Jan Hrbáček

2.1k total citations
83 papers, 1.3k citations indexed

About

Jan Hrbáček is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Ophthalmology. According to data from OpenAlex, Jan Hrbáček has authored 83 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pulmonary and Respiratory Medicine, 26 papers in Radiation and 21 papers in Ophthalmology. Recurrent topics in Jan Hrbáček's work include Radiation Therapy and Dosimetry (28 papers), Advanced Radiotherapy Techniques (24 papers) and Ocular Oncology and Treatments (18 papers). Jan Hrbáček is often cited by papers focused on Radiation Therapy and Dosimetry (28 papers), Advanced Radiotherapy Techniques (24 papers) and Ocular Oncology and Treatments (18 papers). Jan Hrbáček collaborates with scholars based in Switzerland, Czechia and Italy. Jan Hrbáček's co-authors include Stephanie Tanadini‐Lang, Stephan Klöck, Pavel Čermák, Antony Lomax, Damien C. Weber, Roman Zachoval, Alessia Pica, Ruth Tachezy, Eva Hamšíková and Mi­chael Urban and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and The Journal of Urology.

In The Last Decade

Jan Hrbáček

74 papers receiving 1.3k 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 Hrbáček Switzerland 21 719 705 473 194 181 83 1.3k
June L. Chan United States 13 476 0.7× 495 0.7× 481 1.0× 118 0.6× 177 1.0× 26 1.6k
Karin Müller Germany 24 295 0.4× 670 1.0× 249 0.5× 700 3.6× 268 1.5× 64 2.0k
Tony Y. Eng United States 22 189 0.3× 286 0.4× 186 0.4× 335 1.7× 327 1.8× 89 1.4k
G.J.M.J. van den Aardweg United Kingdom 16 147 0.2× 160 0.2× 294 0.6× 104 0.5× 35 0.2× 29 697
Richard C. Zellars United States 18 311 0.4× 310 0.4× 468 1.0× 132 0.7× 110 0.6× 73 1.2k
Al V. Taira United States 17 227 0.3× 745 1.1× 176 0.4× 330 1.7× 489 2.7× 42 1.5k
Mathieu Sertorio United States 13 474 0.7× 513 0.7× 257 0.5× 24 0.1× 89 0.5× 28 971
Miles Wagner United States 14 654 0.9× 680 1.0× 191 0.4× 55 0.3× 29 0.2× 21 888
Shyam Rao United States 18 166 0.2× 232 0.3× 226 0.5× 249 1.3× 138 0.8× 61 1.1k
Philipp Steininger Germany 16 200 0.3× 161 0.2× 167 0.4× 50 0.3× 70 0.4× 55 666

Countries citing papers authored by Jan Hrbáček

Since Specialization
Citations

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

Fields of papers citing papers by Jan Hrbáček

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Hrbáček

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Hrbáček. A scholar is included among the top collaborators of Jan Hrbáček 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 Hrbáček. Jan Hrbáček 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.
Li, Xia, Jan Hrbáček, Damien C. Weber, et al.. (2024). A unified generation‐registration framework for improved MR‐based CT synthesis in proton therapy. Medical Physics. 51(11). 8302–8316. 2 indexed citations
2.
Fattori, Giovanni, G. Meier, C. Bula, et al.. (2023). A motion model-guided 4D dose reconstruction for pencil beam scanned proton therapy. Physics in Medicine and Biology. 68(11). 115013–115013. 8 indexed citations
3.
Hrbáček, Jan, et al.. (2022). Bladder cancer is associated with decreased urinary microbiota diversity and alterations in microbial community composition. Urologic Oncology Seminars and Original Investigations. 41(2). 107.e15–107.e22. 24 indexed citations
4.
Hrbáček, Jan, Pavel Čermák, & Roman Zachoval. (2021). Current antibiotic resistance patterns of rare uropathogens: survey from Central European Urology Department 2011–2019. BMC Urology. 21(1). 61–61. 18 indexed citations
5.
Mishra, Kavita, Armin R. Afshar, Juliette Thariat, et al.. (2020). Practice Considerations for Proton Beam Radiation Therapy of Uveal Melanoma During the Coronavirus Disease Pandemic: Particle Therapy Co-Operative Group Ocular Experience. Advances in Radiation Oncology. 5(4). 682–686. 8 indexed citations
6.
Pica, Alessia, Damien C. Weber, Ciara Bergin, et al.. (2020). Good long-term visual outcomes of parapapillary choroidal melanoma patients treated with proton therapy: a comparative study. International Ophthalmology. 41(2). 441–452. 8 indexed citations
7.
Fattori, Giovanni, Jan Hrbáček, C. Bula, et al.. (2020). Commissioning and quality assurance of a novel solution for respiratory-gated PBS proton therapy based on optical tracking of surface markers. Zeitschrift für Medizinische Physik. 32(1). 52–62. 17 indexed citations
8.
Fattori, Giovanni, Jan Hrbáček, Ye Zhang, et al.. (2019). The dependence of interplay effects on the field scan direction in PBS proton therapy. Physics in Medicine and Biology. 64(9). 95005–95005. 3 indexed citations
9.
Winterhalter, Carla, Alessandra Bolsi, Jan Hrbáček, et al.. (2019). Evaluation of the ray-casting analytical algorithm for pencil beam scanning proton therapy. Physics in Medicine and Biology. 64(6). 65021–65021. 18 indexed citations
10.
11.
Hrbáček, Jan, et al.. (2019). Prevalence uropatogenů v moči a spektrum jejich rezistence - analýza dat z jednoho pracoviště. 23(4). 316–324.
12.
Pica, Alessia, Jan Hrbáček, Damien C. Weber, et al.. (2019). A novel segmentation framework for uveal melanoma in magnetic resonance imaging based on class activation maps. SERVAL (Université de Lausanne). 102. 370–379. 3 indexed citations
13.
Bula, C., et al.. (2019). Dynamic beam current control for improved dose accuracy in PBS proton therapy. Physics in Medicine and Biology. 64(17). 175003–175003. 7 indexed citations
14.
Lomax, Antony, et al.. (2018). Automated Treatment Planning System for Uveal Melanomas Treated With Proton Therapy: A Proof-of-Concept Analysis. International Journal of Radiation Oncology*Biology*Physics. 101(3). 724–731. 13 indexed citations
15.
Hořínek, Aleš, A. Brisuda, Iveta Svobodová, et al.. (2016). MicroRNAs in urine supernatant as potential non-invasive markers for bladder cancer detection. Neoplasma. 63(5). 799–808. 48 indexed citations
16.
Hora, Milan, et al.. (2015). Ischemie ledviny při resekcích ledvin a možnosti jejího ovlivnění. 19(2). 118–130. 3 indexed citations
17.
Hrbáček, Jan, et al.. (2014). Dosimetric comparison of flattened and unflattened beams for stereotactic ablative radiotherapy of stage I non‐small cell lung cancer. Medical Physics. 41(3). 31709–31709. 45 indexed citations
18.
19.
Hrbáček, Jan, Tom Depuydt, An Nulens, Ans Swinnen, & Frank Van den Heuvel. (2007). Quantitative evaluation of a beam‐matching procedure using one‐dimensional gamma analysis. Medical Physics. 34(7). 2917–2927. 37 indexed citations
20.
Depuydt, Tom, Jan Hrbáček, Pieter Slagmolen, & Frank Van den Heuvel. (2006). Cone-beam CT Hounsfield unit correction method and application on images of the pelvic region. Radiotherapy and Oncology. 81. 7 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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