Isaac Rosa

769 citations
20 papers · 561 · h-index 14

Impact in

Papers in

    • Platelet Disorders and Treatments 9
    • Phosphodiesterase function and regulation 2
    • Prion Diseases and Protein Misfolding 2
    • Receptor Mechanisms and Signaling 2
    • Extracellular vesicles in disease 2

Isaac Rosa

19 papers receiving 555 citations

Peers

Isaac Rosa
Comparison fields: 5 of 67
  • Hematology 202
  • Internal Medicine 34
  • Neurology 64
  • Cardiology and Cardiovascular Medicine 129
  • Cancer Research 83
Replace Christelle Nonne with:
Christelle Nonne France
John H. Cleator United States
Adam J. Cotterell Australia
Constanze Blume Germany
Anne C. Brisset Switzerland
Bernice M. Martin United States
P K Schick United States
Raymond Piatt United States
Ruo-Pan Huang United States
Maarten Vanwildemeersch Sweden
Isaac Rosa relative to Christelle Nonne France Christelle Nonne's profile →
Citations per field
00.5×9.1×
Christelle Nonne · 1×
Citations per year

Countries citing papers authored by Isaac Rosa

Since Specialization
Citations

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

Fields of papers citing papers by Isaac Rosa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2016112
2 201278
3 201063
4 200947
5 201439
6 201136
7 201530
8 201225
9 201221
10 201016
11 201615
12 201414
13 201814
14 201613
15 201713
16 201612
17 20215
18 20184
19
Intoxicação crônica por cobre em caninos
19823
20
¿La realidad se impone?: coloquio
20181

About Isaac Rosa

Isaac Rosa is a scholar working on Hematology, Molecular Biology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Cancer Research, having authored 20 papers that have together received 561 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (9 papers), Blood properties and coagulation (3 papers), Protease and Inhibitor Mechanisms (3 papers), Phosphodiesterase function and regulation (2 papers), Prion Diseases and Protein Misfolding (2 papers), Receptor Mechanisms and Signaling (2 papers), Neurological diseases and metabolism (2 papers) and Extracellular vesicles in disease (2 papers). The work is most often cited by research in Hematology (202 citations), Internal Medicine (34 citations), Neurology (64 citations), Cardiology and Cardiovascular Medicine (129 citations) and Cancer Research (83 citations). Isaac Rosa has collaborated with scholars based in Spain, United States and United Kingdom. Frequent co-authors include Ángel Galindo García, José Ramón González‐Juanatey, Jana Alonso, David Varon, Ela Shai, Elvis Teijeira‐Fernández, Jesús R. Requena, Lilián Grigorian-Shamagian, Rosa M. Agra and Esteban Guitián. Their work appears in journals such as Journal of Proteomics, PLoS ONE, PLoS Pathogens, Scientific Reports and PROTEOMICS - CLINICAL APPLICATIONS.

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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