M. Casanova

54 papers receiving 2.4k citations

Peers

M. Casanova
Comparison fields: 5 of 102
  • Pharmacology 755
  • Nuclear and High Energy Physics 435
  • Cell Biology 222
  • Cancer Research 192
  • General Dentistry 6
Replace Olivier Dormond with:
Olivier Dormond Switzerland
Xi-Jing Wang China
Masanobu Suzuki Japan
Hoyun Lee Canada
John Inge Johnsen Sweden
Sayaka Shibata Japan
Tetsuo Nishikawa Japan
Fred E. Bertrand United States
Catherine Lacombe France
Richard Harkewicz United States
M. Casanova relative to Olivier Dormond Switzerland Olivier Dormond's profile →
Citations per field
00.5×2×3.2×
Olivier Dormond · 1×
Citations per year

Countries citing papers authored by M. Casanova

Since Specialization
Citations

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

Fields of papers citing papers by M. Casanova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003388
2 2003268
3 2004224
4 1999161
5 1996137
6 2021113
7
A critical role for ras-mediated, epidermal growth factor receptor-dependent angiogenesis in mouse skin carcinogenesis.
2002101
8 202075
9 199971
10 200657
11 199253
12 200051
13 200447
14 201045
15 199342
16 200342
17 199341
18 199740
19 201237
20 200536

About M. Casanova

M. Casanova is a scholar working on Cancer Research, Cell Biology, Nuclear and High Energy Physics, Oncology and Dermatology, having authored 55 papers that have together received 2.5k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (13 papers), NF-κB Signaling Pathways (12 papers), Laser-Plasma Interactions and Diagnostics (11 papers), Nonmelanoma Skin Cancer Studies (7 papers), Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Pharmacology (755 citations), Nuclear and High Energy Physics (435 citations), Cell Biology (222 citations), Cancer Research (192 citations) and General Dentistry (6 citations). M. Casanova has collaborated with scholars based in Spain, France and United States. Frequent co-authors include José L. Jorcano, Cristina Blázquez, Manuel Guzmán, María Jesús Fernández‐Aceñero, Concepción Villanueva, John W. Huffman, Angustias Page, Jesús Martínez‐Palacio, Josefa P. Alameda and Ángel Ramı́rez. Their work appears in journals such as Physics of Plasmas, Oncotarget, Journal of Cell Science, Journal of Investigative Dermatology and Journal of Clinical Investigation.

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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