Maria Cotugno

1.2k citations
44 papers · 705 · h-index 16

Impact in

  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Neurological Disease Mechanisms and Treatments
    • Heart Failure Treatment and Management
    • Cardiovascular Function and Risk Factors

Papers in

Maria Cotugno

42 papers receiving 695 citations

Peers

Maria Cotugno
Comparison fields: 5 of 86
  • Neurology 88
  • Cardiology and Cardiovascular Medicine 207
  • Physiology 144
  • Clinical Biochemistry 33
  • Geriatrics and Gerontology 18
Replace Simona Marchitti with:
Simona Marchitti Italy
Jing-Cheng Li China
Weijian Hang China
Siobhan M. Craige United States
Minh Deo Australia
Philipp S. Lange Germany
Minshu Wang China
Goro Katsuumi Japan
Xuliang Huang China
Maria Cotugno relative to Simona Marchitti Italy Simona Marchitti's profile →
Citations per field
00.5×1.5×
Simona Marchitti · 1×
Citations per year

Countries citing papers authored by Maria Cotugno

Since Specialization
Citations

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

Fields of papers citing papers by Maria Cotugno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202071
2 201970
3 201349
4 202037
5 202136
6 201531
7 201331
8 201528
9 201727
10 201822
11 202019
12 202019
13 202119
14 201918
15 202018
16 202318
17 201715
18 202414
19 202014
20 202014

About Maria Cotugno

Maria Cotugno is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Physiology, Epidemiology and Neurology, having authored 44 papers that have together received 705 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (9 papers), Adipose Tissue and Metabolism (9 papers), Heart Failure Treatment and Management (7 papers), Autophagy in Disease and Therapy (6 papers), ATP Synthase and ATPases Research (4 papers), Cardiovascular Function and Risk Factors (4 papers), Fatty Acid Research and Health (3 papers) and Sphingolipid Metabolism and Signaling (3 papers). The work is most often cited by research in Neurology (88 citations), Cardiology and Cardiovascular Medicine (207 citations), Physiology (144 citations), Clinical Biochemistry (33 citations) and Geriatrics and Gerontology (18 citations). Maria Cotugno has collaborated with scholars based in Italy, United States and Belgium. Frequent co-authors include Rosita Stanzione, Franca Bianchi, Speranza Rubattu, Simona Marchitti, Massimo Volpe, Maurizio Forte, Sebastiano Sciarretta, Michele Madonna, Sara Di Castro and Speranza Rubattu. Their work appears in journals such as Journal of Hypertension, Journal of Clinical Medicine, Cell Death and Disease, International Journal of Molecular Sciences and International Journal of Cardiology.

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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