Thirugnanam Umapathi

4.7k citations
57 papers · 2.1k indexed · h-index 22

Thirugnanam Umapathi

54 papers receiving 2.1k citations

Peers

Thirugnanam Umapathi
Comparison fields: 5 of 117
  • Neurology 1.1k
  • Infectious Diseases 553
  • Cellular and Molecular Neuroscience 426
  • Physiology 434
  • Epidemiology 447
Replace Osvaldo J. M. Nascimento with:
Osvaldo J. M. Nascimento Brazil
Katrin Hahn Germany
J. Bruxelle France
Manish Modi India
T. de Broucker France
Tommaso Tartaglione Italy
Uta Meyding‐Lamadé Germany
Kiran T. Thakur United States
Jane T. Atkins United States
P.I.M. Schmitz Netherlands
Thirugnanam Umapathi relative to Osvaldo J. M. Nascimento Brazil Osvaldo J. M. Nascimento's profile →
Citations per field
00.5×
Osvaldo J. M. Nascimento · 1×
Citations per year

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

The 25 scholars most cited alongside Thirugnanam Umapathi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Thirugnanam Umapathi Line = papers co-authored together Thirugnanam Umapathi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 20230
4 20225
5 20215
6 20203
7 202035
8 20199
9 201521
10 20139
11 201220
12 201212
13 201194
14 2010366
15 200651
16 200522
17 2004206
18 20046
19 200218
20 200014

About Thirugnanam Umapathi

Thirugnanam Umapathi is a scholar working on Neurology, Cellular and Molecular Neuroscience, Ophthalmology, Infectious Diseases and Family Practice, having authored 57 papers that have together received 2.1k indexed citations. Recurring topics across this work include Peripheral Neuropathies and Disorders (23 papers), Hereditary Neurological Disorders (15 papers), Long-Term Effects of COVID-19 (7 papers), Nerve injury and regeneration (6 papers), Multiple Sclerosis Research Studies (4 papers), Infectious Encephalopathies and Encephalitis (4 papers), Autoimmune Neurological Disorders and Treatments (4 papers) and Pain Mechanisms and Treatments (4 papers). The work is most often cited by research in Neurology (1.1k citations), Infectious Diseases (553 citations), Cellular and Molecular Neuroscience (426 citations), Physiology (434 citations) and Epidemiology (447 citations). Thirugnanam Umapathi has collaborated with scholars based in Singapore, Malaysia and United Kingdom. Frequent co-authors include Yiong Huak Chan, Cheng Chuan Lee, Richard AC Hughes, Nobuhiro Yuki, Wan Loo Tan, Nigel CK Tan, Catharina G. Faber, Christoph Schmitz, A. Gordon Smith and Raffaella Lombardi. Their work appears in journals such as Journal of the Peripheral Nervous System, Cochrane Database of Systematic Reviews, Muscle & Nerve, Cerebrovascular Diseases and Journal of Neurology Neurosurgery & Psychiatry.

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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