Susan E, S. Veronica Tan, David Burke, et al.. (2016). In vivoimpact of presynaptic calcium channel dysfunction on motor axons in episodic ataxia type 2. Brain. 139(2). 380–391. 10 indexed citations

10.

Tomlinson, Susan E, Sanjeev Rajakulendran, S. Veronica Tan, et al.. (2013). Clinical, genetic, neurophysiological and functional study of new mutations in episodic ataxia type 1. Journal of Neurology Neurosurgery & Psychiatry. 84(10). 1107–1112. 38 indexed citations

11.

Tan, S. Veronica, Werner J. Z’Graggen, Delphine Boërio, et al.. (2012). Membrane dysfunction in Andersen‐Tawil syndrome assessed by velocity recovery cycles. Muscle & Nerve. 46(2). 193–203. 30 indexed citations

12.

Cullup, Thomas, Phillipa J. Lamont, Sebahattin Çirak, et al.. (2012). Mutations in MYH7 cause Multi-minicore Disease (MmD) with variable cardiac involvement. Neuromuscular Disorders. 22(12). 1096–1104. 54 indexed citations

13.

Boërio, Delphine, et al.. (2011). Muscle velocity recovery cycles: Effects of repetitive stimulation on two muscles. Muscle & Nerve. 46(1). 102–111. 26 indexed citations

14.

Forrest, Katharine, Safa Al‐Sarraj, C. Sewry, et al.. (2010). Infantile onset myofibrillar myopathy due to recessive CRYAB mutations. Neuromuscular Disorders. 21(1). 37–40. 36 indexed citations

15.

Tomlinson, Susan E, S. Veronica Tan, Dimitri M. Kullmann, et al.. (2010). Nerve excitability studies characterize KV1.1 fast potassium channel dysfunction in patients with episodic ataxia type 1. Brain. 133(12). 3530–3540. 73 indexed citations

16.

Matthews, Emma, Doreen Fialho, S. Veronica Tan, et al.. (2009). The non-dystrophic myotonias: molecular pathogenesis, diagnosis and treatment. Brain. 133(1). 9–22. 148 indexed citations

17.

Sanders, Sue, et al.. (2009). Fixation‐off sensitivity in epilepsies other than the idiopathic epilepsies of childhood with occipital paroxysms: a 12‐year clinical‐video EEG study. Epileptic Disorders. 11(1). 20–36. 33 indexed citations

18.

Howard, Robin, S. Veronica Tan, & Werner J. Z’Graggen. (2008). Weakness on the intensive care unit. Practical Neurology. 8(5). 280–295. 18 indexed citations

19.

Koutroumanidis, Michael, et al.. (2008). Stimulus-induced bilateral central periodic discharges, cortical myoclonus and arousal responses in mild reversible coma. Clinical Neurophysiology. 119(11). 2459–2464. 7 indexed citations

20.

Koutroumanidis, Michael, et al.. (2005). Idiopathic generalized epilepsies: clinical and electroencephalogram diagnosis and treatment. Expert Review of Neurotherapeutics. 5(6). 753–767. 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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