Igor Serša

2.2k total citations
127 papers, 1.6k citations indexed

About

Igor Serša is a scholar working on Radiology, Nuclear Medicine and Imaging, Nuclear and High Energy Physics and Biomedical Engineering. According to data from OpenAlex, Igor Serša has authored 127 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Radiology, Nuclear Medicine and Imaging, 29 papers in Nuclear and High Energy Physics and 25 papers in Biomedical Engineering. Recurrent topics in Igor Serša's work include Advanced MRI Techniques and Applications (42 papers), NMR spectroscopy and applications (28 papers) and Venous Thromboembolism Diagnosis and Management (16 papers). Igor Serša is often cited by papers focused on Advanced MRI Techniques and Applications (42 papers), NMR spectroscopy and applications (28 papers) and Venous Thromboembolism Diagnosis and Management (16 papers). Igor Serša collaborates with scholars based in Slovenia, United States and United Kingdom. Igor Serša's co-authors include Franci Bajd, Damijan Miklavčič, Matej Kranjc, Urša Mikac, Franci Demšar, Maks Merela, Aleš Blinc, Ana Sepe, V. Jevtič and Primož Oven and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Physics Letters and PLoS ONE.

In The Last Decade

Igor Serša

121 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Igor Serša 447 437 236 193 189 127 1.6k
Steven F. Tanner 305 0.7× 819 1.9× 29 0.1× 31 0.2× 134 0.7× 63 2.8k
R.H. Morris 332 0.7× 107 0.2× 13 0.1× 177 0.9× 35 0.2× 86 1.5k
E. Russell Ritenour 638 1.4× 550 1.3× 51 0.2× 160 0.8× 9 0.0× 49 1.9k
Stefan Hartmann 186 0.4× 102 0.2× 18 0.1× 93 0.5× 24 0.1× 130 2.2k
Benjamin B. Williams 352 0.8× 1.1k 2.4× 112 0.5× 121 0.6× 12 0.1× 119 2.8k
Makoto Nishimura 284 0.6× 97 0.2× 59 0.3× 92 0.5× 72 0.4× 221 2.9k
Satoshi Sasaki 350 0.8× 84 0.2× 48 0.2× 161 0.8× 8 0.0× 160 3.1k
Yuki Taniguchi 166 0.4× 70 0.2× 11 0.0× 321 1.7× 38 0.2× 186 3.1k
Masahiko Yamada 256 0.6× 101 0.2× 44 0.2× 67 0.3× 11 0.1× 211 2.1k
B. J. Bellhouse 594 1.3× 142 0.3× 31 0.1× 239 1.2× 10 0.1× 68 2.0k

Countries citing papers authored by Igor Serša

Since Specialization
Citations

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

Fields of papers citing papers by Igor Serša

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Igor Serša

This figure shows the co-authorship network connecting the top 25 collaborators of Igor Serša. A scholar is included among the top collaborators of Igor Serša 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 Igor Serša. Igor Serša 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.
Kranjc, Matej, et al.. (2025). Electrical Pathways Through the Intricate Network of Skeletal Muscle Fibres: Insights From MRI-Validated Numerical Modeling. IEEE Transactions on Biomedical Engineering. 72(12). 3535–3545. 1 indexed citations
2.
Janáček, Jiřı́, et al.. (2025). 3D Microstructural Characterization of Human Deep Fascia Using Optical Projection Tomography, Digital Light Sheet Microscopy, and Magnetic Resonance Microscopy. Microscopy Research and Technique. 88(11). 3037–3049. 3 indexed citations
3.
Janáček, Jiřı́, F Saudek, Igor Serša, et al.. (2025). Fascicle differentiation of upper extremity nerves on high-resolution ultrasound with multimodal microscopic verification. Scientific Reports. 15(1). 557–557. 9 indexed citations
4.
Serša, Igor, et al.. (2024). 3D fascicular reconstruction of median and ulnar nerve: initial experience and comparison between high-resolution ultrasound and MR microscopy. European Radiology Experimental. 8(1). 100–100. 12 indexed citations
5.
Miklavčič, Damijan, et al.. (2024). Analysis of magnetic resonance contrast agent entrapment following reversible electroporation in vitro. Radiology and Oncology. 58(3). 406–415.
7.
Serša, Igor, et al.. (2024). Analysis-Associated Factors Interfering With Diffusion Tensor Indices of Peripheral Nerves. SHILAP Revista de lepidopterología. 43(3). 203–210. 1 indexed citations
8.
Serša, Igor, et al.. (2023). Correlation between diffusion tensor indices and fascicular morphometric parameters of peripheral nerve. Frontiers in Physiology. 14. 1070227–1070227. 18 indexed citations
9.
Blinc, Aleš, et al.. (2023). Comparing CT and MR Properties of Artificial Thrombi According to Their Composition. Diagnostics. 13(10). 1802–1802.
10.
Cankar, Ksenija, et al.. (2022). Assessment of hyperbaric oxygenation treatment response in parotid glands by T 2 mapping following radiotherapy for head and neck tumours. Radiology and Oncology. 56(1). 60–68. 4 indexed citations
11.
Genovese, Jessica, Igor Serša, Vitalij Novickij, et al.. (2022). PEF treatment effect on plant tissues of heterogeneous structure no longer an enigma: MRI insights beyond the naked eye. Food Chemistry. 405. 134892–134892. 8 indexed citations
12.
Kocijančič, Igor, et al.. (2021). Study of correlations between CT properties of retrieved cerebral thrombi with treatment outcome of stroke patients. Radiology and Oncology. 55(4). 409–417. 2 indexed citations
13.
Kostevšek, Nina, Calvin C.L. Cheung, Igor Serša, et al.. (2020). Magneto-Liposomes as MRI Contrast Agents: A Systematic Study of Different Liposomal Formulations. Nanomaterials. 10(5). 889–889. 44 indexed citations
14.
Bajd, Franci, et al.. (2019). Retrieved cerebral thrombi studied by T 2 and ADC mapping: preliminary results. Radiology and Oncology. 53(4). 427–433. 5 indexed citations
15.
Kostevšek, Nina, Samo Hudoklin, Mateja Erdani Kreft, et al.. (2018). Magnetic interactions andin vitrostudy of biocompatible hydrocaffeic acid-stabilized Fe–Pt clusters as MRI contrast agents. RSC Advances. 8(26). 14694–14704. 9 indexed citations
16.
Kostevšek, Nina, Samo Hudoklin, Mateja Erdani Kreft, et al.. (2017). Hybrid FePt/SiO2/Au nanoparticles as a theranostic tool:in vitrophoto-thermal treatment and MRI imaging. Nanoscale. 10(3). 1308–1321. 18 indexed citations
17.
Bajd, Franci, et al.. (2014). Multiparametric MRI in characterizing venous thrombi and pulmonary thromboemboli acquired from patients with pulmonary embolism. Journal of Magnetic Resonance Imaging. 42(2). 354–361. 14 indexed citations
18.
Kranjc, Matej, Franci Bajd, Igor Serša, & Damijan Miklavčič. (2014). Magnetic resonance electrical impedance tomography for measuring electrical conductivity during electroporation. Physiological Measurement. 35(6). 985–996. 25 indexed citations
19.
Bajd, Franci & Igor Serša. (2012). A Concept of Thrombolysis as a Corrosion–Erosion Process Verified by Optical Microscopy. Microcirculation. 19(7). 632–641. 8 indexed citations
20.
Šuput, Dušan, Aleksandra Milutinović, Igor Serša, & Bojan Sedmak. (2002). Chronic exposure to cyanobacterial lyophilisate reveals stronger effects than exposure to purified microcystins-a MRI study. Radiology and Oncology. 36(2). 3 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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