Kimmo Kartasalo

5.1k total citations
33 papers, 633 citations indexed

About

Kimmo Kartasalo is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kimmo Kartasalo has authored 33 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kimmo Kartasalo's work include AI in cancer detection (21 papers), Prostate Cancer Diagnosis and Treatment (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Kimmo Kartasalo is often cited by papers focused on AI in cancer detection (21 papers), Prostate Cancer Diagnosis and Treatment (10 papers) and Radiomics and Machine Learning in Medical Imaging (9 papers). Kimmo Kartasalo collaborates with scholars based in Finland, Sweden and Australia. Kimmo Kartasalo's co-authors include Pekka Ruusuvuori, Leena Latonen, Matti Nykter, Martin Eklund, Carolina Wählby, Ola Spjuth, Kaisa Liimatainen, Tapio Visakorpi, Lars Egevad and Leslie Solorzano and has published in prestigious journals such as Nature Communications, Bioinformatics and Cancer Research.

In The Last Decade

Kimmo Kartasalo

30 papers receiving 628 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kimmo Kartasalo Finland 14 230 184 147 126 98 33 633
Maria Colomba Comes Italy 16 226 1.0× 80 0.4× 274 1.9× 89 0.7× 194 2.0× 60 691
Daniel Heim Germany 10 253 1.1× 125 0.7× 142 1.0× 115 0.9× 26 0.3× 17 578
Carlos A. Castro United States 17 143 0.6× 409 2.2× 63 0.4× 54 0.4× 60 0.6× 37 862
Chao‐Yuan Yeh Taiwan 17 232 1.0× 180 1.0× 217 1.5× 49 0.4× 170 1.7× 34 936
Janusz Szymaś Poland 13 204 0.9× 210 1.1× 116 0.8× 58 0.5× 64 0.7× 48 694
Robert Kornegoor Netherlands 12 285 1.2× 111 0.6× 162 1.1× 79 0.6× 36 0.4× 18 678
Adib Keikhosravi United States 16 100 0.4× 185 1.0× 118 0.8× 149 1.2× 245 2.5× 34 941
Fujun Liu United States 10 439 1.9× 176 1.0× 246 1.7× 149 1.2× 78 0.8× 21 870
Lichao Wang Germany 6 395 1.7× 117 0.6× 236 1.6× 179 1.4× 70 0.7× 9 696
Petter Ranefall Sweden 15 82 0.4× 275 1.5× 74 0.5× 154 1.2× 45 0.5× 32 665

Countries citing papers authored by Kimmo Kartasalo

Since Specialization
Citations

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

Fields of papers citing papers by Kimmo Kartasalo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kimmo Kartasalo

This figure shows the co-authorship network connecting the top 25 collaborators of Kimmo Kartasalo. A scholar is included among the top collaborators of Kimmo Kartasalo 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 Kimmo Kartasalo. Kimmo Kartasalo 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.
Kartasalo, Kimmo, et al.. (2025). Hierarchical Vision Transformers for prostate biopsy grading: Towards bridging the generalization gap. Medical Image Analysis. 105. 103663–103663.
2.
Gambacorta, Marcello, Einar Gudlaugsson, Svein Reidar Kjosavik, et al.. (2025). Artificial intelligence-assisted prostate cancer diagnosis for reduced use of immunohistochemistry. Communications Medicine. 5(1). 425–425.
3.
Egevad, Lars, et al.. (2025). The Role of Artificial Intelligence in the Evaluation of Prostate Pathology. Pathology International. 75(5). 213–220.
4.
Wang, Yinxi, Henrik Olsson, Bodil Ginnerup Pedersen, et al.. (2025). Physical Color Calibration of Digital Pathology Scanners for Robust Artificial Intelligence–Assisted Cancer Diagnosis. Modern Pathology. 38(5). 100715–100715. 1 indexed citations
5.
Du, Xiaoyang, Shuang Hao, Henrik Olsson, et al.. (2024). Effectiveness and Cost-effectiveness of Artificial Intelligence–assisted Pathology for Prostate Cancer Diagnosis in Sweden: A Microsimulation Study. European Urology Oncology. 8(1). 80–86. 8 indexed citations
6.
Egevad, Lars, Brett Delahunt, Kenneth A. Iczkowski, et al.. (2023). Interobserver reproducibility of cribriform cancer in prostate needle biopsies and validation of International Society of Urological Pathology criteria. Histopathology. 82(6). 837–845. 4 indexed citations
7.
Valkonen, Masi, Leslie Solorzano, Kimmo Kartasalo, et al.. (2023). A Multi-Stain Breast Cancer Histological Whole-Slide-Image Data Set from Routine Diagnostics. Scientific Data. 10(1). 562–562. 9 indexed citations
8.
Kartasalo, Kimmo, Peter Ström, Pekka Ruusuvuori, et al.. (2022). Detection of perineural invasion in prostate needle biopsies with deep neural networks. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 481(1). 73–82. 16 indexed citations
9.
Liimatainen, Kaisa, Leena Latonen, Masi Valkonen, Kimmo Kartasalo, & Pekka Ruusuvuori. (2022). Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration. 15 indexed citations
10.
Ruusuvuori, Pekka, Masi Valkonen, Kimmo Kartasalo, et al.. (2022). Spatial analysis of histology in 3D: quantification and visualization of organ and tumor level tissue environment. Heliyon. 8(1). e08762–e08762. 10 indexed citations
11.
Egevad, Lars, Brett Delahunt, Hemamali Samaratunga, et al.. (2021). Interobserver reproducibility of perineural invasion of prostatic adenocarcinoma in needle biopsies. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 478(6). 1109–1116. 12 indexed citations
12.
Wang, Yinxi, Kimmo Kartasalo, Balázs Ács, et al.. (2021). Predicting Molecular Phenotypes from Histopathology Images: A Transcriptome-Wide Expression–Morphology Analysis in Breast Cancer. Cancer Research. 81(19). 5115–5126. 41 indexed citations
13.
Avenel, Christophe, Kimmo Kartasalo, Maja Marklund, et al.. (2021). Morphological Features Extracted by AI Associated with Spatial Transcriptomics in Prostate Cancer. Cancers. 13(19). 4837–4837. 20 indexed citations
14.
Kartasalo, Kimmo, Wouter Bulten, Brett Delahunt, et al.. (2021). Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies—Current Status and Next Steps. European Urology Focus. 7(4). 687–691. 31 indexed citations
15.
Egevad, Lars, Peter Ström, Kimmo Kartasalo, et al.. (2020). The utility of artificial intelligence in the assessment of prostate pathology. Histopathology. 76(6). 790–792. 10 indexed citations
16.
Gupta, Anindya, Philip J. Harrison, Håkan Wieslander, et al.. (2018). Deep Learning in Image Cytometry: A Review. Cytometry Part A. 95(4). 366–380. 128 indexed citations
17.
Vanhatupa, Sari, et al.. (2017). A durable and biocompatible ascorbic acid-based covalent coating method of polydimethylsiloxane for dynamic cell culture. Journal of The Royal Society Interface. 14(132). 20170318–20170318. 15 indexed citations
18.
Valkonen, Mira, Pekka Ruusuvuori, Kimmo Kartasalo, et al.. (2017). Analysis of spatial heterogeneity in normal epithelium and preneoplastic alterations in mouse prostate tumor models. Scientific Reports. 7(1). 44831–44831. 10 indexed citations
19.
Kartasalo, Kimmo, Leena Latonen, Tapio Visakorpi, Matti Nykter, & Pekka Ruusuvuori. (2016). Benchmarking of algorithms for 3D tissue reconstruction. 2360–2364. 1 indexed citations
20.
Ylipää, Antti, Kati Kivinummi, Matti Annala, et al.. (2015). Transcriptome Sequencing Reveals PCAT5 as a Novel ERG-Regulated Long Noncoding RNA in Prostate Cancer. Cancer Research. 75(19). 4026–4031. 58 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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