Aram Boada

1.2k citations
70 papers · 537 · h-index 14

Impact in

    • Dermatological and COVID-19 studies
  • Oncology top 10%
    • Cutaneous Melanoma Detection and Management
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cutaneous Melanoma Detection and Management 27
    • Nonmelanoma Skin Cancer Studies 16
    • Nail Diseases and Treatments 7
    • Fungal Infections and Studies 4

Aram Boada

61 papers receiving 524 citations

Peers

Aram Boada
Comparison fields: 5 of 82
  • Dermatology 132
  • Oncology 214
  • Immunology 97
  • Urology 21
  • Epidemiology 112
Replace Oliver J. Wisco with:
Oliver J. Wisco United States
Razieh Soltani‐Arabshahi Iran
Louise Fearfield United Kingdom
Maike Wittersheim Germany
Ana Batalla Spain
Pietro Sollena Italy
Calvin O. McCall United States
Anna Colagrande Italy
Michel Heenen Belgium
Paul Milne United Kingdom
Aram Boada relative to Oliver J. Wisco United States Oliver J. Wisco's profile →
Citations per field
00.5×1.5×2.1×
Oliver J. Wisco · 1×
Citations per year

Countries citing papers authored by Aram Boada

Since Specialization
Citations

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

Fields of papers citing papers by Aram Boada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201755
2 201051
3 201932
4 201128
5 200927
6 201825
7 201925
8 201724
9 201919
10 201917
11 201916
12 201614
13 202113
14 202113
15 201211
16 20229
17 20229
18 20118
19 20247
20 20187

About Aram Boada

Aram Boada is a scholar working on Oncology, Epidemiology, Molecular Biology, Dermatology and Pathology and Forensic Medicine, having authored 70 papers that have together received 537 indexed citations. Recurring topics across this work include Cutaneous Melanoma Detection and Management (27 papers), Nonmelanoma Skin Cancer Studies (16 papers), Melanoma and MAPK Pathways (13 papers), Autoimmune Bullous Skin Diseases (7 papers), Nail Diseases and Treatments (7 papers), Cutaneous lymphoproliferative disorders research (6 papers), Fungal Infections and Studies (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Dermatology (132 citations), Oncology (214 citations), Immunology (97 citations), Urology (21 citations) and Epidemiology (112 citations). Aram Boada has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Carlos Ferrándiz, María Teresa Fernández‐Figueras, Isabel Bielsa, J.M. Carrascosa, J.M. Carrascosa, A. Tejera‐Vaquerizo, Cristina Carrera, Susana Puig, Josep Malvehy and N. Iglesias-Pena. Their work appears in journals such as Cancers, Journal of the European Academy of Dermatology and Venereology, Actas Dermo-Sifiliográficas, American Journal of Dermatopathology and Melanoma Research.

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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