Iris Zalaudek

29.5k total citations · 2 hit papers
487 papers, 12.5k citations indexed

About

Iris Zalaudek is a scholar working on Oncology, Dermatology and Epidemiology. According to data from OpenAlex, Iris Zalaudek has authored 487 papers receiving a total of 12.5k indexed citations (citations by other indexed papers that have themselves been cited), including 312 papers in Oncology, 286 papers in Dermatology and 272 papers in Epidemiology. Recurrent topics in Iris Zalaudek's work include Cutaneous Melanoma Detection and Management (291 papers), Nonmelanoma Skin Cancer Studies (219 papers) and Cutaneous lymphoproliferative disorders research (134 papers). Iris Zalaudek is often cited by papers focused on Cutaneous Melanoma Detection and Management (291 papers), Nonmelanoma Skin Cancer Studies (219 papers) and Cutaneous lymphoproliferative disorders research (134 papers). Iris Zalaudek collaborates with scholars based in Italy, Austria and United States. Iris Zalaudek's co-authors include Giuseppe Argenziano, Caterina Longo, Gerardo Ferrara, Aimilios Lallas, H. Peter Soyer, Elvira Moscarella, Rainer Hofmann‐Wellenhof, Josep Malvehy, Jason Giacomel and Susana Puig and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Iris Zalaudek

467 papers receiving 12.1k citations

Hit Papers

Human–computer collaborat... 2015 2026 2018 2022 2020 2015 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Iris Zalaudek 8.0k 6.8k 6.4k 1.3k 1.2k 487 12.5k
Ashfaq A. Marghoob 8.3k 1.0× 4.8k 0.7× 4.2k 0.7× 1.3k 1.0× 1.6k 1.3× 359 11.1k
Giuseppe Argenziano 11.2k 1.4× 8.2k 1.2× 7.5k 1.2× 1.7k 1.3× 1.9k 1.6× 673 16.7k
H. Peter Soyer 10.6k 1.3× 7.5k 1.1× 5.8k 0.9× 2.4k 1.9× 1.7k 1.4× 668 17.8k
Susana Puig 7.1k 0.9× 3.9k 0.6× 3.5k 0.6× 2.5k 2.0× 1.4k 1.2× 495 11.4k
Josep Malvehy 9.2k 1.2× 4.2k 0.6× 4.3k 0.7× 2.6k 2.1× 1.9k 1.6× 405 13.1k
Allan C. Halpern 9.3k 1.2× 4.2k 0.6× 3.4k 0.5× 2.1k 1.7× 1.4k 1.2× 270 13.0k
Caterina Longo 6.2k 0.8× 4.5k 0.7× 3.8k 0.6× 1.3k 1.0× 2.1k 1.8× 411 9.9k
Giovanni Pellacani 7.6k 1.0× 6.3k 0.9× 4.5k 0.7× 1.6k 1.3× 3.5k 3.0× 651 14.0k
Alfred W. Kopf 7.6k 1.0× 4.2k 0.6× 3.7k 0.6× 2.2k 1.7× 844 0.7× 283 11.1k
Timothy M. Johnson 9.6k 1.2× 3.1k 0.5× 3.5k 0.6× 4.1k 3.2× 766 0.6× 227 14.9k

Countries citing papers authored by Iris Zalaudek

Since Specialization
Citations

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

Fields of papers citing papers by Iris Zalaudek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Iris Zalaudek

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Zalaudek. A scholar is included among the top collaborators of Iris Zalaudek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iris Zalaudek. Iris Zalaudek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rezze, Gisele Gargantini, B D'Alessandro, G. Szabó, et al.. (2025). Skin region images extracted from 3D total body photographs for lesion detection. Scientific Data. 12(1). 1442–1442. 1 indexed citations
2.
Caposiena, Raffaele Dante, et al.. (2025). Dermoscopy with subultraviolet light to distinguish the depth of melanocytes. Journal of the American Academy of Dermatology. 93(2). e49–e50. 1 indexed citations
3.
Zelin, Enrico, et al.. (2024). Omalizumab for isolated idiopathic angioedema: A case report and short literature review. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 22(5). 707–709.
4.
Lallas, Konstantinos, Panagiota Spyridonos, Harald Kittler, et al.. (2024). Prediction of melanoma metastasis using dermatoscopy deep features: An international multicenter cohort study.. Journal of Clinical Oncology. 42(16_suppl). 9565–9565.
5.
Zerbato, Verena, Nicola di Meo, Iris Zalaudek, et al.. (2024). Trichophyton indotineae, an Emerging Drug-Resistant Dermatophyte: A Review of the Treatment Options. Journal of Clinical Medicine. 13(12). 3558–3558. 26 indexed citations
6.
Conforti, Claudio, Marina Agozzino, Caterina Dianzani, et al.. (2024). Unraveling the Complex Nexus of Human Papillomavirus (HPV) in Extragenital Keratinocyte Skin Tumors: A Comprehensive Analysis of Bowen’s Disease and In Situ Squamous-Cell Carcinoma. Journal of Clinical Medicine. 13(4). 1091–1091. 2 indexed citations
7.
Piccolo, Domenico, et al.. (2023). New 675 nm Laser Device: The Innovative and Effective Non-Ablative Resurfacing Technique. Medicina. 59(7). 1245–1245. 8 indexed citations
8.
Avallone, Gianluca, Claudio Conforti, Gabriele Roccuzzo, et al.. (2023). Topical ruxolitinib: A new treatment for vitiligo. Journal of the European Academy of Dermatology and Venereology. 37(11). 2222–2230. 26 indexed citations
9.
Dika, Emi, Sabina Vaccari, Pietro Quaglino, et al.. (2023). Advanced Cutaneous Squamous Cell Carcinoma: Italian Multicentric Retrospective Analysis of Patient Profiles and Therapeutic Approaches. Dermatology. 239(3). 422–428. 1 indexed citations
10.
Guida, Stefania, Shaniko Kaleci, Johanna Chester, et al.. (2022). Non-Melanoma Skin Cancer Clearance after Medical Treatment Detected with Noninvasive Skin Imaging: A Systematic Review and Meta-Analysis. Cancers. 14(12). 2836–2836. 8 indexed citations
11.
Zelin, Enrico, et al.. (2022). Identifying Candidates for Immunotherapy among Patients with Non-Melanoma Skin Cancer: A Review of the Potential Predictors of Response. Journal of Clinical Medicine. 11(12). 3364–3364. 23 indexed citations
12.
Stanganelli, Ignazio, Francesco Spagnolo, Giuseppe Argenziano, et al.. (2022). The Multidisciplinary Management of Cutaneous Squamous Cell Carcinoma: A Comprehensive Review and Clinical Recommendations by a Panel of Experts. Cancers. 14(2). 377–377. 17 indexed citations
13.
Zelin, Enrico, Nicola di Meo, Carlo Alberto Maronese, & Iris Zalaudek. (2021). Pyemotes ventricosus dermatitis: ‘comet sign’. Clinical and Experimental Dermatology. 46(5). 980–983. 4 indexed citations
14.
Tschandl, Philipp, Claus Rinner, Zoé Apalla, et al.. (2020). Human–computer collaboration for skin cancer recognition. Nature Medicine. 26(8). 1229–1234. 514 indexed citations breakdown →
15.
Borsari, Stefania, Riccardo Pampena, Michela Lai, et al.. (2020). The presence of eccentric hyperpigmentation should raise the suspicion of melanoma. Journal of the European Academy of Dermatology and Venereology. 34(12). 2802–2808. 5 indexed citations
16.
Pampena, Riccardo, Valeria Manfreda, Αthanassios Kyrgidis, et al.. (2020). Digital dermoscopic changes during follow‐up of de‐novo and nevus‐associated melanoma: a cohort study. International Journal of Dermatology. 59(7). 813–821. 7 indexed citations
17.
Kurvers, Ralf H. J. M., Stefan M. Herzog, Ralph Hertwig, et al.. (2019). How to detect high-performing individuals and groups: Decision similarity predicts accuracy. Science Advances. 5(11). eaaw9011–eaaw9011. 23 indexed citations
18.
Zalaudek, Iris, et al.. (2010). 非色素皮膚腫瘍の診断法:デルモスコピーで観察された血管構造の展望:I.メラニン細胞性皮膚腫瘍. Journal of the American Academy of Dermatology. 63(3). 361–376. 53 indexed citations
19.
Braun, Ralph P., et al.. (2005). Annonce / Ankündigung. 17(6). 66–66.
20.
Zalaudek, Iris, Andreas Blum, Giuseppe Argenziano, et al.. (2004). Age-related dermoscopic prevalence of Clark nevi. Journal of Investigative Dermatology. 123(2). 6–6.

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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