Concetta Altamura

700 citations
37 papers · 518 · h-index 15

Impact in

Papers in

Concetta Altamura

36 papers receiving 514 citations

Peers

Concetta Altamura
Comparison fields: 5 of 72
  • Cellular and Molecular Neuroscience 210
  • Cardiology and Cardiovascular Medicine 201
  • Sensory Systems 32
  • Molecular Biology 378
  • Neurology 39
Replace Juncal Fernández‐Orth with:
Juncal Fernández‐Orth Germany
Fabiana Fattori Italy
George Vaniotis Canada
Jessica A. Hennessey United States
Jocelyne Barbaria France
Nadine Reichhart Germany
Angela C. De Almeida United States
Onyekwere Onwumere United States
Ilse Vandecaetsbeek Belgium
Anju A. Roy Canada
Concetta Altamura relative to Juncal Fernández‐Orth Germany Juncal Fernández‐Orth's profile →
Citations per field
00.5×2.9×
Juncal Fernández‐Orth · 1×
Citations per year

Countries citing papers authored by Concetta Altamura

Since Specialization
Citations

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

Fields of papers citing papers by Concetta Altamura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201550
2 201339
3 202138
4 202326
5 201526
6 202226
7 202026
8 202025
9 201924
10 201724
11 201523
12 202121
13 201619
14 202017
15 201715
16 201814
17 201814
18 202013
19 202312
20 20177

About Concetta Altamura

Concetta Altamura is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Hematology and Organic Chemistry, having authored 37 papers that have together received 518 indexed citations. Recurring topics across this work include Ion channel regulation and function (29 papers), Cardiac electrophysiology and arrhythmias (17 papers), Genetic Neurodegenerative Diseases (14 papers), Nicotinic Acetylcholine Receptors Study (4 papers), Multiple Myeloma Research and Treatments (4 papers), Ion Channels and Receptors (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Coordination Chemistry and Organometallics (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (210 citations), Cardiology and Cardiovascular Medicine (201 citations), Sensory Systems (32 citations), Molecular Biology (378 citations) and Neurology (39 citations). Concetta Altamura has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Jean‐François Desaphy, Paola Imbrici, Diana Conte Camerino, Lorenzo Maggi, Renato Mantegazza, Mauro Pessia, Maria Rosaria Carratù, Silvia Bonanno, Ilaria Saltarella and Paola Gavazzo. Their work appears in journals such as Experimental Neurology, Cancers, Biomedicines, Journal of Neuromuscular Diseases and International Journal of Molecular Sciences.

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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