Carmen Capone

1.5k citations
18 papers · 1.2k · h-index 16

Impact in

  • Neurology top 2%
    • Neurological Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Cerebrovascular and genetic disorders
    • Neurological Disorders and Treatments

Papers in

Carmen Capone

18 papers receiving 1.2k citations

Peers

Carmen Capone
Comparison fields: 5 of 88
  • Neurology 497
  • Neurology 295
  • Developmental Neuroscience 72
  • Physiology 401
  • Biochemistry 81
Replace Dong-In Sinn with:
Dong-In Sinn South Korea
Kelly Frys United States
Thomas A. Longden United States
Eiharu Morikawa Japan
Nobuo Araki Japan
Jianya Ma United States
Pierre Lacombe France
Izumi Harukuni United States
Ken Kazama Japan
Ernesto R. Gonzales United States
Carmen Capone relative to Dong-In Sinn South Korea Dong-In Sinn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Carmen Capone

Since Specialization
Citations

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

Fields of papers citing papers by Carmen Capone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2008270
2 2008171
3 200798
4 201095
5 201287
6 201376
7 201569
8 201258
9 201657
10 200746
11 201045
12 201834
13 200933
14 201332
15 201524
16 201322
17 200613
18 20121

About Carmen Capone

Carmen Capone is a scholar working on Physiology, Cardiology and Cardiovascular Medicine, Neurology, Neurology and Molecular Biology, having authored 18 papers that have together received 1.2k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Nitric Oxide and Endothelin Effects (5 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Cerebrovascular and genetic disorders (3 papers), Alzheimer's disease research and treatments (2 papers), Cell Adhesion Molecules Research (2 papers), Neurological Disease Mechanisms and Treatments (2 papers) and S100 Proteins and Annexins (2 papers). The work is most often cited by research in Neurology (497 citations), Neurology (295 citations), Developmental Neuroscience (72 citations), Physiology (401 citations) and Biochemistry (81 citations). Carmen Capone has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Costantino Iadecola, Laibaik Park, Josef Anrather, Giuseppe Faraco, Ping Zhou, Robin L. Davisson, Teresa A. Milner, Linda H. Younkin, Bruce S. McEwen and Steven G. Younkin. Their work appears in journals such as Stroke, Hypertension, Journal of Neuroscience, American Journal of Physiology-Heart and Circulatory Physiology and Annals of Neurology.

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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