Nora Sánchez

3.3k citations
20 papers · 525 · h-index 14

Impact in

Papers in

    • Congenital heart defects research 4
    • TGF-β signaling in diseases 3
    • Bioinformatics and Genomic Networks 2
    • Biomedical Text Mining and Ontologies 2
    • Cancer Genomics and Diagnostics 8

Nora Sánchez

19 papers receiving 514 citations

Peers

Nora Sánchez
Comparison fields: 5 of 69
  • Cancer Research 152
  • Oncology 117
  • Pulmonary and Respiratory Medicine 120
  • Molecular Biology 243
  • Pathology and Forensic Medicine 56
Replace Mariangela Balistreri with:
Mariangela Balistreri Italy
Hege O. Ohnstad Norway
Jeroen van den Akker United States
Takaaki Imamura Japan
Tessa G. Steenbruggen Netherlands
Takeshi Hirasawa Japan
Fernanda I. Arnaldez United States
David G. Darcy United States
Reinaldo Chacón Argentina
Antonio Fernández‐Serra Spain
Nora Sánchez relative to Mariangela Balistreri Italy Mariangela Balistreri's profile →
Citations per field
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Mariangela Balistreri · 1×
Citations per year

Countries citing papers authored by Nora Sánchez

Since Specialization
Citations

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

Fields of papers citing papers by Nora Sánchez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2017137
2 201152
3 201843
4 201942
5 201239
6 201731
7 201129
8 201726
9 201322
10 201918
11 201617
12 201616
13 200715
14 201714
15 201710
16 20198
17 20194
18 20201
19 20181
20 20090

About Nora Sánchez

Nora Sánchez is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Oncology, having authored 20 papers that have together received 525 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Congenital heart defects research (4 papers), Cardiac Fibrosis and Remodeling (4 papers), TGF-β signaling in diseases (3 papers), Lung Cancer Treatments and Mutations (3 papers), Bioinformatics and Genomic Networks (2 papers), Biomedical Text Mining and Ontologies (2 papers) and Colorectal Cancer Treatments and Studies (2 papers). The work is most often cited by research in Cancer Research (152 citations), Oncology (117 citations), Pulmonary and Respiratory Medicine (120 citations), Molecular Biology (243 citations) and Pathology and Forensic Medicine (56 citations). Nora Sánchez has collaborated with scholars based in United States, Hungary and Brazil. Frequent co-authors include Joey V. Barnett, Kenna Shaw, Funda Meric‐Bernstam, Gordon B. Mills, Jia Zeng, Vijaykumar Holla, Yekaterina B. Khotskaya, Ann M. Bailey, Md Abu Shufean and Beate C. Litzenburger. Their work appears in journals such as Cellular Signalling, Clinical Cancer Research, JCO Precision Oncology, Journal of Clinical Oncology and Journal of the American Medical Informatics Association.

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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