Johanna Mattson

5.6k total citations
49 papers, 452 citations indexed

About

Johanna Mattson is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Johanna Mattson has authored 49 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 13 papers in Cancer Research and 10 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Johanna Mattson's work include Cancer survivorship and care (18 papers), Breast Cancer Treatment Studies (13 papers) and Breast Lesions and Carcinomas (8 papers). Johanna Mattson is often cited by papers focused on Cancer survivorship and care (18 papers), Breast Cancer Treatment Studies (13 papers) and Breast Lesions and Carcinomas (8 papers). Johanna Mattson collaborates with scholars based in Finland, Greece and Italy. Johanna Mattson's co-authors include Päivi Heikkilä, Marjut Leidenius, Carl Blomqvist, Paula Poikonen‐Saksela, Tuomo J Meretoja, Heli Nevanlinna, Berta Sousa, Ruth Pat‐Horenczyk, Ketti Mazzocco and Arja Jukkola‐Vuorinen and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Internal Medicine and Scientific Reports.

In The Last Decade

Johanna Mattson

48 papers receiving 445 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johanna Mattson Finland 13 222 136 95 78 67 49 452
Christina A. Dilaveri United States 8 179 0.8× 205 1.5× 116 1.2× 55 0.7× 71 1.1× 17 409
Afonso Celso Pinto Nazário Brazil 14 180 0.8× 114 0.8× 77 0.8× 43 0.6× 94 1.4× 59 434
Preeti Subhedar United States 12 247 1.1× 240 1.8× 115 1.2× 74 0.9× 108 1.6× 29 448
Fuh Yong Wong Singapore 12 179 0.8× 161 1.2× 84 0.9× 90 1.2× 49 0.7× 49 343
Mary D. Chamberlin United States 10 260 1.2× 117 0.9× 70 0.7× 108 1.4× 46 0.7× 39 469
Jia-Yuan Li China 7 284 1.3× 177 1.3× 69 0.7× 56 0.7× 36 0.5× 11 421
Jennifer R. Garreau United States 13 211 1.0× 180 1.3× 109 1.1× 97 1.2× 87 1.3× 23 488
Dean A. Shumway United States 17 202 0.9× 244 1.8× 79 0.8× 95 1.2× 171 2.6× 54 615
Jean‐Pierre Bleuse France 11 309 1.4× 125 0.9× 109 1.1× 63 0.8× 38 0.6× 21 468

Countries citing papers authored by Johanna Mattson

Since Specialization
Citations

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

Fields of papers citing papers by Johanna Mattson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johanna Mattson

This figure shows the co-authorship network connecting the top 25 collaborators of Johanna Mattson. A scholar is included among the top collaborators of Johanna Mattson 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 Johanna Mattson. Johanna Mattson 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.
Lubbers, Tim, Johanna Mattson, Didier Mayeur, et al.. (2025). Financial toxicity and socioeconomic impact of cancer in Europe. ESMO Open. 10(6). 105293–105293. 1 indexed citations
2.
Vehmanen, Leena, Heli Lyytinen, Hanna Savolainen‐Peltonen, et al.. (2024). Effects of vaginal estrogen on serum estradiol during aromatase inhibitor therapy in breast cancer patients with vulvovaginal atrophy: a prospective trial. Breast Cancer Research and Treatment. 210(2). 295–305. 1 indexed citations
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Mattson, Johanna, et al.. (2023). Predictors of successful neoadjuvant treatment in HER2‑positive breast cancer. Oncology Letters. 26(4). 434–434. 3 indexed citations
5.
Κούρου, Κωνσταντίνα, Georgios C. Manikis, Eugenia Mylona, et al.. (2023). Personalized prediction of one-year mental health deterioration using adaptive learning algorithms: a multicenter breast cancer prospective study. Scientific Reports. 13(1). 7059–7059. 2 indexed citations
6.
Karademas, Evangelos C., Ilan Roziner, Panagiotis G. Simos, et al.. (2023). Changes over time in self-efficacy to cope with cancer and well-being in women with breast cancer: a cross-cultural study. Psychology and Health. 40(1). 141–154. 2 indexed citations
7.
Leskelä, Riikka‐Leena, et al.. (2023). Predictive factors for prolonged sick leave in breast cancer patients treated with adjuvant therapies: a retrospective registry study. Acta Oncologica. 62(10). 1331–1337. 1 indexed citations
8.
Vehmanen, Leena, Johanna Mattson, Evangelos C. Karademas, et al.. (2022). Associations between Physical Exercise, Quality of Life, Psychological Symptoms and Treatment Side Effects in Early Breast Cancer. The Breast Journal. 2022. 1–8. 11 indexed citations
9.
Karihtala, Peeter, Katja Porvari, Johanna Mattson, et al.. (2022). Comparison of the mutational profiles of neuroendocrine breast tumours, invasive ductal carcinomas and pancreatic neuroendocrine carcinomas. Oncogenesis. 11(1). 53–53. 5 indexed citations
10.
Poikonen‐Saksela, Paula, Eleni Kolokotroni, Leena Vehmanen, et al.. (2022). A graphical LASSO analysis of global quality of life, sub scales of the EORTC QLQ-C30 instrument and depression in early breast cancer. Scientific Reports. 12(1). 2112–2112. 7 indexed citations
11.
Roziner, Ilan, Shlomit Perry, Lauren Kelada, et al.. (2022). Psychological and somatic symptoms among breast cancer patients in four European countries: A cross‐lagged panel model. Stress and Health. 39(2). 474–482. 7 indexed citations
12.
Karademas, Evangelos C., Panagiotis G. Simos, Ruth Pat‐Horenczyk, et al.. (2022). The Interplay Between Trait Resilience and Coping Self-efficacy in Patients with Breast Cancer: An International Study. Journal of Clinical Psychology in Medical Settings. 30(1). 119–128. 11 indexed citations
13.
Κούρου, Κωνσταντίνα, Georgios C. Manikis, Paula Poikonen‐Saksela, et al.. (2021). A machine learning-based pipeline for modeling medical, socio-demographic, lifestyle and self-reported psychological traits as predictors of mental health outcomes after breast cancer diagnosis: An initial effort to define resilience effects. Computers in Biology and Medicine. 131. 104266–104266. 30 indexed citations
14.
Poikonen‐Saksela, Paula, et al.. (2021). A Novel Digital Patient-Reported Outcome Platform (Noona) for Clinical Use in Patients With Cancer: Pilot Study Assessing Suitability. JMIR Formative Research. 5(5). e16156–e16156. 7 indexed citations
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Pelttari, Liisa M., Paula Poikonen‐Saksela, Antti Jekunen, et al.. (2017). CHEK2 c.1100delC mutation is associated with an increased risk for male breast cancer in Finnish patient population. BMC Cancer. 17(1). 620–620. 28 indexed citations
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Bártková, Jiřina, Dario Greco, Johanna Tommiska, et al.. (2011). NQO1 expression correlates inversely with NFκB activation in human breast cancer. Breast Cancer Research and Treatment. 132(3). 955–968. 15 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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