Isabel Canto

1.6k citations
6 papers · 262 · h-index 5

Impact in

    • Alzheimer's disease research and treatments
    • Blood Coagulation and Thrombosis Mechanisms

Papers in

    • Prion Diseases and Protein Misfolding 2
    • Receptor Mechanisms and Signaling 2
    • Biochemical and Structural Characterization 1
    • Blood Coagulation and Thrombosis Mechanisms 2

Isabel Canto

6 papers receiving 259 citations

Peers

Isabel Canto
Comparison fields: 5 of 54
  • Physiology 143
  • Hematology 39
  • Neurology 26
  • Cellular and Molecular Neuroscience 45
  • Cell Biology 38
Replace Robert Neely with:
Robert Neely United States
Yves Leestemaker Netherlands
Marta Marin‐Argany Spain
Pinaki Misra United States
Gökhan Güner Germany
Keith Del Villar United States
Christina Looße Germany
Laura Rodríguez‐Pascau Spain
Cristian Galván Argentina
Jiahui Xia China
Isabel Canto relative to Robert Neely United States Robert Neely's profile →
Citations per field
00.5×3.5×
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Citations per year

Countries citing papers authored by Isabel Canto

Since Specialization
Citations

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

Fields of papers citing papers by Isabel Canto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Isabel Canto, 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 Isabel Canto Line = papers co-authored together Isabel Canto links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 2010128
2 201154
3 200937
4 201222
5 201318
6 20203

About Isabel Canto

Isabel Canto is a scholar working on Molecular Biology, Hematology, Cell Biology, Physiology and Surgery, having authored 6 papers that have together received 262 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (2 papers), Prion Diseases and Protein Misfolding (2 papers), Cellular transport and secretion (2 papers), Receptor Mechanisms and Signaling (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Spine and Intervertebral Disc Pathology (1 paper), Point processes and geometric inequalities (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Physiology (143 citations), Hematology (39 citations), Neurology (26 citations), Cellular and Molecular Neuroscience (45 citations) and Cell Biology (38 citations). Isabel Canto has collaborated with scholars based in United States and Slovenia. Frequent co-authors include JoAnn Trejo, Charles Glabe, Tamás Lukácsovich, Ricardo Albay, Anna Pensalfini, Suhail Rasool, Stephen T. Yeung, Jessica Wu, Elizabeth Head and Leonid Breydo. Their work appears in journals such as Journal of Biological Chemistry, Molecular Neurodegeneration, Mini-Reviews in Medicinal Chemistry, Neurobiology of Disease and Female Pelvic Medicine & Reconstructive Surgery.

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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