Tobias E. Sangers

488 total citations
12 papers, 263 citations indexed

About

Tobias E. Sangers is a scholar working on Oncology, Epidemiology and Dermatology. According to data from OpenAlex, Tobias E. Sangers has authored 12 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Oncology, 6 papers in Epidemiology and 4 papers in Dermatology. Recurrent topics in Tobias E. Sangers's work include Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (6 papers) and AI in cancer detection (4 papers). Tobias E. Sangers is often cited by papers focused on Cutaneous Melanoma Detection and Management (9 papers), Nonmelanoma Skin Cancer Studies (6 papers) and AI in cancer detection (4 papers). Tobias E. Sangers collaborates with scholars based in Netherlands, United States and Spain. Tobias E. Sangers's co-authors include Marlies Wakkee, Tamar Nijsten, Josep Malvehy, Remco van Doorn, Marjolein Lugtenberg, Loes M. Hollestein, Errol P. Prens, Lytske Bakker, Merete Hædersdal and Martijn B. A. van Doorn and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Academy of Dermatology and British Journal of Dermatology.

In The Last Decade

Tobias E. Sangers

12 papers receiving 254 citations

Peers

Tobias E. Sangers
Priya Manjaly United States
G.N. Wali United Kingdom
Zhuo Ran Cai United States
Avery Smith United States
Jacob Pfau United States
Nicholas R. Kurtansky United States
Roger S. Ho United States
S. Chan United Kingdom
Priya Manjaly United States
Tobias E. Sangers
Citations per year, relative to Tobias E. Sangers Tobias E. Sangers (= 1×) peers Priya Manjaly

Countries citing papers authored by Tobias E. Sangers

Since Specialization
Citations

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

Fields of papers citing papers by Tobias E. Sangers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tobias E. Sangers. 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 Tobias E. Sangers. The network helps show where Tobias E. Sangers may publish in the future.

Co-authorship network of co-authors of Tobias E. Sangers

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias E. Sangers. A scholar is included among the top collaborators of Tobias E. Sangers 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 Tobias E. Sangers. Tobias E. Sangers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Sangers, Tobias E., et al.. (2025). Mobile health apps for skin cancer triage in the general population: a qualitative study on healthcare providers’ perspectives. BMC Cancer. 25(1). 851–851. 2 indexed citations
2.
Liu, Xianjing, Tobias E. Sangers, Tamar Nijsten, et al.. (2024). Predicting skin cancer risk from facial images with an explainable artificial intelligence (XAI) based approach: a proof-of-concept study. EClinicalMedicine. 71. 102550–102550. 10 indexed citations
3.
Doorn, Remco van, et al.. (2024). Can ChatGPT vision diagnose melanoma? An exploratory diagnostic accuracy study. Journal of the American Academy of Dermatology. 90(5). 1057–1059. 39 indexed citations
4.
Sangers, Tobias E., Harald Kittler, Andreas Blum, et al.. (2023). Position statement of the EADV Artificial Intelligence (AI) Task Force on AI‐assisted smartphone apps and web‐based services for skin disease. Journal of the European Academy of Dermatology and Venereology. 38(1). 22–30. 23 indexed citations
5.
Sangers, Tobias E., Lytske Bakker, Loes M. Hollestein, et al.. (2023). An artificial intelligence based app for skin cancer detection evaluated in a population based setting. npj Digital Medicine. 6(1). 90–90. 43 indexed citations
6.
Sangers, Tobias E., et al.. (2023). Artificial intelligence in mobile health for skin cancer diagnostics at home (AIM HIGH): a pilot feasibility study. EClinicalMedicine. 60. 102019–102019. 13 indexed citations
7.
Wongvibulsin, Shannon, Tobias E. Sangers, Claire Clibborn, et al.. (2023). A Report and Proposals for Future Activity from the Inaugural Artificial Intelligence in Dermatology Symposium Held at the International Societies for Investigative Dermatology 2023 Meeting. SHILAP Revista de lepidopterología. 4(1). 100236–100236. 2 indexed citations
9.
Sangers, Tobias E., et al.. (2022). Towards successful implementation of artificial intelligence in skin cancer care: a qualitative study exploring the views of dermatologists and general practitioners. Archives of Dermatological Research. 315(5). 1187–1195. 22 indexed citations
10.
Sangers, Tobias E., Marlies Wakkee, Tamar Nijsten, et al.. (2022). Limited impact of COVID ‐19‐related diagnostic delay on cutaneous melanoma and squamous cell carcinoma tumour characteristics: a nationwide pathology registry analysis. British Journal of Dermatology. 187(2). 196–202. 17 indexed citations
11.
Sangers, Tobias E., et al.. (2021). Views on mobile health apps for skin cancer screening in the general population: an in‐depth qualitative exploration of perceived barriers and facilitators*. British Journal of Dermatology. 185(5). 961–969. 25 indexed citations
12.
Sangers, Tobias E., et al.. (2020). Efficacy and tolerability of intralesional bleomycin in dermatology: A systematic review. Journal of the American Academy of Dermatology. 83(3). 888–903. 36 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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