Ferdinand Toberer

4.5k total citations
82 papers, 670 citations indexed

About

Ferdinand Toberer is a scholar working on Oncology, Dermatology and Epidemiology. According to data from OpenAlex, Ferdinand Toberer has authored 82 papers receiving a total of 670 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Oncology, 30 papers in Dermatology and 28 papers in Epidemiology. Recurrent topics in Ferdinand Toberer's work include Cutaneous Melanoma Detection and Management (23 papers), Nonmelanoma Skin Cancer Studies (15 papers) and AI in cancer detection (13 papers). Ferdinand Toberer is often cited by papers focused on Cutaneous Melanoma Detection and Management (23 papers), Nonmelanoma Skin Cancer Studies (15 papers) and AI in cancer detection (13 papers). Ferdinand Toberer collaborates with scholars based in Germany, Austria and United States. Ferdinand Toberer's co-authors include Holger A. Haenssle, Alexander Enk, Julia K. Winkler, Christine Fink, Andreas Blum, Wilhelm Stolz, Teresa Deinlein, Alexander Enk, Rainer Hofmann‐Wellenhof and L. Thomas and has published in prestigious journals such as Journal of the American Academy of Dermatology, European Journal of Cancer and British Journal of Dermatology.

In The Last Decade

Ferdinand Toberer

63 papers receiving 656 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ferdinand Toberer Germany 12 403 297 156 125 68 82 670
Teresa Deinlein Austria 13 406 1.0× 221 0.7× 224 1.4× 177 1.4× 57 0.8× 39 661
David Gutman United States 8 476 1.2× 354 1.2× 159 1.0× 78 0.6× 61 0.9× 21 673
Julia K. Winkler Germany 16 586 1.5× 296 1.0× 136 0.9× 78 0.6× 74 1.1× 53 1.0k
Woohyung Lim South Korea 7 590 1.5× 522 1.8× 243 1.6× 124 1.0× 50 0.7× 14 933
Stefan Fröhling Germany 8 500 1.2× 467 1.6× 168 1.1× 73 0.6× 99 1.5× 10 793
Jennifer DeFazio United States 8 305 0.8× 178 0.6× 128 0.8× 68 0.5× 48 0.7× 15 412
Konstantinos Liopyris United States 17 737 1.8× 312 1.1× 423 2.7× 334 2.7× 115 1.7× 49 996
Brian Helba United States 8 477 1.2× 371 1.2× 168 1.1× 75 0.6× 70 1.0× 11 681
Philipp Jansen Germany 15 442 1.1× 162 0.5× 131 0.8× 78 0.6× 43 0.6× 37 807
Marc Combalia Spain 10 217 0.5× 172 0.6× 95 0.6× 66 0.5× 40 0.6× 23 441

Countries citing papers authored by Ferdinand Toberer

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand Toberer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ferdinand Toberer

This figure shows the co-authorship network connecting the top 25 collaborators of Ferdinand Toberer. A scholar is included among the top collaborators of Ferdinand Toberer 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 Ferdinand Toberer. Ferdinand Toberer 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.
Winkler, Julia K., Ferdinand Toberer, Alexander Enk, et al.. (2024). Performance of an automated total body mapping algorithm to detect melanocytic lesions of clinical relevance. European Journal of Cancer. 202. 114026–114026. 4 indexed citations
2.
Schneiderbauer, Roland, et al.. (2023). Pseudoxanthoma elasticum. Die Dermatologie. 74(3). 190–190. 1 indexed citations
3.
Trennheuser, Lukas, et al.. (2023). Plexiformer fibrohistiozytärer Tumor. Die Dermatologie. 74(6). 453–456.
4.
Schäfer, Sarah K., et al.. (2023). Multiple, eruptive epitheloide Hämangiome der Kopfhaut. Die Dermatologie. 74(10). 793–798.
5.
Sies, Katharina, Julia K. Winkler, Christine Fink, et al.. (2022). Does sex matter? Analysis of sex-related differences in the diagnostic performance of a market-approved convolutional neural network for skin cancer detection. European Journal of Cancer. 164. 88–94. 8 indexed citations
6.
Schneiderbauer, Roland, et al.. (2022). Pseudoxanthoma elasticum: Die Lotsenfunktion des Dermatologen. Die Dermatologie. 73(10). 804–808.
7.
Toberer, Ferdinand, Holger A. Haenssle, Monika Heinzel‐Gutenbrunner, et al.. (2022). Metabolic Signature of Atypical Fibroxanthoma and Pleomorphic Dermal Sarcoma: Expression of Hypoxia-inducible Factor-1α and Several of Its Downstream Targets.. PubMed. 30(1). 25–31. 1 indexed citations
8.
Sies, Katharina, Julia K. Winkler, Christine Fink, et al.. (2021). Auswirkungen des „dunklen Rand‐Artefakts“ in dermatoskopischen Bildern auf die diagnostische Leistungsfähigkeit eines deep learning neuronalen Netzwerkes mit Marktzulassung. JDDG Journal der Deutschen Dermatologischen Gesellschaft. 19(6). 842–851.
9.
Winkler, Julia K., Philipp Tschandl, Ferdinand Toberer, et al.. (2021). Monitoring patients at risk for melanoma: May convolutional neural networks replace the strategy of sequential digital dermoscopy?. European Journal of Cancer. 160. 180–188. 7 indexed citations
10.
Hartschuh, Wolfgang, et al.. (2021). Multiple Keratoacanthomas after a Recent Tattoo: A Case Report. Case Reports in Dermatology. 13(1). 23–27. 2 indexed citations
11.
Toberer, Ferdinand, Holger A. Haenssle, Monika Heinzel‐Gutenbrunner, et al.. (2020). Vascular Endothelial Growth Factor Receptor-3 Expression Predicts Sentinel Node Status in Primary Cutaneous Melanoma. Acta Dermato Venereologica. 100(15). adv00235–adv00235. 5 indexed citations
12.
Bertlich, Ines, Wolfgang Hartschuh, Alexander Enk, & Ferdinand Toberer. (2020). Sudden hair change after first birthday. International Journal of Trichology. 12(4). 191–191. 1 indexed citations
13.
Winkler, Julia K., Holger A. Haenssle, Alexander Enk, Ferdinand Toberer, & Martin Hartmann. (2020). Erfolgreiche Behandlung einer chronischen Prurigo mit Dupilumab. Der Hautarzt. 72(6). 528–532. 5 indexed citations
14.
Enk, Alexander, et al.. (2020). Lineare Sklerodermie „en coup de sabre“ mit neurologischer und okulärer Beteiligung. Der Hautarzt. 71(10). 802–804. 2 indexed citations
15.
Fink, Christine, et al.. (2019). Giant Congenital Melanocytic Nevus Accompanied by an Intracranial Arachnoid Cyst. Dermatology Practical & Conceptual. 9(3). 225–227. 1 indexed citations
16.
Toberer, Ferdinand, et al.. (2018). Spontaneous Regression of Primary Cutaneous Diffuse Large B-cell Lymphoma, Leg Type. Acta Dermato Venereologica. 98(6). 608–609. 9 indexed citations
17.
Toberer, Ferdinand, Arno Rütten, Luís Requena, et al.. (2017). Eosinophil‐rich trichoblastic carcinoma with aggressive clinical course in a young man. Journal of Cutaneous Pathology. 44(11). 986–990. 6 indexed citations
18.
Schneiderbauer, Roland, et al.. (2017). Axilläre und perimamilläre Fox-Fordyce-Erkrankung (apokrine Miliaria) bei einer 19-jährigen Patientin. Der Hautarzt. 69(4). 313–315. 1 indexed citations
19.
Winkler, Julia K., Wolfgang Hartschuh, Alexander Enk, & Ferdinand Toberer. (2016). Multiple ekkrine Hidrozystome an Stirn und Nase eines 60-jährigen Mannes. Der Hautarzt. 68(5). 393–395.
20.
Toberer, Ferdinand, et al.. (2015). Erythematous-to-Brownish Plaques on the Upper Back: A Quiz. Acta Dermato Venereologica. 95(3). 378–382. 3 indexed citations

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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