Kristina Szabo

3.2k total citations
118 papers, 2.0k citations indexed

About

Kristina Szabo is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, Kristina Szabo has authored 118 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Epidemiology, 32 papers in Radiology, Nuclear Medicine and Imaging and 26 papers in Neurology. Recurrent topics in Kristina Szabo's work include Acute Ischemic Stroke Management (39 papers), Cerebrovascular and Carotid Artery Diseases (21 papers) and Advanced MRI Techniques and Applications (20 papers). Kristina Szabo is often cited by papers focused on Acute Ischemic Stroke Management (39 papers), Cerebrovascular and Carotid Artery Diseases (21 papers) and Advanced MRI Techniques and Applications (20 papers). Kristina Szabo collaborates with scholars based in Germany, United States and Switzerland. Kristina Szabo's co-authors include Michael G. Hennerici, Achim Gass, Martin Griebe, Rolf Kern, Anne Ebert, Philipp Eisele, Michael Platten, Alex Förster, Carolin Hoyer and Marc E. Wolf and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Neurology.

In The Last Decade

Kristina Szabo

116 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kristina Szabo Germany 25 571 537 367 354 334 118 2.0k
Jeffrey M. Rogg United States 27 480 0.8× 680 1.3× 512 1.4× 172 0.5× 275 0.8× 59 2.2k
Anne Ebert Germany 21 662 1.2× 645 1.2× 176 0.5× 194 0.5× 201 0.6× 90 2.0k
Timo Kurki Finland 27 538 0.9× 665 1.2× 629 1.7× 341 1.0× 338 1.0× 74 2.5k
Ralph Weber Germany 28 1.0k 1.8× 429 0.8× 302 0.8× 199 0.6× 152 0.5× 86 2.0k
Igor Sibon France 30 1.0k 1.8× 692 1.3× 350 1.0× 472 1.3× 359 1.1× 212 3.1k
Lashmi Venkatraghavan Canada 29 325 0.6× 751 1.4× 322 0.9× 233 0.7× 194 0.6× 126 2.3k
Robert A. Dineen United Kingdom 25 489 0.9× 658 1.2× 624 1.7× 313 0.9× 163 0.5× 119 2.1k
Jean‐Philippe Cottier France 29 370 0.6× 888 1.7× 326 0.9× 290 0.8× 171 0.5× 152 2.9k
F. Kessels Netherlands 27 645 1.1× 547 1.0× 256 0.7× 141 0.4× 565 1.7× 46 2.5k
Philip Anslow United Kingdom 25 1.1k 2.0× 617 1.1× 198 0.5× 295 0.8× 234 0.7× 62 3.0k

Countries citing papers authored by Kristina Szabo

Since Specialization
Citations

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

Fields of papers citing papers by Kristina Szabo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kristina Szabo

This figure shows the co-authorship network connecting the top 25 collaborators of Kristina Szabo. A scholar is included among the top collaborators of Kristina Szabo 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 Kristina Szabo. Kristina Szabo 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.
Hee, Kim Eun, David Rügamer, Andreas Bender, et al.. (2025). Machine learning-based forecasting of daily acute ischemic stroke admissions using weather data. npj Digital Medicine. 8(1). 225–225. 1 indexed citations
2.
Szabo, Kristina, Carolin Hoyer, Jeffrey L. Saver, et al.. (2024). Mobile stroke units services in Germany: A cost‐effectiveness modeling perspective on catchment zones, operating modes, and staffing. European Journal of Neurology. 32(1). e16514–e16514. 1 indexed citations
3.
Wittayer, Matthias, Carolin Hoyer, Christina Roßmanith, et al.. (2022). Hippocampal subfield involvement in patients with transient global amnesia. Journal of Neuroimaging. 32(2). 264–267. 6 indexed citations
4.
Hoyer, Carolin, et al.. (2022). Sex-Specific Differences in Pre-Stroke Characteristics Reveal Vulnerability of Elderly Women. Journal of Personalized Medicine. 12(3). 344–344. 1 indexed citations
5.
Ebert, Anne, et al.. (2022). The remains of the day: neuropsychological findings in postacute transient global amnesia. Journal of Neurology. 269(9). 4764–4771. 4 indexed citations
6.
Hoyer, Carolin, et al.. (2021). Central retinal artery occlusion as a neuro‐ophthalmological emergency: the need to raise public awareness. European Journal of Neurology. 28(6). 2111–2114. 17 indexed citations
7.
Ebert, Anne, et al.. (2021). Impaired semantic memory during acute transient global amnesia. Journal of Neuropsychology. 16(1). 149–160. 4 indexed citations
8.
Hoyer, Carolin, Fabio Fabbian, Alfredo De Giorgi, et al.. (2021). Chronobiology of transient global amnesia. Journal of Neurology. 269(1). 361–367. 5 indexed citations
10.
Todo, Kenichi, Toshiaki Sasaki, Nobuyuki Ohara, et al.. (2020). A multicenter study of transient global amnesia for the better detection of magnetic resonance imaging abnormalities. European Journal of Neurology. 27(11). 2117–2124. 16 indexed citations
11.
Szabo, Kristina, Carolin Hoyer, Louis R. Caplan, et al.. (2020). Diffusion-weighted MRI in transient global amnesia and its diagnostic implications. Neurology. 95(2). e206–e212. 36 indexed citations
12.
Hoyer, Carolin, Anne Ebert, Philipp Eisele, et al.. (2020). Shedding light on the clinical recognition process of transient global amnesia. European Journal of Neurology. 27(10). 1821–1824. 4 indexed citations
13.
Hoyer, Carolin, Anne Ebert, Simon Nagel, et al.. (2020). <p>Comparing Expert and Non-Expert Assessment of Patients Presenting with Neurological Symptoms to the Emergency Department: A Retrospective Observational Study</p>. Neuropsychiatric Disease and Treatment. Volume 16. 447–456. 5 indexed citations
14.
Hoyer, Carolin, et al.. (2020). Decreased admissions and change in arrival mode in patients with cerebrovascular events during the first surge of the COVID-19 pandemic. SHILAP Revista de lepidopterología. 2(1). 47–47. 2 indexed citations
15.
Griebe, Martin, Anne Ebert, Michaela Ruttorf, et al.. (2019). Resting-state connectivity alterations during transient global amnesia. NeuroImage Clinical. 23. 101869–101869. 16 indexed citations
16.
Paech, Daniel, Tristan Anselm Kuder, Christina Roßmanith, et al.. (2019). What remains after transient global amnesia (TGA)? An ultra‐high field 7 T magnetic resonance imaging study of the hippocampus. European Journal of Neurology. 27(2). 406–409. 19 indexed citations
17.
Griebe, Martin, Michael A�mann, Jochen G. Hirsch, et al.. (2014). Reduced Functional Reserve in Patients with Age-Related White Matter Changes: A Preliminary fMRI Study of Working Memory. PLoS ONE. 9(8). e103359–e103359. 16 indexed citations
18.
Förster, Alex, et al.. (2011). Diffusion-Weighted Imaging for the Differential Diagnosis of Disorders Affecting the Hippocampus. Cerebrovascular Diseases. 33(2). 104–115. 78 indexed citations
19.
Alonso, Angelika, Achim Gass, Christina Roßmanith, et al.. (2011). Clinical and MRI patterns of pericallosal artery infarctions: the significance of supplementary motor area lesions. Journal of Neurology. 259(5). 944–951. 16 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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