Maciej Guziński

814 total citations
69 papers, 468 citations indexed

About

Maciej Guziński is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maciej Guziński has authored 69 papers receiving a total of 468 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 21 papers in Radiology, Nuclear Medicine and Imaging and 20 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maciej Guziński's work include Radiation Dose and Imaging (8 papers), Advanced X-ray and CT Imaging (7 papers) and Renal and Vascular Pathologies (6 papers). Maciej Guziński is often cited by papers focused on Radiation Dose and Imaging (8 papers), Advanced X-ray and CT Imaging (7 papers) and Renal and Vascular Pathologies (6 papers). Maciej Guziński collaborates with scholars based in Poland, United States and Pakistan. Maciej Guziński's co-authors include Marek Sąsiadek, Jerzy Garcarek, Dariusz Janczak, Julita Kulbacka, Wojciech Kielan, Joanna Bladowska, Anna M. Czarnecka, Paweł Szewczyk, Marcin Frączek and Anna Zimny and has published in prestigious journals such as PLoS ONE, International Journal of Environmental Research and Public Health and American Journal of Roentgenology.

In The Last Decade

Maciej Guziński

57 papers receiving 455 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maciej Guziński Poland 14 150 134 117 75 47 69 468
Hanfeng Yang China 17 121 0.8× 269 2.0× 178 1.5× 104 1.4× 46 1.0× 75 751
Marcus Thudium Germany 12 149 1.0× 55 0.4× 53 0.5× 81 1.1× 33 0.7× 42 515
Hidekazu Masaki Japan 14 185 1.2× 91 0.7× 130 1.1× 24 0.3× 51 1.1× 34 537
Caitlin McGregor Canada 7 130 0.9× 200 1.5× 185 1.6× 36 0.5× 30 0.6× 9 492
W Gill United Kingdom 9 109 0.7× 71 0.5× 72 0.6× 37 0.5× 47 1.0× 15 346
Anna Starzyńska Poland 16 115 0.8× 142 1.1× 156 1.3× 66 0.9× 35 0.7× 53 675
Jean Guimond Canada 13 145 1.0× 52 0.4× 181 1.5× 45 0.6× 159 3.4× 30 639
Ji Hoon Kim South Korea 16 276 1.8× 156 1.2× 28 0.2× 37 0.5× 21 0.4× 59 666
Seok Hahn South Korea 13 174 1.2× 131 1.0× 126 1.1× 42 0.6× 26 0.6× 45 511
Marco Giudice Italy 12 385 2.6× 162 1.2× 90 0.8× 35 0.5× 77 1.6× 26 671

Countries citing papers authored by Maciej Guziński

Since Specialization
Citations

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

Fields of papers citing papers by Maciej Guziński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maciej Guziński

This figure shows the co-authorship network connecting the top 25 collaborators of Maciej Guziński. A scholar is included among the top collaborators of Maciej Guziński 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 Maciej Guziński. Maciej Guziński 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
2.
Zimny, Anna, et al.. (2025). Assessing the eligibility of Brainomix e-ASPECTS for acute stroke imaging. Frontiers in Neuroinformatics. 19. 1668395–1668395.
3.
Nowak, Łukasz, Dawid Jańczak, Maciej Guziński, et al.. (2024). Clinical and Oncological Outcomes Following Percutaneous Cryoablation vs. Partial Nephrectomy for Clinical T1 Renal Tumours: Systematic Review and Meta-Analysis. Cancers. 16(6). 1175–1175. 4 indexed citations
5.
Janczak, Dariusz, et al.. (2024). Hepatic Hemangioma: Review of Imaging and Therapeutic Strategies. Medicina. 60(3). 449–449. 9 indexed citations
7.
Patrzałek, Leszek, et al.. (2023). Safety and Feasibility of Transarterial Bleomycin–Lipiodol Embolization in Patients with Giant Hepatic Hemangiomas. Medicina. 59(8). 1358–1358. 9 indexed citations
8.
Guziński, Maciej, et al.. (2023). Image Quality Improvement in Deep Learning Image Reconstruction of Head Computed Tomography Examination. Tomography. 9(4). 1485–1493. 7 indexed citations
9.
Nelke, Kamil, et al.. (2022). Methods of Definitive Correction of Mandibular Deformity in Hemimandibular Hyperplasia Based on Radiological, Anatomical, and Topographical Measurements—Proposition of Author’s Own Protocol. International Journal of Environmental Research and Public Health. 19(16). 10005–10005. 1 indexed citations
10.
Hałuszko, Agata, Marcin Kadej, Grzegorz B. Gmyrek, & Maciej Guziński. (2022). Let’s make a mess, maybe no one will notice. The impact of bioturbation activity on the urn fill condition. PLoS ONE. 17(9). e0274068–e0274068. 1 indexed citations
11.
Dziadkowiak, Edyta, et al.. (2021). Predictive factors in post-stroke epilepsy: Retrospective analysis. Advances in Clinical and Experimental Medicine. 30(1). 29–34. 9 indexed citations
12.
Mishra, Ruby, et al.. (2021). Non-invasive multi-channel deep learning convolutional neural networks for localization and classification of common hepatic lesions. Polish Journal of Radiology. 86. 440–448. 10 indexed citations
13.
Guziński, Maciej, Tomasz Dawiskiba, Małgorzata Małodobra-Mazur, et al.. (2020). Double VEGF/HGF Gene Therapy in Critical Limb Ischemia Complicated by Diabetes Mellitus. Journal of Cardiovascular Translational Research. 14(3). 409–415. 28 indexed citations
14.
Frączek, Marcin, et al.. (2018). Reliability of computed tomography scans in the diagnosis of chronic rhinosinusitis. Advances in Clinical and Experimental Medicine. 27(4). 541–545. 6 indexed citations
15.
Guziński, Maciej, et al.. (2016). Head CT: Image quality improvement of posterior fossa and radiation dose reduction with ASiR - comparative studies of CT head examinations. European Radiology. 26(10). 3691–3696. 18 indexed citations
16.
Guziński, Maciej, et al.. (2015). The Role Of Transarterial Embolization In The Treatment Of Renal Tumors. Advances in Clinical and Experimental Medicine. 24(5). 837–843. 10 indexed citations
17.
Sawicki, Marcin, Romuald Bohatyrewicz, Krzysztof Safranow, et al.. (2014). Computed tomographic angiography criteria in the diagnosis of brain death—comparison of sensitivity and interobserver reliability of different evaluation scales. Neuroradiology. 56(8). 609–620. 27 indexed citations
18.
Garcarek, Jerzy, et al.. (2013). Ten years single center experience in percutaneous transhepatic decompression of biliary tree in patients with malignant obstructive jaundice.. PubMed. 21(5). 621–32. 32 indexed citations
19.
Tupikowski, Krzysztof, et al.. (2013). Kidney angiomyolipoma in pregnancy. Editor-in-Chief s Voice List of Authors is an Important Element in a Scientific Publication. 66(4). 434–6. 3 indexed citations
20.
Guziński, Maciej, et al.. (2012). Trudności w obrazowaniu choroby Takayasu – opis przypadku i przegląd literatury. Polish Journal of Radiology. 77(4). 67–71. 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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