Thirugnanam Umapathi

4.7k total citations
57 papers, 2.1k citations indexed

About

Thirugnanam Umapathi is a scholar working on Neurology, Cellular and Molecular Neuroscience and Infectious Diseases. According to data from OpenAlex, Thirugnanam Umapathi has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Neurology, 20 papers in Cellular and Molecular Neuroscience and 9 papers in Infectious Diseases. Recurrent topics in Thirugnanam Umapathi's work include Peripheral Neuropathies and Disorders (23 papers), Hereditary Neurological Disorders (15 papers) and Long-Term Effects of COVID-19 (7 papers). Thirugnanam Umapathi is often cited by papers focused on Peripheral Neuropathies and Disorders (23 papers), Hereditary Neurological Disorders (15 papers) and Long-Term Effects of COVID-19 (7 papers). Thirugnanam Umapathi collaborates with scholars based in Singapore, Malaysia and United Kingdom. Thirugnanam Umapathi's co-authors include Yiong Huak Chan, Cheng Chuan Lee, Richard AC Hughes, Nobuhiro Yuki, Wan Loo Tan, Nigel CK Tan, A. Gordon Smith, Christoph Schmitz, Grazia Devigili and Catharina G. Faber and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and Neurology.

In The Last Decade

Thirugnanam Umapathi

54 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Thirugnanam Umapathi Singapore 22 1.1k 553 447 434 426 57 2.1k
Osvaldo J. M. Nascimento Brazil 24 619 0.6× 570 1.0× 304 0.7× 353 0.8× 245 0.6× 181 2.1k
T. de Broucker France 22 721 0.7× 546 1.0× 739 1.7× 612 1.4× 135 0.3× 90 2.3k
Kiran T. Thakur United States 27 616 0.6× 952 1.7× 644 1.4× 129 0.3× 144 0.3× 140 2.3k
Gabriele Arendt Germany 29 368 0.3× 894 1.6× 576 1.3× 262 0.6× 146 0.3× 124 3.6k
Rajesh Verma India 29 623 0.6× 701 1.3× 462 1.0× 146 0.3× 207 0.5× 215 2.9k
Vimal Kumar Paliwal India 25 740 0.7× 444 0.8× 138 0.3× 106 0.2× 191 0.4× 97 1.9k
Manish Modi India 28 364 0.3× 530 1.0× 377 0.8× 178 0.4× 235 0.6× 203 2.5k
Katrin Hahn Germany 22 308 0.3× 193 0.3× 355 0.8× 240 0.6× 174 0.4× 110 1.7k
Uta Meyding‐Lamadé Germany 27 944 0.9× 236 0.4× 1.2k 2.7× 230 0.5× 87 0.2× 88 2.5k
J. C. McArthur United States 28 356 0.3× 1.3k 2.3× 635 1.4× 558 1.3× 158 0.4× 37 3.2k

Countries citing papers authored by Thirugnanam Umapathi

Since Specialization
Citations

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

Fields of papers citing papers by Thirugnanam Umapathi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thirugnanam Umapathi

This figure shows the co-authorship network connecting the top 25 collaborators of Thirugnanam Umapathi. A scholar is included among the top collaborators of Thirugnanam Umapathi 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 Thirugnanam Umapathi. Thirugnanam Umapathi 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.
Puah, Ser Hon, et al.. (2023). Myorhythmia and Other Movement Disorders in Two Patients With Coronavirus Disease 2019 Encephalopathy. Journal of Movement Disorders. 16(2). 217–220.
2.
Prasad, Kriti, et al.. (2023). Dysferlinopathy, with mild cardiac involvement, from a novel mutation of DYSF gene. QJM. 116(6). 453–454. 1 indexed citations
3.
Umapathi, Thirugnanam, et al.. (2023). Myoedema: a forgotten sign in acute colchicine myopathy. BMJ Case Reports. 16(10). e257076–e257076. 1 indexed citations
4.
Koh, Jasmine Shimin, Yihui Goh, Benjamin Yong‐Qiang Tan, et al.. (2022). Low incidence of neurological recurrent side-effects following COVID-19 reimmunization. QJM. 116(3). 221–226. 5 indexed citations
5.
Umapathi, Thirugnanam. (2022). Uncovering the Fixation Suppression of Peripheral Nystagmus - Poor Man's Solutions. Annals of Indian Academy of Neurology. 25(1). 120–120.
6.
Umapathi, Thirugnanam, et al.. (2021). Acute Isolated Near Vision Difficulty in Patients With COVID-19 Infection. Journal of Neuro-Ophthalmology. 41(3). e279–e282. 5 indexed citations
7.
Chen, Zhiyong, Jasmine Shimin Koh, Monica Saini, et al.. (2021). Hereditary Transthyretin Amyloidosis- Clinical and Genetic Characteristics of a Multiracial South-East Asian Cohort in Singapore. Journal of Neuromuscular Diseases. 8(4). 723–733. 19 indexed citations
8.
Koh, Jasmine Shimin, et al.. (2020). Early Aggressive Immunotherapy Improves Functional Outcome in Chronic Immune Sensory Polyradiculopathy. SHILAP Revista de lepidopterología. 2020. 1–4. 3 indexed citations
9.
Lim, C. C. Tchoyoson, et al.. (2020). Covert Subclinical Neurocognitive Sequelae During the Rehabilitation Course of Severe Coronavirus Disease 2019. American Journal of Physical Medicine & Rehabilitation. 100(1). 39–43. 5 indexed citations
10.
Umapathi, Thirugnanam, et al.. (2020). Encephalopathy in COVID-19 patients; viral, parainfectious, or both?. eNeurologicalSci. 21. 100275–100275. 35 indexed citations
11.
Shahrizaila, Nortina, et al.. (2017). Electrodiagnosis of reversible conduction failure in Guillain–Barré syndrome. Muscle & Nerve. 56(5). 919–924. 22 indexed citations
12.
Venketasubramanian, Narayanaswamy, Sherry H. Young, San San Tay, et al.. (2013). Chinese Medicine NeuroAiD Efficacy Stroke Recovery - Extension Study (CHIMES-E Study): An Observational Multicenter Study to Investigate the Longer-Term Efficacy of NeuroAiD in Stroke Recovery. Cerebrovascular Diseases. 35(Suppl. 1). 18–22. 9 indexed citations
13.
Umapathi, Thirugnanam, Richard AC Hughes, Eduardo Nobile‐Orazio, & Jean‐Marc Léger. (2012). Immunosuppressant and immunomodulatory treatments for multifocal motor neuropathy. Cochrane Database of Systematic Reviews. CD003217–CD003217. 20 indexed citations
14.
Lye, David Chien, et al.. (2008). Diagnostic lumbar puncture: minimizing complications. Internal Medicine Journal. 38(7). 587–591. 38 indexed citations
15.
Umapathi, Thirugnanam, Wan Loo Tan, Nigel CK Tan, & Yiong Huak Chan. (2006). Determinants of epidermal nerve fiber density in normal individuals. Muscle & Nerve. 33(6). 742–746. 51 indexed citations
16.
Umapathi, Thirugnanam, et al.. (2004). Susac syndrome: serial diffusion-weighted MR imaging. Magnetic Resonance Imaging. 22(9). 1295–1298. 16 indexed citations
17.
Umapathi, Thirugnanam & Richard AC Hughes. (2002). Mycophenolate in treatment‐resistant inflammatory neuropathies. European Journal of Neurology. 9(6). 683–685. 48 indexed citations
18.
Umapathi, Thirugnanam, et al.. (2002). Immunosuppressive treatment for multifocal motor neuropathy. Cochrane Database of Systematic Reviews. CD003217–CD003217. 18 indexed citations
19.
Umapathi, Thirugnanam. (2002). Head drop and camptocormia. Journal of Neurology Neurosurgery & Psychiatry. 73(1). 1–7. 100 indexed citations
20.
Umapathi, Thirugnanam, et al.. (2000). Tongue Deviation in Acute Ischaemic Stroke: A Study of Supranuclear Twelfth Cranial Nerve Palsy in 300 Stroke Patients. Cerebrovascular Diseases. 10(6). 462–465. 45 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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