Csaba Cserép

3.2k citations
26 papers · 1.3k indexed · 1 hit paper · h-index 18

Impact in

Papers in

Csaba Cserép

25 papers receiving 1.3k citations

Hit Papers

Formation of a protein corona on the surface of extracellular vesicles in blood plasma 2021 · 289 citations
2890+1+3Years since publication50100150200250

Peers

Csaba Cserép
Comparison fields: 5 of 96
  • Neurology 299
  • Cellular and Molecular Neuroscience 569
  • Biological Psychiatry 54
  • Developmental Neuroscience 87
  • Cognitive Neuroscience 255
Replace Martín A. Bruno with:
Martín A. Bruno Canada
Lydie Morel United States
Mario Buffelli Italy
Mei-Fang Xiao United States
Xiaoting Wang China
François S. Roman France
Hiroyuki Katagiri Japan
Olga Touloumi Greece
Ikuko Mizuta Japan
Csaba Cserép relative to Martín A. Bruno Canada Martín A. Bruno's profile →
Citations per field
00.5×
Martín A. Bruno · 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 26 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 →
2021289
2 2020164
3 2005125
4 2018108
5 201873
6 201873
7 201165
8 200747
9 200546
10 201644
11 201439
12 202233
13 202226
14 201225
15 202023
16 201121
17 201820
18 201717
19 201616
20 202314

About Csaba Cserép

Csaba Cserép is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Neurology, Cognitive Neuroscience and Physiology, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (17 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Photoreceptor and optogenetics research (6 papers), Adenosine and Purinergic Signaling (4 papers), Receptor Mechanisms and Signaling (4 papers), Memory and Neural Mechanisms (3 papers), Extracellular vesicles in disease (3 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Neurology (299 citations), Cellular and Molecular Neuroscience (569 citations), Biological Psychiatry (54 citations), Developmental Neuroscience (87 citations) and Cognitive Neuroscience (255 citations). Csaba Cserép has collaborated with scholars based in Hungary, Japan and United States. 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 Journal of Neuroscience, Nature Communications, Neuroscience, eLife and PLoS ONE.

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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