Fernando Larcher

110 papers receiving 5.0k citations

Peers

Fernando Larcher
Comparison fields: 5 of 127
  • Rehabilitation 622
  • Cell Biology 1.1k
  • Dermatology 440
  • Urology 286
  • Biomaterials 638
Replace Katsuto Tamai with:
Katsuto Tamai Japan
Zurab Siprashvili United States
Jonathan N Mansbridge United States
Raija Tammi Finland
Ulf Anderegg Germany
Esther Hoste Belgium
Lyuben N. Marekov United States
Edward V. Maytin United States
Robert G. Vries Netherlands
Phil J. Stephens United Kingdom
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Citations per year

Countries citing papers authored by Fernando Larcher

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Larcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007312
2 1995234
3 2009207
4 2016201
5 1998200
6 2004181
7 2002163
8 1998160
9 1996150
10 2015133
11 2009131
12 2004109
13
Up-regulation of vascular endothelial growth factor/vascular permeability factor in mouse skin carcinogenesis correlates with malignant progression state and activated H-ras expression levels.
1996109
14
A critical role for ras-mediated, epidermal growth factor receptor-dependent angiogenesis in mouse skin carcinogenesis.
2002101
15 200691
16 200290
17 201789
18 201988
19 200486
20 198983

About Fernando Larcher

Fernando Larcher is a scholar working on Cell Biology, Biomaterials, Genetics, Molecular Biology and Rehabilitation, having authored 113 papers that have together received 5.2k indexed citations. Recurring topics across this work include Skin and Cellular Biology Research (38 papers), RNA Interference and Gene Delivery (19 papers), Silk-based biomaterials and applications (18 papers), Virus-based gene therapy research (18 papers), Wound Healing and Treatments (9 papers), Transgenic Plants and Applications (8 papers), Autoimmune Bullous Skin Diseases (8 papers) and Viral Infectious Diseases and Gene Expression in Insects (6 papers). The work is most often cited by research in Rehabilitation (622 citations), Cell Biology (1.1k citations), Dermatology (440 citations), Urology (286 citations) and Biomaterials (638 citations). Fernando Larcher has collaborated with scholars based in Spain, United States and Germany. Frequent co-authors include José L. Jorcano, Marcela Del Río, Claudio Jorge Conti, Rodolfo Murillas, Marta García, Álvaro Meana, Maria Jose Escamez, Blanca Duarte, Marta Puerta Carretero and Sara Gómez Llames. Their work appears in journals such as Journal of Investigative Dermatology, Molecular Therapy, Molecular Carcinogenesis, Gene Therapy and Human Gene Therapy.

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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