Csaba Cserép

3.4k citations
27 papers · 1.4k · 1 hit paper · h-index 19

Impact in

Papers in

Csaba Cserép

25 papers receiving 1.4k citations

Csaba Cserép's Hit Papers

Formation of a protein corona on the surface of extracellular vesicles in blood plasma 2021 · 328 citations
3280+1+3Years since publication100200300

Peers

Csaba Cserép
Comparison fields: 5 of 95
  • Neurology 311
  • Cellular and Molecular Neuroscience 578
  • Developmental Neuroscience 91
  • Biological Psychiatry 49
  • Cognitive Neuroscience 268
Replace Flavia Antonucci with:
Flavia Antonucci Italy
Lydie Morel United States
Mario Buffelli Italy
Natalia V. Gounko Belgium
Maria Pennuto Italy
Xiaoting Wang China
Michael G. Garelick United States
Huifang Lou China
Mei-Fang Xiao United States
Csaba Cserép relative to Flavia Antonucci Italy Flavia Antonucci's profile →
Citations per field
00.5×2.9×
Flavia Antonucci · 1×
Citations per year

Countries citing papers authored by Csaba Cserép

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Cserép

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Csaba Cserép, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Csaba Cserép Line = papers co-authored together Csaba Cserép links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Formation of a protein corona on the surface of extracellular vesicles in blood plasma
Hit paper breakdown →
2021328
2 2020177
3 2005130
4 2018115
5 201877
6 201876
7 201169
8 200750
9 201648
10 200546
11 202243
12 201442
13 202228
14 201225
15 202023
16 201822
17 201121
18 201619
19 201718
20 202316

About Csaba Cserép

Csaba Cserép is a scholar working on Cellular and Molecular Neuroscience, Neurology, Molecular Biology, Cognitive Neuroscience and Pharmacology, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (16 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers), Photoreceptor and optogenetics research (6 papers), Receptor Mechanisms and Signaling (4 papers), Adenosine and Purinergic Signaling (3 papers), Extracellular vesicles in disease (3 papers), Immune cells in cancer (3 papers) and Memory and Neural Mechanisms (3 papers). The work is most often cited by research in Neurology (311 citations), Cellular and Molecular Neuroscience (578 citations), Developmental Neuroscience (91 citations), Biological Psychiatry (49 citations) and Cognitive Neuroscience (268 citations). Csaba Cserép has collaborated with scholars based in Hungary, United States and Japan. Frequent co-authors include Ádám Dénes, Balázs Pósfai, Gábor Nyíri, Tamás F. Freund, Eszter Szabadits, András Szőnyi, Ken Mackie, Anett D. Schwarcz, Barbara Orsolits and Masahiko Watanabe. Their work appears in journals such as Nature Communications, Journal of Neuroscience, Glia, PLoS ONE and Neuroscience.

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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