Alberto Farolfi

2.7k citations
63 papers · 1.1k · h-index 19

Impact in

  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • Inflammatory Biomarkers in Disease Prognosis
    • Breast Cancer Treatment Studies

Papers in

Alberto Farolfi

57 papers receiving 1.0k citations

Peers

Alberto Farolfi
Comparison fields: 5 of 88
  • Oncology 470
  • Cancer Research 153
  • Pulmonary and Respiratory Medicine 256
  • Reproductive Medicine 68
  • Immunology 96
Replace Javier Gómez with:
Javier Gómez United States
Laura Pizzuti Italy
G. Dark United Kingdom
Els O. Witteveen Netherlands
Mireille Mousseau France
Yuko Sugiyama Japan
Davide Lombardi Italy
Yiqun Zhang United States
Shingo Kamoshida Japan
D. Roychowdhury United States
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Citations per field
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Citations per year

Countries citing papers authored by Alberto Farolfi

Since Specialization
Citations

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

Fields of papers citing papers by Alberto Farolfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201384
2 201379
3 201563
4 201951
5 201248
6 201245
7 201844
8 201643
9 201738
10 201733
11 202132
12 201426
13 201825
14 202024
15 202122
16 201621
17 201920
18 201520
19 201919
20 202018

About Alberto Farolfi

Alberto Farolfi is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Reproductive Medicine and Surgery, having authored 63 papers that have together received 1.1k indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (10 papers), Prostate Cancer Treatment and Research (8 papers), Breast Cancer Treatment Studies (7 papers), Endometrial and Cervical Cancer Treatments (7 papers), Cancer Genomics and Diagnostics (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), HER2/EGFR in Cancer Research (6 papers) and PARP inhibition in cancer therapy (5 papers). The work is most often cited by research in Oncology (470 citations), Cancer Research (153 citations), Pulmonary and Respiratory Medicine (256 citations), Reproductive Medicine (68 citations) and Immunology (96 citations). Alberto Farolfi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Dino Amadori, Andrea Rocca, Ugo De Giorgi, Emanuela Scarpi, Sara Bravaccini, Alessio Schirone, Giuseppe Schepisi, Vincenza Conteduca, Cristian Lolli and Toni Ibrahim. Their work appears in journals such as Frontiers in Oncology, Cancers, International Journal of Gynecological Cancer, International Journal of Molecular Sciences and Breast Cancer Research and Treatment.

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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