Francesco Gatto

2.5k total citations
35 papers, 879 citations indexed

About

Francesco Gatto is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Francesco Gatto has authored 35 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 14 papers in Cancer Research and 9 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Francesco Gatto's work include Cancer, Hypoxia, and Metabolism (10 papers), Renal cell carcinoma treatment (7 papers) and Bladder and Urothelial Cancer Treatments (7 papers). Francesco Gatto is often cited by papers focused on Cancer, Hypoxia, and Metabolism (10 papers), Renal cell carcinoma treatment (7 papers) and Bladder and Urothelial Cancer Treatments (7 papers). Francesco Gatto collaborates with scholars based in Sweden, Italy and Denmark. Francesco Gatto's co-authors include Jens Nielsen, Intawat Nookaew, Adil Mardinoğlu, Angelo Limeta, Max Levin, Almut Schulze, Boyang Ji, Petri‐Jaan Lahtvee, Ibrahim E. Elsemman and Benjamín J. Sánchez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Francesco Gatto

29 papers receiving 865 citations

Peers

Francesco Gatto
Comparison fields: 5 of 101
  • Molecular Biology 678
  • Cancer Research 214
  • Oncology 120
  • Pulmonary and Respiratory Medicine 107
  • Cell Biology 82
Replace Federica Brugnoli with:
Federica Brugnoli Italy
Shelley J. Edmunds New Zealand
Aline Hébrant Belgium
Yotsawat Pomyen Thailand
Carmen Aanei France
Jae Ho Seo United States
Bixin Xi China
Song Zhao China
Wen‐Ming Cao China
Yifei Zhu China
Federica Brugnoli Italy View profile →
Citations per field, relative to Francesco Gatto
Francesco Gatto · 1×
Citations per year, relative to Francesco Gatto
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Countries citing papers authored by Francesco Gatto

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Gatto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Gatto

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Gatto. A scholar is included among the top collaborators of Francesco Gatto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Francesco Gatto. Francesco Gatto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 3
4 2
5 4
6 21
7 10
8 17
9 12
10 9
11 5
12 7
13 14
14 42
15 23
16 135
17 16
18 71
19 83
20 37

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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