A. Tejera‐Vaquerizo
Impact in
- Dermatology top 2%
- Cutaneous lymphoproliferative disorders research
- Skin Protection and Aging
- Cancer and Skin Lesions
- Oncology top 5%
- Cutaneous Melanoma Detection and Management
- COVID-19 and healthcare impacts
- CAR-T cell therapy research
Papers in
- Oncology 38
- Cutaneous Melanoma Detection and Management 34
- Epidemiology 20
- Nonmelanoma Skin Cancer Studies 18
- Co-authors
- Enrique Herrera‐Ceballos (14 shared papers)M.Á. Descalzo (10 shared papers)I. García‐Doval (5 shared papers)Ievgenia Pastushenko (2 shared papers)L. Rodríguez‐Pazos (2 shared papers)Rafael Marcos‐Gragera (2 shared papers)Eduardo Nagore (18 shared papers)Almudena Fernández (5 shared papers)
In The Last Decade
A. Tejera‐Vaquerizo
49 papers receiving 664 citations
Peers
Comparison fields: 5 of 55
- Dermatology 165
- Oncology 465
- Epidemiology 257
- Biophysics 27
- Small Animals 30
Countries citing papers authored by A. Tejera‐Vaquerizo
This map shows the geographic impact of A. Tejera‐Vaquerizo'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 A. Tejera‐Vaquerizo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A. Tejera‐Vaquerizo more than expected).
Fields of papers citing papers by A. Tejera‐Vaquerizo
This network shows the impact of papers produced by A. Tejera‐Vaquerizo. 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 A. Tejera‐Vaquerizo. The network helps show where A. Tejera‐Vaquerizo may publish in the future.
Co-authors
The 25 scholars most cited alongside A. Tejera‐Vaquerizo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 125 | |
| 2 | 2016 | 63 | |
| 3 | 2009 | 48 | |
| 4 | 2007 | 34 | |
| 5 | 2018 | 32 | |
| 6 | 2007 | 30 | |
| 7 | 2019 | 26 | |
| 8 | 2020 | 23 | |
| 9 | 2020 | 23 | |
| 10 | 2022 | 22 | |
| 11 | 2012 | 21 | |
| 12 | 2012 | 21 | |
| 13 | 2007 | 19 | |
| 14 | 2017 | 18 | |
| 15 | 2019 | 17 | |
| 16 | 2008 | 15 | |
| 17 | 2015 | 11 | |
| 18 | 2015 | 9 | |
| 19 | 2019 | 8 | |
| 20 | 2020 | 8 |
About A. Tejera‐Vaquerizo
A. Tejera‐Vaquerizo is a scholar working on Oncology, Epidemiology, Dermatology, Molecular Biology and Small Animals, having authored 51 papers that have together received 683 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (34 papers), Nonmelanoma Skin Cancer Studies (18 papers), Cutaneous lymphoproliferative disorders research (8 papers), Melanoma and MAPK Pathways (7 papers), Infectious Diseases and Mycology (6 papers), Skin Protection and Aging (3 papers), Cell Image Analysis Techniques (3 papers) and Cancer and Skin Lesions (3 papers). The work is most often cited by research in Dermatology (165 citations), Oncology (465 citations), Epidemiology (257 citations), Biophysics (27 citations) and Small Animals (30 citations). A. Tejera‐Vaquerizo has collaborated with scholars based in Spain, Italy and Belarus. Frequent co-authors include Enrique Herrera‐Ceballos, M.Á. Descalzo, I. García‐Doval, Ievgenia Pastushenko, L. Rodríguez‐Pazos, Rafael Marcos‐Gragera, Eduardo Nagore, Almudena Fernández, V. Través and Javier Cañueto. Their work appears in journals such as Journal of the European Academy of Dermatology and Venereology, European Journal of Dermatology, Actas Dermo-Sifiliográficas, The Journal of Dermatology and Journal of Clinical Medicine.
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.