Eva Kitzlerová

955 total citations
28 papers, 719 citations indexed

About

Eva Kitzlerová is a scholar working on Cardiology and Cardiovascular Medicine, Psychiatry and Mental health and Biological Psychiatry. According to data from OpenAlex, Eva Kitzlerová has authored 28 papers receiving a total of 719 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cardiology and Cardiovascular Medicine, 8 papers in Psychiatry and Mental health and 6 papers in Biological Psychiatry. Recurrent topics in Eva Kitzlerová's work include Cardiac electrophysiology and arrhythmias (7 papers), Tryptophan and brain disorders (6 papers) and Bipolar Disorder and Treatment (5 papers). Eva Kitzlerová is often cited by papers focused on Cardiac electrophysiology and arrhythmias (7 papers), Tryptophan and brain disorders (6 papers) and Bipolar Disorder and Treatment (5 papers). Eva Kitzlerová collaborates with scholars based in Czechia, Germany and Poland. Eva Kitzlerová's co-authors include Jiří Raboch, Zdeněk Fišar, Martina Zvěřová, Jana Hroudová, Roman Jirák, Lucie Kališová, Thomas Kallert, Jan Plátenı́k, Stefan Priebe and Georgi Onchev and has published in prestigious journals such as Psychiatric Services, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Frontiers in Psychiatry.

In The Last Decade

Eva Kitzlerová

25 papers receiving 704 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Kitzlerová Czechia 13 247 144 137 126 110 28 719
Jinguo Zhai China 19 121 0.5× 160 1.1× 85 0.6× 50 0.4× 415 3.8× 55 971
Maosheng Fang China 15 146 0.6× 132 0.9× 264 1.9× 104 0.8× 523 4.8× 29 974
Javier Vázquez-Bourgón Spain 16 142 0.6× 80 0.6× 88 0.6× 111 0.9× 464 4.2× 77 793
Ladislav Hosák Czechia 15 113 0.5× 132 0.9× 48 0.4× 70 0.6× 310 2.8× 57 807
Xiaofeng Guo China 16 123 0.5× 168 1.2× 283 2.1× 121 1.0× 663 6.0× 39 1.1k
Atheeshaan Arumuham United Kingdom 8 110 0.4× 117 0.8× 177 1.3× 130 1.0× 517 4.7× 19 907
Susanne Stübner Germany 17 115 0.5× 85 0.6× 188 1.4× 99 0.8× 409 3.7× 49 800
Philip Heiser Germany 19 107 0.4× 101 0.7× 82 0.6× 99 0.8× 476 4.3× 42 886
Chih‐Chiang Chiu Taiwan 13 83 0.3× 126 0.9× 91 0.7× 148 1.2× 312 2.8× 41 734
Lehua Li China 19 105 0.4× 133 0.9× 234 1.7× 100 0.8× 586 5.3× 37 1.2k

Countries citing papers authored by Eva Kitzlerová

Since Specialization
Citations

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

Fields of papers citing papers by Eva Kitzlerová

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Kitzlerová

This figure shows the co-authorship network connecting the top 25 collaborators of Eva Kitzlerová. A scholar is included among the top collaborators of Eva Kitzlerová 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 Eva Kitzlerová. Eva Kitzlerová 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
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Fišar, Zdeněk, Jana Hroudová, Martina Zvěřová, et al.. (2023). Age-Dependent Alterations in Platelet Mitochondrial Respiration. Biomedicines. 11(6). 1564–1564. 8 indexed citations
4.
Michaličková, Danica, et al.. (2021). Novel approaches in schizophrenia-from risk factors and hypotheses to novel drug targets. World Journal of Psychiatry. 11(7). 277–296. 29 indexed citations
5.
Zvěřová, Martina, Jana Hroudová, Zdeněk Fišar, et al.. (2019). Disturbances of mitochondrial parameters to distinguish patients with depressive episode of bipolar disorder and major depressive disorder. Neuropsychiatric Disease and Treatment. Volume 15. 233–240. 27 indexed citations
6.
Fišar, Zdeněk, Hana Hansíková, Jana Křížová, et al.. (2019). Activities of mitochondrial respiratory chain complexes in platelets of patients with Alzheimer's disease and depressive disorder. Mitochondrion. 48. 67–77. 42 indexed citations
7.
Hroudová, Jana, Zdeněk Fišar, Hana Hansíková, et al.. (2019). Mitochondrial Dysfunction in Blood Platelets of Patients with Manic Episode of Bipolar Disorder. CNS & Neurological Disorders - Drug Targets. 18(3). 222–231. 14 indexed citations
8.
Kitzlerová, Eva, Zdeněk Fišar, Petra Lelková, et al.. (2018). Interactions Among Polymorphisms of Susceptibility Loci for Alzheimer’s Disease or Depressive Disorder. Medical Science Monitor. 24. 2599–2619. 16 indexed citations
9.
Zvěřová, Martina, Eva Kitzlerová, Zdeněk Fišar, et al.. (2018). Interplay between the APOE Genotype and Possible Plasma Biomarkers in Alzheimer’s Disease. Current Alzheimer Research. 15(10). 938–950. 21 indexed citations
10.
Plátenı́k, Jan, Zdeněk Fišar, Roman Jirák, et al.. (2013). GSK3β, CREB, and BDNF in peripheral blood of patients with Alzheimer's disease and depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 50. 83–93. 141 indexed citations
11.
Hroudová, Jana, Zdeněk Fišar, Eva Kitzlerová, Martina Zvěřová, & Jiří Raboch. (2013). Mitochondrial respiration in blood platelets of depressive patients. Mitochondrion. 13(6). 795–800. 80 indexed citations
12.
Raboch, Jiří, Lucie Kališová, Alexander Nawka, et al.. (2010). Use of Coercive Measures During Involuntary Hospitalization: Findings From Ten European Countries. Psychiatric Services. 61(10). 1012–1017. 213 indexed citations
13.
Raboch, Jiří, Lucie Kališová, Alexander Nawka, et al.. (2010). Use of Coercive Measures During Involuntary Hospitalization: Findings From Ten European Countries. Psychiatric Services. 61(10). 1012–1017. 31 indexed citations
14.
Kališová, Lucie, et al.. (2007). Coercive measures used during hospitalization. Eunomia - final results in the Czech Republic. European Psychiatry. 22. S309–S309. 3 indexed citations
15.
Kitzlerová, Eva, Martin Anders, Josef Kautzner, & A Dohnalová. (2007). Evaluation of psychopathology in patients with paroxysmal supraventricular tachycardia.. PubMed. 12(1). 42–5. 10 indexed citations
16.
Nawka, Alexander, et al.. (2007). Does the legal status affect the outcome of inpatients with schizophrenia?. European Psychiatry. 22. S128–S128. 1 indexed citations
17.
Paclt, Ivo, et al.. (2003). Electrocardiographic dose-dependent changes in prophylactic doses of dosulepine, lithium and citalopram. Physiological Research. 52(3). 311–317. 9 indexed citations
18.
Kitzlerová, Eva, Ivo Paclt, J Slavíček, et al.. (2003). Plasma levels of dosulepine and heart electric field. Physiological Research. 52(3). 319–325. 4 indexed citations
19.
Paclt, Ivo, et al.. (2002). Electrocardiogram, vectocardiogram and body surface maps in patients with panic disorder.. PubMed. 51(4). 401–6. 9 indexed citations
20.
Paclt, Ivo, et al.. (2002). Electrocardiogram,vectorcardiogram and body surface maps in patients with panic disorder. Physiological Research. 401–406. 4 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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