Peter Koson

1.1k total citations
8 papers, 763 citations indexed

About

Peter Koson is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Peter Koson has authored 8 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Physiology, 4 papers in Molecular Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Peter Koson's work include Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Prion Diseases and Protein Misfolding (2 papers). Peter Koson is often cited by papers focused on Alzheimer's disease research and treatments (5 papers), Neuroscience and Neuropharmacology Research (3 papers) and Prion Diseases and Protein Misfolding (2 papers). Peter Koson collaborates with scholars based in Slovakia, Austria and Germany. Peter Koson's co-authors include Norbert Žilka, Michal Novák, Peter Filipčík, Monika Žilková, Eva Kontseková, Rostislav Škrabana, Ľubica Fialová, Rainer Ehling, Jelena Drulović and Andreas Lutterotti and has published in prestigious journals such as Brain Research, FEBS Letters and European Journal of Neuroscience.

In The Last Decade

Peter Koson

8 papers receiving 744 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peter Koson Slovakia	6	353	318	302	204	162	8	763
Aaron Carlson United States	8	430 1.2×	364 1.1×	44 0.1×	219 1.1×	262 1.6×	30	802
S Shoji Japan	14	219 0.6×	269 0.8×	47 0.2×	391 1.9×	477 2.9×	36	769
Kathryn A. Swanson United States	9	145 0.4×	92 0.3×	95 0.3×	102 0.5×	137 0.8×	12	458
J.J. Martin Belgium	18	372 1.1×	267 0.8×	26 0.1×	232 1.1×	887 5.5×	45	1.3k
Lucie Delattre France	7	423 1.2×	74 0.2×	24 0.1×	160 0.8×	365 2.3×	7	704
Jaegwon Chung United States	13	153 0.4×	262 0.8×	22 0.1×	144 0.7×	205 1.3×	17	709
Kyoko Iinuma Japan	11	152 0.4×	104 0.3×	30 0.1×	75 0.4×	123 0.8×	24	374
Jennifer Jockel‐Balsarotti United States	5	362 1.0×	158 0.5×	15 0.0×	121 0.6×	201 1.2×	9	714
H. Backhovens Belgium	15	678 1.9×	189 0.6×	25 0.1×	177 0.9×	608 3.8×	27	1.1k
Kang-Woo Lee South Korea	11	139 0.4×	227 0.7×	21 0.1×	118 0.6×	274 1.7×	12	598

Countries citing papers authored by Peter Koson

Since Specialization

Citations

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

Fields of papers citing papers by Peter Koson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Koson

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Koson. A scholar is included among the top collaborators of Peter Koson 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 Peter Koson. Peter Koson 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

1.

Cente, Martin, et al.. (2018). miRNAs as biofluid markers for diagnostics of Alzheimer’s disease: recent status and perspectives. General Physiology and Biophysics. 37(5). 495–514. 3 indexed citations

2.

Koson, Peter, et al.. (2012). P2‐303: Different sensitivity of neuropsychological screening tests ACE‐R and MMSE in patients with MCI and dementia. Alzheimer s & Dementia. 8(4S_Part_10). 1 indexed citations

3.

Filipčík, Peter, Norbert Žilka, Ondrej Bugos, et al.. (2011). First transgenic rat model developing progressive cortical neurofibrillary tangles. Neurobiology of Aging. 33(7). 1448–1456. 71 indexed citations

4.

Mader, Simone, Viktoria Gredler, Kathrin Schanda, et al.. (2011). Complement activating antibodies to myelin oligodendrocyte glycoprotein in neuromyelitis optica and related disorders. Journal of Neuroinflammation. 8(1). 184–184. 347 indexed citations

5.

Koson, Peter, Norbert Žilka, Andrej Kováč, et al.. (2008). Truncated tau expression levels determine life span of a rat model of tauopathy without causing neuronal loss or correlating with terminal neurofibrillary tangle load. European Journal of Neuroscience. 28(2). 239–246. 64 indexed citations

6.

Žilka, Norbert, et al.. (2006). Neurodegeneration caused by expression of human truncated tau leads to progressive neurobehavioural impairment in transgenic rats. Brain Research. 1130(1). 206–213. 58 indexed citations

7.

Žilka, Norbert, Peter Filipčík, Peter Koson, et al.. (2006). Truncated tau from sporadic Alzheimer's disease suffices to drive neurofibrillary degeneration in vivo. FEBS Letters. 580(15). 3582–3588. 200 indexed citations

8.

Žilková, Monika, Peter Koson, & Norbert Žilka. (2006). The hunt for dying neurons: insight into the neuronal loss in Alzheimer's disease.. PubMed. 107(9-10). 366–73. 19 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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