A Tedoldi

407 citations
14 papers · 282 · h-index 8

Impact in

Papers in

A Tedoldi

13 papers receiving 276 citations

Peers

A Tedoldi
Comparison fields: 5 of 58
  • Developmental Neuroscience 55
  • Cellular and Molecular Neuroscience 118
  • Neurology 35
  • Biological Psychiatry 9
  • Cognitive Neuroscience 47
Replace Yumiko Iwamoto with:
Yumiko Iwamoto Japan
Tiago M. Rodrigues Portugal
Hualin Yu China
M. W. Seeliger Germany
Sarah C. Borrie Belgium
Minerva Contreras United States
Lourdes Lorigados Pedré Cuba
Alberto González de la Vega Spain
Seungnam Han South Korea
Ronen Eavri Israel
A Tedoldi relative to Yumiko Iwamoto Japan Yumiko Iwamoto's profile →
Citations per field
00.5×1.7×
Yumiko Iwamoto · 1×
Citations per year

Countries citing papers authored by A Tedoldi

Since Specialization
Citations

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

Fields of papers citing papers by A Tedoldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 201766
2 201841
3 201735
4 201931
5 202129
6 201526
7 202018
8 202016
9 20196
10
[Hepato-renal polycystosis, Marfan's syndrome and spina bifida occulta: a complex association. Description of a clinical case].
19886
11 20245
12 20211
13
[Contribution to the interpretation of electrocardiographical tests of coronary reserve: pseudo-improvement of the T wave].
19631
14
[Clinico-experimental data on the therapeutic use of oxolamine].
19621

About A Tedoldi

A Tedoldi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cardiology and Cardiovascular Medicine, Cognitive Neuroscience and Developmental Neuroscience, having authored 14 papers that have together received 282 indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (3 papers), Ion channel regulation and function (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Memory and Neural Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Biomarkers in Disease Mechanisms (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Developmental Neuroscience (55 citations), Cellular and Molecular Neuroscience (118 citations), Neurology (35 citations), Biological Psychiatry (9 citations) and Cognitive Neuroscience (47 citations). A Tedoldi has collaborated with scholars based in Australia, United Kingdom and New Zealand. Frequent co-authors include Pankaj Sah, Sarah Hunt, Nicola Watts, Perry F. Bartlett, R Sullivan, John Power, Dhanisha J. Jhaveri, Johanna M. Montgomery, Elizabeth J. Coulson and Damian M. Cummings. Their work appears in journals such as Nature Communications, American Journal of Physiology-Cell Physiology, Cerebral Cortex, Molecular Psychiatry and Nature Neuroscience.

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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