L. Bortot

406 citations
17 papers · 225 · h-index 6

Impact in

Papers in

    • Cancer Treatment and Pharmacology 3
    • HER2/EGFR in Cancer Research 3
    • Inflammatory Biomarkers in Disease Prognosis 2
    • Cancer Genomics and Diagnostics 4
    • Breast Cancer Treatment Studies 4
    • Cancer, Lipids, and Metabolism 2

L. Bortot

15 papers receiving 218 citations

Peers

L. Bortot
Comparison fields: 5 of 61
  • Otorhinolaryngology 22
  • Oncology 83
  • Pulmonary and Respiratory Medicine 94
  • Cancer Research 35
  • Dermatology 18
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Emi Ibuki Japan
Denis Braun France
Michelle Nottage Australia
Carmen Salvador Coloma Spain
Emil ter Veer Netherlands
Mykola Onyshchenko United States
Panagiotis Katsaounis Greece
Lynn J. Poole Perry United States
Nabilah Ali United States
Haocan Song United States
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Citations per field
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Citations per year

Countries citing papers authored by L. Bortot

Since Specialization
Citations

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

Fields of papers citing papers by L. Bortot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201991
2 201944
3 202024
4 202020
5 202018
6 20219
7 20224
8 20213
9 20213
10 20222
11 20182
12 20191
13 20181
14 20201
15 20191
16 20211
17 20190

About L. Bortot

L. Bortot is a scholar working on Oncology, Cancer Research, Pulmonary and Respiratory Medicine, Reproductive Medicine and Computer Networks and Communications, having authored 17 papers that have together received 225 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Advanced Breast Cancer Therapies (4 papers), Breast Cancer Treatment Studies (4 papers), Cancer Treatment and Pharmacology (3 papers), HER2/EGFR in Cancer Research (3 papers), Inflammatory Biomarkers in Disease Prognosis (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). The work is most often cited by research in Otorhinolaryngology (22 citations), Oncology (83 citations), Pulmonary and Respiratory Medicine (94 citations), Cancer Research (35 citations) and Dermatology (18 citations). L. Bortot has collaborated with scholars based in Italy and United States. Frequent co-authors include Fabio Puglisi, Michele Bartoletti, Lorenzo Gerratana, Giacomo Pelizzari, Debora Basile, C. Lisanti, Davide Lombardi, Lucia Da Ros, Carla Corvaja and Silvio Ken Garattini. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Frontiers in Oncology, Cancers and International Journal of Gynecological Cancer.

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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