G. Paolo Dotto

15.5k citations
134 papers · 12.4k indexed · 1 hit paper · h-index 64
  • Oncology top 0.5%
    • Cancer-related Molecular Pathways 24
  • Urology top 0.5%
  • Cell Biology top 0.5%
    • Skin and Cellular Biology Research 12
    • Wnt/β-catenin signaling in development and cancer 18
    • Developmental Biology and Gene Regulation 18
    • Epigenetics and DNA Methylation 15
    • Hedgehog Signaling Pathway Studies 12
    • Fibroblast Growth Factor Research 12
    • Cancer-related gene regulation 12

G. Paolo Dotto

134 papers receiving 12.1k citations

Hit Papers

Notch1 functions as a tumor suppressor in mouse skin7762003202620102018250500750

Peers

G. Paolo Dotto
Comparison fields: 5 of 142
  • Oncology 3.7k
  • Urology 822
  • Cell Biology 2.0k
  • Molecular Biology 8.3k
  • Cancer Research 1.8k
Replace Jeffrey S. Rubin with:
Jeffrey S. Rubin United States
Eleonora Candi Italy
Scott R. Granter United States
Adam B. Glick United States
Richard Poulsom United Kingdom
Glenn Merlino United States
Lionel Larue France
Annie Yang United States
Freddy Radtke Switzerland
Michael Ittmann United States
G. Paolo Dotto relative to Jeffrey S. Rubin United States Jeffrey S. Rubin's profile →
Citations per field
00.5×
Jeffrey S. Rubin · 1×
Citations per year

Countries citing papers authored by G. Paolo Dotto

Since Specialization
Citations

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

Fields of papers citing papers by G. Paolo Dotto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Paolo Dotto. 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 G. Paolo Dotto. The network helps show where G. Paolo Dotto may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20245
2 20245
3 20231
4 202036
5 202011
6 2019132
7 201418
8 201452
9 201445
10 201193
11 201027
12 201036
13 201077
14 2010123
15 2009143
16 2008159
17 2006243
18 200526
19 2004160
20 20047

About G. Paolo Dotto

G. Paolo Dotto is a scholar working on Oncology, Molecular Biology and Cell Biology, having authored 134 papers that have together received 12.4k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (24 papers), Wnt/β-catenin signaling in development and cancer (18 papers), Developmental Biology and Gene Regulation (18 papers), Epigenetics and DNA Methylation (15 papers), Hedgehog Signaling Pathway Studies (12 papers), Skin and Cellular Biology Research (12 papers), Fibroblast Growth Factor Research (12 papers) and Cancer-related gene regulation (12 papers). The work is most often cited by research in Oncology (3.7k citations), Urology (822 citations) and Cell Biology (2.0k citations). G. Paolo Dotto has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Karine Lefort, Enzo Calautti, Caterina Missero, Berna C. Özdemir, Robert A. Weinberg, Janice L. Brissette, Ferdinando Di Cunto, Claudio Talora, Anil K. Rustgi and Paola Ostano. Their work appears in journals such as Proceedings of the National Academy of Sciences, Genes & Development, Nature Communications, Journal of Clinical Investigation and Journal of Biological Chemistry.

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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