Gaetano Leto

1.7k citations
59 papers · 1.3k indexed · h-index 22

Gaetano Leto

59 papers receiving 1.3k citations

Peers

Gaetano Leto
Comparison fields: 5 of 103
  • Cancer Research 386
  • Oncology 403
  • Hepatology 88
  • Immunology and Allergy 67
  • Molecular Biology 524
Replace Marie‐Françoise Bourgeade with:
Marie‐Françoise Bourgeade France
Luc Desnoyers United States
Fang Su China
Keishi Fujiwara Japan
Julia A. Sensibar United States
Vladislav Temkin United States
Kouji Matsushima Japan
Régis Masson France
Yasufumi Goto Japan
Misako Haraguchi Japan
Gaetano Leto relative to Marie‐Françoise Bourgeade France Marie‐Françoise Bourgeade's profile →
Citations per field
00.5×1.5×1.9×
Marie‐Françoise Bourgeade · 1×
Citations per year

Countries citing papers authored by Gaetano Leto

Since Specialization
Citations

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

Fields of papers citing papers by Gaetano Leto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20205
2 201847
3 201589
4 201415
5 20105
6 201025
7 201019
8 200830
9 200697
10 200524
11 200470
12 200417
13 20036
14 199750
15 199619
16
STEFIN A AND CATHEPSIN B AND L CIRCULATING SERUM LEVELS IN PATIENTS WITH MALIGNANT OR NON-MALIGNANT LIVER DISEASES : A PRELIMINARY REPORT
19954
17 199523
18 199512
19
Effects of E-64 (cysteine-proteinase inhibitor) and pepstatin (aspartyl-proteinase inhibitor) on metastasis formation in mice with mammary and ovarian tumors.
199424
20 19887

About Gaetano Leto

Gaetano Leto is a scholar working on Cancer Research, Applied Microbiology and Biotechnology and Oncology, having authored 59 papers that have together received 1.3k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (17 papers), Bone Metabolism and Diseases (11 papers), Bone health and treatments (11 papers), Peptidase Inhibition and Analysis (5 papers), TGF-β signaling in diseases (5 papers), Chemotherapy-induced cardiotoxicity and mitigation (5 papers), Liver Disease Diagnosis and Treatment (4 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Cancer Research (386 citations), Oncology (403 citations) and Hepatology (88 citations). Gaetano Leto has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Carla Flandina, Francesca Maria Tumminello, Marilena Crescimanno, Nicola Gebbia, Vittorio Gebbia, Giuseppe Badalamenti, Lorena Incorvaia, Giuseppe Pizzolanti, L Rausa and Giuseppe Montalto. Their work appears in journals such as Small Ruminant Research, Clinical & Experimental Metastasis, International Journal of Oncology, Oncology and Life Sciences.

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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