Kinga Bercsényi

725 total citations
8 papers, 460 citations indexed

About

Kinga Bercsényi is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Neurology. According to data from OpenAlex, Kinga Bercsényi has authored 8 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Kinga Bercsényi's work include Botulinum Toxin and Related Neurological Disorders (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Kinga Bercsényi is often cited by papers focused on Botulinum Toxin and Related Neurological Disorders (3 papers), Axon Guidance and Neuronal Signaling (3 papers) and Wnt/β-catenin signaling in development and cancer (2 papers). Kinga Bercsényi collaborates with scholars based in United Kingdom, Hungary and Italy. Kinga Bercsényi's co-authors include Giampietro Schiavo, Òscar Marín, Varun Sreenivasan, Fong Kuan Wong, Francesco Giribaldi, Marian Fernández-Otero, Guillermo Menéndez, Ornella Rossetto, Maria Manich and Laura Restani and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and The Journal of Comparative Neurology.

In The Last Decade

Kinga Bercsényi

8 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kinga Bercsényi United Kingdom	8	272	187	148	89	64	8	460
Mohtashem Samsam United States	8	214 0.8×	90 0.5×	212 1.4×	69 0.8×	43 0.7×	14	515
Francesco Giribaldi Italy	7	217 0.8×	262 1.4×	146 1.0×	38 0.4×	56 0.9×	7	484
Scott Vermilyea United States	11	262 1.0×	133 0.7×	373 2.5×	113 1.3×	34 0.5×	19	564
Yuki Oichi Japan	5	247 0.9×	49 0.3×	146 1.0×	51 0.6×	99 1.5×	15	407
Sara E. Gombash United States	15	292 1.1×	339 1.8×	175 1.2×	29 0.3×	38 0.6×	18	645
J̇onas Lindeberg Sweden	8	143 0.5×	198 1.1×	165 1.1×	30 0.3×	49 0.8×	9	455
Jens Leander Johansen Denmark	14	327 1.2×	85 0.5×	338 2.3×	122 1.4×	39 0.6×	17	606
Ji‐Yoen Kim United States	9	153 0.6×	85 0.5×	288 1.9×	37 0.4×	42 0.7×	9	508
Eleanor Grant United Kingdom	8	207 0.8×	118 0.6×	110 0.7×	66 0.7×	142 2.2×	8	412
Nicolas Mérienne France	11	309 1.1×	60 0.3×	337 2.3×	73 0.8×	107 1.7×	12	593

Countries citing papers authored by Kinga Bercsényi

Since Specialization

Citations

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

Fields of papers citing papers by Kinga Bercsényi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kinga Bercsényi

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

Sreenivasan, Varun, David Exposito-Alonso, Kinga Bercsényi, et al.. (2022). Input-specific control of interneuron numbers in nascent striatal networks. Proceedings of the National Academy of Sciences. 119(20). e2118430119–e2118430119. 8 indexed citations

László, Zsófia I., Kinga Bercsényi, Mátyás Mayer, et al.. (2019). N-cadherin (Cdh2) Maintains Migration and Postmitotic Survival of Cortical Interneuron Precursors in a Cell-Type-Specific Manner. Cerebral Cortex. 30(3). 1318–1329. 8 indexed citations

Wong, Fong Kuan, et al.. (2018). Pyramidal cell regulation of interneuron survival sculpts cortical networks. Nature. 557(7707). 668–673. 175 indexed citations

Bercsényi, Kinga, J. Barney Bryson, Paola Caccin, et al.. (2014). Tetanus toxin entry. Nidogens are therapeutic targets for the prevention of tetanus.. PubMed. 346(6213). 1118–23. 54 indexed citations

Bercsényi, Kinga, Francesco Giribaldi, & Giampietro Schiavo. (2012). The Elusive Compass of Clostridial Neurotoxins: Deciding When and Where to Go?. Current topics in microbiology and immunology. 364. 91–113. 35 indexed citations

Restani, Laura, Francesco Giribaldi, Maria Manich, et al.. (2012). Botulinum Neurotoxins A and E Undergo Retrograde Axonal Transport in Primary Motor Neurons. PLoS Pathogens. 8(12). e1003087–e1003087. 142 indexed citations

Mayer, Mátyás, et al.. (2011). Comparative analysis of type II classic cadherin mRNA distribution patterns in the developing and adult mouse somatosensory cortex and hippocampus suggests significant functional redundancy. The Journal of Comparative Neurology. 520(7). 1387–1405. 18 indexed citations

Mayer, Mátyás, et al.. (2010). Expression of two type II cadherins, Cdh12 and Cdh22 in the developing and adult mouse brain. Gene Expression Patterns. 10(7-8). 351–360. 20 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.

Explore authors with similar magnitude of impact