Katalin Szebeni

1.0k total citations
24 papers, 798 citations indexed

About

Katalin Szebeni is a scholar working on Cellular and Molecular Neuroscience, Biological Psychiatry and Surgery. According to data from OpenAlex, Katalin Szebeni has authored 24 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 6 papers in Biological Psychiatry and 5 papers in Surgery. Recurrent topics in Katalin Szebeni's work include Neuroscience and Neuropharmacology Research (8 papers), Tryptophan and brain disorders (6 papers) and Stress Responses and Cortisol (5 papers). Katalin Szebeni is often cited by papers focused on Neuroscience and Neuropharmacology Research (8 papers), Tryptophan and brain disorders (6 papers) and Stress Responses and Cortisol (5 papers). Katalin Szebeni collaborates with scholars based in United States, Russia and Canada. Katalin Szebeni's co-authors include Gregory A. Ordway, Craig A. Stockmeier, Attila Szebeni, Michelle Chandley, Jessica Crawford, Beata Karolewicz, Jeffrey A. Love, Gustavo Turecki, T. A. Gilmore and Dorota Maciąg and has published in prestigious journals such as Gastroenterology, Brain Research and Neuroscience.

In The Last Decade

Katalin Szebeni

24 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Katalin Szebeni United States 16 310 300 188 169 134 24 798
Jaime G. Maldonado‐Avilés United States 9 294 0.9× 485 1.6× 328 1.7× 202 1.2× 100 0.7× 10 1.0k
Laurent Tritschler France 14 246 0.8× 345 1.1× 237 1.3× 146 0.9× 84 0.6× 26 783
Mary Urbina Venezuela 15 274 0.9× 412 1.4× 295 1.6× 190 1.1× 89 0.7× 47 853
Eleni Païzanis France 14 127 0.4× 312 1.0× 149 0.8× 177 1.0× 149 1.1× 17 857
Chan Hong Lee South Korea 15 182 0.6× 341 1.1× 219 1.2× 158 0.9× 83 0.6× 18 732
Song Lin China 14 207 0.7× 299 1.0× 207 1.1× 168 1.0× 136 1.0× 30 778
Mónica Morais Portugal 14 259 0.8× 329 1.1× 162 0.9× 276 1.6× 129 1.0× 25 871
Xian‐Hui Zhu China 5 335 1.1× 192 0.6× 195 1.0× 303 1.8× 178 1.3× 6 850
Jianan Li United States 3 388 1.3× 384 1.3× 242 1.3× 205 1.2× 55 0.4× 3 830

Countries citing papers authored by Katalin Szebeni

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Szebeni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katalin Szebeni

This figure shows the co-authorship network connecting the top 25 collaborators of Katalin Szebeni. A scholar is included among the top collaborators of Katalin Szebeni 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 Katalin Szebeni. Katalin Szebeni 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.
Chandley, Michelle, Attila Szebeni, Katalin Szebeni, et al.. (2022). Markers of elevated oxidative stress in oligodendrocytes captured from the brainstem and occipital cortex in major depressive disorder and suicide. Progress in Neuro-Psychopharmacology and Biological Psychiatry. 117. 110559–110559. 24 indexed citations
2.
3.
Ordway, Gregory A., Attila Szebeni, Jessica Crawford, et al.. (2017). Antidepressant-Like Actions of Inhibitors of Poly(ADP-Ribose) Polymerase in Rodent Models. The International Journal of Neuropsychopharmacology. 14 indexed citations
4.
Szebeni, Attila, Katalin Szebeni, Timothy P. DiPeri, et al.. (2016). Elevated DNA Oxidation and DNA Repair Enzyme Expression in Brain White Matter in Major Depressive Disorder. The International Journal of Neuropsychopharmacology. 20(5). pyw114–pyw114. 45 indexed citations
5.
Chandley, Michelle, Attila Szebeni, Katalin Szebeni, et al.. (2014). Elevated gene expression of glutamate receptors in noradrenergic neurons from the locus coeruleus in major depression. The International Journal of Neuropsychopharmacology. 17(10). 1569–1578. 78 indexed citations
6.
Szebeni, Attila, Katalin Szebeni, Timothy P. DiPeri, et al.. (2014). Shortened telomere length in white matter oligodendrocytes in major depression: potential role of oxidative stress. The International Journal of Neuropsychopharmacology. 17(10). 1579–1589. 87 indexed citations
7.
Ordway, Gregory A., Attila Szebeni, Michelle Chandley, et al.. (2011). Low gene expression of bone morphogenetic protein 7 in brainstem astrocytes in major depression. The International Journal of Neuropsychopharmacology. 15(7). 855–868. 23 indexed citations
8.
Brown, Russell W., et al.. (2011). Eszopiclone facilitation of the antidepressant efficacy of fluoxetine using a social defeat stress model. Pharmacology Biochemistry and Behavior. 99(4). 648–658. 10 indexed citations
9.
10.
Karolewicz, Beata, Katalin Szebeni, T. A. Gilmore, et al.. (2008). Elevated levels of NR2A and PSD-95 in the lateral amygdala in depression. The International Journal of Neuropsychopharmacology. 12(2). 143–143. 117 indexed citations
11.
Karolewicz, Beata, et al.. (2007). Glutamate signaling proteins and tyrosine hydroxylase in the locus coeruleus of alcoholics. Journal of Psychiatric Research. 42(5). 348–355. 10 indexed citations
12.
Zhu, He, et al.. (2006). Normal [3H]flunitrazepam binding to GABAA receptors in the locus coeruleus in major depression and suicide. Brain Research. 1125(1). 138–146. 16 indexed citations
13.
Karolewicz, Beata, Violetta Klimek, He Zhu, et al.. (2005). Effects of depression, cigarette smoking, and age on monoamine oxidase B in amygdaloid nuclei. Brain Research. 1043(1-2). 57–64. 19 indexed citations
14.
Karolewicz, Beata, Katalin Szebeni, Craig A. Stockmeier, et al.. (2004). Low nNOS protein in the locus coeruleus in major depression. Journal of Neurochemistry. 91(5). 1057–1066. 64 indexed citations
15.
Ordway, Gregory A. & Katalin Szebeni. (2004). Effect of repeated treatment with olanzapine or olanzapine plus fluoxetine on tyrosine hydroxylase in the rat locus coeruleus. The International Journal of Neuropsychopharmacology. 7(3). 321–327. 19 indexed citations
16.
Love, Jeffrey A., et al.. (2000). Role of Adrenergic Receptors in Veratridine-Stimulated Amylase Secretion from Rabbit Pancreatic Lobules. Pancreas. 20(2). 177–183. 7 indexed citations
17.
Love, Jeffrey A. & Katalin Szebeni. (1999). Morphology and Histochemistry of the Rabbit Pancreatic Innervation. Pancreas. 18(1). 53–64. 35 indexed citations
18.
Love, Jeffrey A. & Katalin Szebeni. (1999). Histochemistry and Electrophysiology of Cultured Adult Rabbit Pancreatic Neurons. Pancreas. 18(1). 65–74. 5 indexed citations
19.
Love, Jeffrey A., et al.. (1999). Veratridine-Stimulated Amylase Secretion from Rabbit Pancreatic Lobules. Pancreas. 19(3). 231–238. 7 indexed citations
20.
Love, Jeffrey A. & Katalin Szebeni. (1998). Histochemistry and electrophysiology of adult rabbit pancreatic neurons in primary culture. Gastroenterology. 114. A480–A480. 1 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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