Kai Liesirova

691 total citations · 1 hit paper
8 papers, 366 citations indexed

About

Kai Liesirova is a scholar working on Epidemiology, Neurology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Kai Liesirova has authored 8 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Epidemiology, 4 papers in Neurology and 3 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Kai Liesirova's work include Acute Ischemic Stroke Management (5 papers), Stroke Rehabilitation and Recovery (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Kai Liesirova is often cited by papers focused on Acute Ischemic Stroke Management (5 papers), Stroke Rehabilitation and Recovery (2 papers) and Cerebrovascular and Carotid Artery Diseases (2 papers). Kai Liesirova collaborates with scholars based in Switzerland, Austria and Germany. Kai Liesirova's co-authors include Julia Meisterernst, Marcel Arnold, Anne Broeg-Morvay, Simon Jung, Marie‐Luise Mono, Marwan El‐Koussy, Hakan Sarıkaya, Georg Kägi, Heinrich P. Mattle and Pasquale Mordasini and has published in prestigious journals such as PLoS ONE, Stroke and European Journal of Paediatric Neurology.

In The Last Decade

Kai Liesirova

7 papers receiving 355 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Dysphagia in Acute Stroke: Incidence, Burden and Impact on Clinical Outcome

2016 272 citations Marcel Arnold, Kai Liesirova et al. PLoS ONE profile →

Peers

Kai Liesirova

SH

PRM

SURGE

EPIDE

PHYSI

Julia Meisterernst Switzerland

Cynthia Wagner United States

Sourabh Lahoti United States

Diane Havard United Kingdom

S Singh United Kingdom

Michele Wesling United States

Shaloo Singhal Australia

S.Y. Phua Singapore

Keiko Onogi Japan

Michael De Georgia United States

Julia Meisterernst Switzerland

Kai Liesirova

229 ×1.0

SH

230 ×1.2

PRM

150 ×1.0

SURGE

208 ×1.7

EPIDE

74 ×1.0

PHYSI

Citations per year, relative to Kai Liesirova Kai Liesirova (= 1×) peers Julia Meisterernst

Countries citing papers authored by Kai Liesirova

Since Specialization

Citations

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

Fields of papers citing papers by Kai Liesirova

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Liesirova

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Liesirova. A scholar is included among the top collaborators of Kai Liesirova 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 Kai Liesirova. Kai Liesirova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Liesirova, Kai, Eugenio Abela, Thomas Pilgrim, et al.. (2018). Baseline Troponin T level in stroke and its association with stress cardiomyopathy. PLoS ONE. 13(12). e0209764–e0209764. 7 indexed citations

2.

Tritt, Stephanie, et al.. (2018). Comparison of the detectability of UBOs in Neurofibromatosis Type I patients with proton density-weighted and FLAIR sequences in 3T MRI. European Journal of Paediatric Neurology. 22(4). 615–619. 3 indexed citations

3.

Broeg-Morvay, Anne, Pasquale Mordasini, Kai Liesirova, et al.. (2017). Does Antiplatelet Therapy during Bridging Thrombolysis Increase Rates of Intracerebral Hemorrhage in Stroke Patients?. PLoS ONE. 12(1). e0170045–e0170045. 14 indexed citations

4.

Arnold, Marcel, Kai Liesirova, Anne Broeg-Morvay, et al.. (2016). Dysphagia in Acute Stroke: Incidence, Burden and Impact on Clinical Outcome. PLoS ONE. 11(2). e0148424–e0148424. 272 indexed citations breakdown →

5.

Liesirova, Kai, Julia Meisterernst, Pascal P. Klinger-Gratz, et al.. (2015). Younger Stroke Patients With Large Pretreatment Diffusion-Weighted Imaging Lesions May Benefit From Endovascular Treatment. Stroke. 46(9). 2510–2516. 64 indexed citations

6.

Arnold, Marcel, Damian N. Meli, Heinrich P. Mattle, et al.. (2014). Transiente ischämische Attacke (TIA) – ein Notfall!. Swiss Medical Forum ‒ Schweizerisches Medizin-Forum. 14(1617). 1 indexed citations

7.

Arnold, Marcel, Damian N. Meli, Heinrich P. Mattle, et al.. (2014). Accident ischémique transitoire – une urgence médicale!. Forum Médical Suisse ‒ Swiss Medical Forum. 14(1617).

8.

Minnerup, Jens, Michael Storck, Azmil H. Abdul‐Rahim, et al.. (2014). Feasibility Platform for Stroke Studies. Stroke. 46(1). 137–142. 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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