Nikolas Stathonikos

5.0k total citations
32 papers, 687 citations indexed

About

Nikolas Stathonikos is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Nikolas Stathonikos has authored 32 papers receiving a total of 687 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 14 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Oncology. Recurrent topics in Nikolas Stathonikos's work include AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Digital Imaging for Blood Diseases (4 papers). Nikolas Stathonikos is often cited by papers focused on AI in cancer detection (25 papers), Radiomics and Machine Learning in Medical Imaging (14 papers) and Digital Imaging for Blood Diseases (4 papers). Nikolas Stathonikos collaborates with scholars based in Netherlands, Germany and Austria. Nikolas Stathonikos's co-authors include P. J. van Diest, Mitko Veta, André Huisman, Tri Q. Nguyen, Alexi Baidoshvili, Jeroen van der Laak, Paul van Diest, Peter Bult, Péter Bándi and Rob van de Loo and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Scientific Reports.

In The Last Decade

Nikolas Stathonikos

28 papers receiving 669 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nikolas Stathonikos Netherlands 14 508 328 163 124 108 32 687
Guillaume Jaume United States 11 577 1.1× 401 1.2× 210 1.3× 114 0.9× 107 1.0× 14 885
Péter Bándi Netherlands 8 617 1.2× 421 1.3× 292 1.8× 116 0.9× 125 1.2× 15 779
Żaneta Świderska-Chadaj Poland 13 360 0.7× 273 0.8× 141 0.9× 103 0.8× 83 0.8× 30 582
Andrew Zhang United States 4 362 0.7× 265 0.8× 120 0.7× 84 0.7× 68 0.6× 6 619
Chengkuan Chen United States 4 488 1.0× 372 1.1× 177 1.1× 81 0.7× 68 0.6× 5 807
Mane Williams United States 5 431 0.8× 338 1.0× 110 0.7× 107 0.9× 80 0.7× 6 707
Oscar Geessink Netherlands 6 428 0.8× 320 1.0× 195 1.2× 132 1.1× 102 0.9× 7 567
Maschenka Balkenhol Netherlands 13 685 1.3× 530 1.6× 298 1.8× 151 1.2× 139 1.3× 21 906
Iringo Kovacs Netherlands 5 538 1.1× 386 1.2× 181 1.1× 105 0.8× 85 0.8× 7 762
Anurag Vaidya United States 8 480 0.9× 407 1.2× 117 0.7× 104 0.8× 76 0.7× 10 865

Countries citing papers authored by Nikolas Stathonikos

Since Specialization
Citations

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

Fields of papers citing papers by Nikolas Stathonikos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolas Stathonikos

This figure shows the co-authorship network connecting the top 25 collaborators of Nikolas Stathonikos. A scholar is included among the top collaborators of Nikolas Stathonikos 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 Nikolas Stathonikos. Nikolas Stathonikos 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.
2.
Samuels, Martin, Natalie D. ter Hoeve, Nikolas Stathonikos, et al.. (2025). Head-to-Head Comparison of 2 Artificial Intelligence Tools for Detecting Lymph Node Metastases in Whole-Slide Pathology Images Within and Beyond Their Intended Use. Modern Pathology. 38(12). 100905–100905.
3.
Gerritsen, W.J., Tri Q. Nguyen, Carmen van Dooijeweert, et al.. (2025). Monitoring Immunohistochemical Staining Variations Using Artificial Intelligence on Standardized Controls. Laboratory Investigation. 105(5). 104105–104105. 1 indexed citations
4.
Stathonikos, Nikolas, et al.. (2025). Artificial intelligence-based triaging of cutaneous melanocytic lesions. TU/e Research Portal. 2(1). 1 indexed citations
5.
Dooijeweert, Carmen van, Natalie D. ter Hoeve, Celien P.H. Vreuls, et al.. (2024). Clinical implementation of artificial-intelligence-assisted detection of breast cancer metastases in sentinel lymph nodes: the CONFIDENT-B single-center, non-randomized clinical trial. Nature Cancer. 5(8). 1195–1205. 13 indexed citations
6.
Stathonikos, Nikolas, Bart A. van de Wiel, Antien L. Mooyaart, et al.. (2024). The difficulty with measuring the largest melanoma tumour diameter in sentinel lymph nodes. Journal of Clinical Pathology. 77(6). 372–377. 1 indexed citations
7.
Hoogendam, Jacob P., Nikolas Stathonikos, Cornelis G. Gerestein, et al.. (2024). Artificial Intelligence-Based Sentinel Lymph Node Metastasis Detection in Cervical Cancer. Cancers. 16(21). 3619–3619. 3 indexed citations
8.
Aubreville, Marc, Frauke Wilm, Nikolas Stathonikos, et al.. (2023). A comprehensive multi-domain dataset for mitotic figure detection. Scientific Data. 10(1). 484–484. 18 indexed citations
9.
Wang, Yuwei, Annegien Broeks, Daniele Giardiello, et al.. (2023). External validation and clinical utility assessment of PREDICT breast cancer prognostic model in young, systemic treatment-naïve women with node-negative breast cancer. European Journal of Cancer. 195. 113401–113401.
10.
Stathonikos, Nikolas, Natalie D. ter Hoeve, Maxime W. Lafarge, et al.. (2023). Deep learning supported mitoses counting on whole slide images: A pilot study for validating breast cancer grading in the clinical workflow. Journal of Pathology Informatics. 14. 100316–100316. 15 indexed citations
11.
Stathonikos, Nikolas, et al.. (2023). The CONFIDENT-P trial: Clinical implementation of artificial intelligence assistance in prostate cancer pathology.. Journal of Clinical Oncology. 41(6_suppl). TPS405–TPS405.
12.
Stathonikos, Nikolas, et al.. (2022). Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images. Scientific Reports. 12(1). 15102–15102. 55 indexed citations
13.
Aubreville, Marc, Christof Bertram, Mitko Veta, et al.. (2021). MItosis DOmain Generalization Challenge. Zenodo (CERN European Organization for Nuclear Research). 8 indexed citations
14.
Bertram, Christof, Nikolas Stathonikos, Taryn Donovan, et al.. (2021). Validation of digital microscopy: Review of validation methods and sources of bias. Veterinary Pathology. 59(1). 26–38. 10 indexed citations
15.
Opdam, Mark, Katarzyna Jóźwiak, Michael Hauptmann, et al.. (2020). 159O Prognostic value of tumour infiltrating lymphocytes in young triple negative breast cancer patients who did not receive adjuvant systemic treatment; by the PARADIGM study group. Annals of Oncology. 31. S303–S303. 16 indexed citations
16.
Stathonikos, Nikolas, Tri Q. Nguyen, & P. J. van Diest. (2020). Rocky road to digital diagnostics: implementation issues and exhilarating experiences. Journal of Clinical Pathology. 74(7). 415–420. 17 indexed citations
17.
Baidoshvili, Alexi, Nikolas Stathonikos, Gerard Freling, et al.. (2018). Validation of a whole‐slide image‐based teleconsultation network. Histopathology. 73(5). 777–783. 16 indexed citations
18.
Schoonenberg, Vivien A. C., Iwan A. Burgener, Louis C. Penning, et al.. (2017). Aberrant hepatic lipid storage and metabolism in canine portosystemic shunts. PLoS ONE. 12(10). e0186491–e0186491. 7 indexed citations
19.
Gho, Johannes M.I.H., René van Es, Nikolas Stathonikos, et al.. (2014). High Resolution Systematic Digital Histological Quantification of Cardiac Fibrosis and Adipose Tissue in Phospholamban p.Arg14del Mutation Associated Cardiomyopathy. PLoS ONE. 9(4). e94820–e94820. 28 indexed citations
20.
Stathonikos, Nikolas, Mitko Veta, André Huisman, & P. J. van Diest. (2013). Going fully digital: Perspective of a Dutch academic pathology lab. Journal of Pathology Informatics. 4(1). 15–15. 125 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Guillaume Jaume Breakdown of academic impact, for papers by Péter Bándi Breakdown of academic impact, for papers by Żaneta Świderska-Chadaj Breakdown of academic impact, for papers by Andrew Zhang Breakdown of academic impact, for papers by Chengkuan Chen Breakdown of academic impact, for papers by Mane Williams Breakdown of academic impact, for papers by Oscar Geessink Breakdown of academic impact, for papers by Maschenka Balkenhol Breakdown of academic impact, for papers by Iringo Kovacs Breakdown of academic impact, for papers by Anurag Vaidya
Rankless by CCL
2026