Masi Valkonen

507 total citations
9 papers, 185 citations indexed

About

Masi Valkonen is a scholar working on Artificial Intelligence, Molecular Biology and Cancer Research. According to data from OpenAlex, Masi Valkonen has authored 9 papers receiving a total of 185 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Masi Valkonen's work include AI in cancer detection (5 papers), Breast Cancer Treatment Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Masi Valkonen is often cited by papers focused on AI in cancer detection (5 papers), Breast Cancer Treatment Studies (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). Masi Valkonen collaborates with scholars based in Finland, Sweden and Australia. Masi Valkonen's co-authors include Kimmo Kartasalo, Pekka Ruusuvuori, Markku Saloheimo, Merja Penttilä, Arto Ojuva, Erkki Levänen, Lennart Bergström, Farid Akhtar, Balázs Ács and Johan Hartman and has published in prestigious journals such as Cancer Research, Cell Reports and Journal of the European Ceramic Society.

In The Last Decade

Masi Valkonen

9 papers receiving 178 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Masi Valkonen Finland	7	55	49	36	33	27	9	185
Shuang Yang China	7	88 1.6×	18 0.4×	25 0.7×	5 0.2×	13 0.5×	16	219
Fengsheng Wang China	8	152 2.8×	34 0.7×	36 1.0×	56 1.7×	27 1.0×	23	362
Zixiong Wang China	10	42 0.8×	22 0.4×	56 1.6×	33 1.0×	3 0.1×	27	274
Sascha Abramson United States	8	41 0.7×	12 0.2×	74 2.1×	32 1.0×	20 0.7×	22	265
Jiaqi Ren China	9	47 0.9×	20 0.4×	56 1.6×	31 0.9×	4 0.1×	24	343
Muhammad Usman Akbar Pakistan	7	25 0.5×	23 0.5×	108 3.0×	40 1.2×	13 0.5×	18	242
Gan Gao China	6	44 0.8×	28 0.6×	79 2.2×	37 1.1×	18 0.7×	14	153
Haotian Xie China	9	129 2.3×	43 0.9×	35 1.0×	19 0.6×	39 1.4×	24	265
Mohsen Rezaeian Iran	10	38 0.7×	15 0.3×	216 6.0×	20 0.6×	41 1.5×	19	372
Andrea Gonsalves United States	7	77 1.4×	24 0.5×	75 2.1×	16 0.5×	36 1.3×	7	293

Countries citing papers authored by Masi Valkonen

Since Specialization

Citations

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

Fields of papers citing papers by Masi Valkonen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Masi Valkonen

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

All Works

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9 of 9 papers shown

Peurla, Markus, Masi Valkonen, Pia Boström, et al.. (2024). Volumetric analysis of the terminal ductal lobular unit architecture and cell phenotypes in the human breast. Cell Reports. 43(10). 114837–114837. 3 indexed citations

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

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

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

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

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

Vippola, Minnamari, Masi Valkonen, Essi Sarlin, Mari Honkanen, & Heikki Huttunen. (2016). Insight to Nanoparticle Size Analysis—Novel and Convenient Image Analysis Method Versus Conventional Techniques. Nanoscale Research Letters. 11(1). 169–169. 27 indexed citations

Ojuva, Arto, et al.. (2015). Mechanical performance and CO2 uptake of ion-exchanged zeolite A structured by freeze-casting. Journal of the European Ceramic Society. 35(9). 2607–2618. 49 indexed citations

Valkonen, Masi, Merja Penttilä, & Markku Saloheimo. (2004). The ire1 and ptc2 genes involved in the unfolded protein response pathway in the filamentous fungus Trichoderma reesei. Molecular Genetics and Genomics. 272(4). 443–451. 27 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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