Nora Sahnane

1.9k citations
58 papers · 1.3k · h-index 20

Impact in

  • Oncology top 5%
    • Lung Cancer Research Studies
    • Pancreatic and Hepatic Oncology Research
    • Cancer Genomics and Diagnostics

Papers in

    • Colorectal Cancer Treatments and Studies 7
    • PARP inhibition in cancer therapy 5
    • Pancreatic and Hepatic Oncology Research 5
    • Genetic factors in colorectal cancer 17

Nora Sahnane

57 papers receiving 1.2k citations

Peers

Nora Sahnane
Comparison fields: 5 of 72
  • Oncology 549
  • Cancer Research 242
  • Pathology and Forensic Medicine 195
  • Neurology 161
  • Epidemiology 349
Replace Hui‐Lan Rao with:
Hui‐Lan Rao China
Hongfen Lu China
Kyaw Aung Canada
Ondřej Daum Czechia
Olga Balagué Spain
Eva Rambech Sweden
Eiichi Sasaki Japan
Yasumasa Monobe Japan
Yoshinao Oda Japan
Younghye Kim South Korea
Nora Sahnane relative to Hui‐Lan Rao China Hui‐Lan Rao's profile →
Citations per field
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Citations per year

Countries citing papers authored by Nora Sahnane

Since Specialization
Citations

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

Fields of papers citing papers by Nora Sahnane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014132
2 2012126
3 201088
4 201856
5 201455
6 201852
7 201549
8 201449
9 201239
10 201439
11 201938
12 200832
13 201230
14 200729
15 201528
16 202027
17 201526
18 201726
19 201020
20 201619

About Nora Sahnane

Nora Sahnane is a scholar working on Oncology, Pathology and Forensic Medicine, Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (17 papers), Cancer Genomics and Diagnostics (10 papers), Colorectal Cancer Treatments and Studies (7 papers), PARP inhibition in cancer therapy (5 papers), Pancreatic and Hepatic Oncology Research (5 papers), CRISPR and Genetic Engineering (5 papers), BRCA gene mutations in cancer (4 papers) and Neuroendocrine Tumor Research Advances (4 papers). The work is most often cited by research in Oncology (549 citations), Cancer Research (242 citations), Pathology and Forensic Medicine (195 citations), Neurology (161 citations) and Epidemiology (349 citations). Nora Sahnane has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Daniela Furlan, Carlo Capella, Fausto Sessa, Stefano La Rosa, Alessandro Marando, Maria Grazia Tibiletti, Anna Maria Chiaravalli, Ileana Carnevali, Chiara Romualdi and Alessandro Vanoli. Their work appears in journals such as Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Cancers, Clinical Epigenetics, Human Pathology and Frontiers in Oncology.

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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