T. E. Bertoríni

2.7k citations
30 papers · 893 · h-index 13

Impact in

Papers in

    • Muscle Physiology and Disorders 9
    • Nuclear Structure and Function 3
    • Myasthenia Gravis and Thymoma 4
    • Peripheral Neuropathies and Disorders 3

T. E. Bertoríni

30 papers receiving 856 citations

Peers

T. E. Bertoríni
Comparison fields: 5 of 75
  • Clinical Biochemistry 223
  • Neurology 123
  • Molecular Biology 575
  • Cellular and Molecular Neuroscience 146
  • Rehabilitation 40
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J. Mendell United States
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Citations per year

Countries citing papers authored by T. E. Bertoríni

Since Specialization
Citations

This map shows the geographic impact of T. E. Bertoríni'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 T. E. Bertoríni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. E. Bertoríni more than expected).

Fields of papers citing papers by T. E. Bertoríni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by T. E. Bertoríni. 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 T. E. Bertoríni. The network helps show where T. E. Bertoríni may publish in the future.

Co-authors

The 25 scholars most cited alongside T. E. Bertoríni, 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 T. E. Bertoríni Line = papers co-authored together T. E. Bertoríni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994311
2 2011109
3 199697
4
Eccentric muscle performance of elbow and knee muscle groups in untrained men and women.
199356
5 198549
6 198447
7 198838
8 198525
9 198522
10 199519
11 198117
12 199714
13 199413
14 197812
15
Investigations of 3 cases of a newly recognized familial, congenital myasthenic syndrome.
197911
16
Staphylococcal pyomyositis with idiopathic dermatomyositis.
19899
17 19948
18 19976
19 19855
20 19915

About T. E. Bertoríni

T. E. Bertoríni is a scholar working on Molecular Biology, Neurology, Epidemiology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 30 papers that have together received 893 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (9 papers), Inflammatory Myopathies and Dermatomyositis (4 papers), Myasthenia Gravis and Thymoma (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Peripheral Neuropathies and Disorders (3 papers), Nuclear Structure and Function (3 papers), Bacterial Infections and Vaccines (2 papers) and Genetic Neurodegenerative Diseases (2 papers). The work is most often cited by research in Clinical Biochemistry (223 citations), Neurology (123 citations), Molecular Biology (575 citations), Cellular and Molecular Neuroscience (146 citations) and Rehabilitation (40 citations). T. E. Bertoríni has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include S. DiMauro, Arthur P. Hays, E. Bonilla, Carlo Minetti, Robert E. Lovelace, Anne Lombès, Michio Hirano, Gabriella Silvestri, Hiroshi Mitsumoto and Anisa B. Threlkeld. Their work appears in journals such as Neurology, Neuromuscular Disorders, Medicine & Science in Sports & Exercise, Acta Neuropathologica and Journal of Neuroimaging.

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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