Valeria Pavet

1.5k citations
17 papers · 1.2k indexed · 1 hit paper · h-index 13
  • Aging top 10%
    • Genetics, Aging, and Longevity in Model Organisms 2
    • Plant-Microbe Interactions and Immunity 3
    • Plant Stress Responses and Tolerance 2
    • Melanoma and MAPK Pathways 4
    • Cell death mechanisms and regulation 3
    • Pluripotent Stem Cells Research 2
    • Cancer-related molecular mechanisms research 3
    • melanin and skin pigmentation 2

Valeria Pavet

17 papers receiving 1.1k citations

Hit Papers

The journey from melanocytes to melanoma942023202620242025255075

Peers

Valeria Pavet
Comparison fields: 5 of 89
  • Aging 34
  • Plant Science 610
  • Molecular Biology 672
  • Cancer Research 94
  • Immunology 85
Replace Alexander Kagansky with:
Alexander Kagansky United Kingdom
Martin Ligr United States
H. Gut Switzerland
Ahmed H. Hassan United Arab Emirates
Parag P. Sadhale India
Dong-Uk Kim South Korea
Henrik Zauber Germany
Jim Dover United States
Tong Gao China
H.M. Pereira Brazil
Valeria Pavet relative to Alexander Kagansky United Kingdom Alexander Kagansky's profile →
Citations per field
00.5×1.7×
Alexander Kagansky · 1×
Citations per year

Countries citing papers authored by Valeria Pavet

Since Specialization
Citations

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

Fields of papers citing papers by Valeria Pavet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

17 of 17 papers shown
#Work
1 20246
2
The journey from melanocytes to melanomabreakdown →
202394
3 202220
4 20203
5 20191
6 201741
7 20155
8 201415
9 201426
10 201439
11 201146
12 201113
13 201089
14 2010105
15 2006145
16 2005274
17 2004234

About Valeria Pavet

Valeria Pavet is a scholar working on Aging, Cancer Research and Molecular Biology, having authored 17 papers that have together received 1.2k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (4 papers), Plant-Microbe Interactions and Immunity (3 papers), Cell death mechanisms and regulation (3 papers), Cancer-related molecular mechanisms research (3 papers), Pluripotent Stem Cells Research (2 papers), Plant Stress Responses and Tolerance (2 papers), Genetics, Aging, and Longevity in Model Organisms (2 papers) and melanin and skin pigmentation (2 papers). The work is most often cited by research in Aging (34 citations), Plant Science (610 citations) and Molecular Biology (672 citations). Valeria Pavet has collaborated with scholars based in France, United Kingdom and Argentina. Frequent co-authors include María Elena Álvarez, Hinrich Gronemeyer, Izabella Kovács, László Szabados, Georgina Fabro, Richard Marais, Enrique Olmos, Sanjay Kumar, Christine H. Foyer and Guy Kiddle. Their work appears in journals such as Nature reviews. Cancer, Development and PLANT PHYSIOLOGY.

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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