Jan Seppälä

1.1k total citations
35 papers, 737 citations indexed

About

Jan Seppälä is a scholar working on Radiation, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jan Seppälä has authored 35 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Radiation, 18 papers in Pulmonary and Respiratory Medicine and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jan Seppälä's work include Advanced Radiotherapy Techniques (28 papers), Breast Cancer Treatment Studies (12 papers) and Radiation Therapy and Dosimetry (9 papers). Jan Seppälä is often cited by papers focused on Advanced Radiotherapy Techniques (28 papers), Breast Cancer Treatment Studies (12 papers) and Radiation Therapy and Dosimetry (9 papers). Jan Seppälä collaborates with scholars based in Finland, Italy and United States. Jan Seppälä's co-authors include Tapani Lahtinen, Janne Heikkilä, Tuomas Virén, Paul M. Meaney, Andrew Gregory, Heikki Minn, Jarmo Kulmala, Paula Lindholm, Karin Johansson and Antonella Fogliata and has published in prestigious journals such as International Journal of Radiation Oncology*Biology*Physics, IEEE Transactions on Microwave Theory and Techniques and Medical Physics.

In The Last Decade

Jan Seppälä

31 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jan Seppälä Finland 15 469 308 292 269 120 35 737
A. Petoukhova Netherlands 17 405 0.9× 241 0.8× 277 0.9× 335 1.2× 87 0.7× 45 733
Chee‐Wai Cheng United States 12 443 0.9× 298 1.0× 94 0.3× 288 1.1× 89 0.7× 20 619
Dennis D. Leavitt United States 17 496 1.1× 335 1.1× 142 0.5× 277 1.0× 59 0.5× 60 696
Massimo Pasquino Italy 16 630 1.3× 461 1.5× 166 0.6× 467 1.7× 168 1.4× 46 905
C. Popescu Canada 9 747 1.6× 475 1.5× 335 1.1× 388 1.4× 96 0.8× 18 831
Piera Sciacero Italy 16 514 1.1× 388 1.3× 251 0.9× 289 1.1× 61 0.5× 38 825
Sergei Zavgorodni Canada 13 965 2.1× 692 2.2× 183 0.6× 621 2.3× 208 1.7× 44 1.0k
Poonam Yadav United States 15 481 1.0× 376 1.2× 79 0.3× 533 2.0× 132 1.1× 80 856
Truus Reynders Belgium 18 938 2.0× 568 1.8× 150 0.5× 659 2.4× 165 1.4× 35 1.1k
Jens Fleckenstein Germany 15 676 1.4× 494 1.6× 49 0.2× 475 1.8× 169 1.4× 56 842

Countries citing papers authored by Jan Seppälä

Since Specialization
Citations

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

Fields of papers citing papers by Jan Seppälä

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Seppälä

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Seppälä. A scholar is included among the top collaborators of Jan Seppälä 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 Jan Seppälä. Jan Seppälä 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
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Tan, Hong Qi, Fuqiang Wang, Timo Kiljunen, et al.. (2025). Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy. npj Digital Medicine. 8(1). 312–312. 2 indexed citations
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Virén, Tuomas, et al.. (2024). Interfractional variation in whole-breast VMAT irradiation: a dosimetric study with complementary SGRT and CBCT patient setup. Radiation Oncology. 19(1). 21–21. 2 indexed citations
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Rossi, M, Tuomas Virén, Janne Heikkilä, Jan Seppälä, & Eeva Boman. (2020). The robustness of VMAT radiotherapy for breast cancer with tissue deformations. Medical dosimetry. 46(1). 86–93. 14 indexed citations
8.
Hargitai, Rita, Jukka Luukkonen, Géza Sáfrány, et al.. (2019). Mitochondrial DNA damage in the hair bulb: can it be used as a noninvasive biomarker of local exposure to low LET ionizing radiation?. International Journal of Radiation Biology. 96(4). 491–501. 3 indexed citations
9.
Seppälä, Jan, et al.. (2017). Surface doses of flattening filter free beams with volumetric modulated arc therapy dose delivery for breast cancer. Physics and Imaging in Radiation Oncology. 2. 17–22. 7 indexed citations
10.
Fogliata, Antonella, Michele Zeverino, Eeva Boman, et al.. (2017). Dosimetric evaluation of modern radiation therapy techniques for left breast in deep-inspiration breath-hold. Physica Medica. 45. 82–87. 22 indexed citations
11.
Meaney, Paul M., Andrew Gregory, Jan Seppälä, & Tapani Lahtinen. (2016). Open-Ended Coaxial Dielectric Probe Effective Penetration Depth Determination. IEEE Transactions on Microwave Theory and Techniques. 64(3). 1–9. 113 indexed citations
12.
Seppälä, Jan, et al.. (2015). Volumetric modulated arc therapy for synchronous bilateral whole breast irradiation – A case study. Reports of Practical Oncology & Radiotherapy. 20(5). 398–402. 33 indexed citations
13.
Virén, Tuomas, et al.. (2015). Tangential volumetric modulated arc therapy technique for left-sided breast cancer radiotherapy. Radiation Oncology. 10(1). 79–79. 103 indexed citations
14.
Lahtinen, Tapani, Jan Seppälä, Tuomas Virén, & Karin Johansson. (2015). Experimental and Analytical Comparisons of Tissue Dielectric Constant (TDC) and Bioimpedance Spectroscopy (BIS) in Assessment of Early Arm Lymphedema in Breast Cancer Patients after Axillary Surgery and Radiotherapy. Lymphatic Research and Biology. 13(3). 176–185. 58 indexed citations
15.
Heikkilä, Janne, et al.. (2015). Flattening filter free technique in breath-hold treatments of left-sided breast cancer: The effect on beam-on time and dose distributions. Radiotherapy and Oncology. 118(1). 194–198. 14 indexed citations
16.
Komar, Gaber, Kaisa Lehtiö, Marko Seppänen, et al.. (2014). Prognostic value of tumour blood flow, [18F]EF5 and [18F]FDG PET/CT imaging in patients with head and neck cancer treated with radiochemotherapy. European Journal of Nuclear Medicine and Molecular Imaging. 41(11). 2042–2050. 39 indexed citations
17.
Seppälä, Jan, Sami Suilamo, Jarmo Kulmala, Pekka Mali, & Heikki Minn. (2012). A dosimetric phantom study of dose accuracy and build-up effects using IMRT and RapidArc in stereotactic irradiation of lung tumours. Radiation Oncology. 7(1). 79–79. 13 indexed citations
18.
Seppälä, Jan, Jarmo Kulmala, Paula Lindholm, & Heikki Minn. (2010). A method to improve target dose homogeneity of craniospinal irradiation using dynamic split field IMRT. Radiotherapy and Oncology. 96(2). 209–215. 34 indexed citations
19.
Minn, Heikki, Sami Suilamo, & Jan Seppälä. (2010). Impact of PET/CT on planning of radiotherapy in head and neck cancer.. PubMed. 54(5). 521–32. 11 indexed citations
20.
Seppälä, Jan, Tapani Lahtinen, & Pekka Kolmonen. (2008). Major reduction of monitor units with the avoidance of leaf-sequencing step by direct aperture based IMRT optimisation. Acta Oncologica. 48(3). 426–430. 5 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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