Imre Cserpán

606 citations
22 papers · 459 · h-index 14

Impact in

    • CRISPR and Genetic Engineering
    • Genomics and Chromatin Dynamics
    • RNA Research and Splicing
    • RNA Interference and Gene Delivery
    • Advanced biosensing and bioanalysis techniques
    • Animal Genetics and Reproduction
    • Virus-based gene therapy research

Papers in

    • RNA and protein synthesis mechanisms 5
    • Genomics and Chromatin Dynamics 5
    • CRISPR and Genetic Engineering 5
    • Pluripotent Stem Cells Research 2
    • RNA Research and Splicing 2
    • Chromosomal and Genetic Variations 9

Imre Cserpán

20 papers receiving 432 citations

Peers

Imre Cserpán
Comparison fields: 5 of 60
  • Molecular Biology 387
  • Genetics 152
  • Plant Science 163
  • Aging 5
  • Biochemistry 14
Replace R R Roseman with:
R R Roseman United States
Gary R. Daniels United States
Donna E. Crone United States
Vladic Mogila Russia
Mark S. Caddle United States
Rodger B. Voelker United States
Maksim Erokhin Russia
Ralf M. Luche United States
Andrés M. Cardozo Gizzi Argentina
Imre Cserpán relative to R R Roseman United States R R Roseman's profile →
Citations per field
00.5×1.5×2.3×
R R Roseman · 1×
Citations per year

Countries citing papers authored by Imre Cserpán

Since Specialization
Citations

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

Fields of papers citing papers by Imre Cserpán

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Imre Cserpán, 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 Imre Cserpán Line = papers co-authored together Imre Cserpán links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200279
2 199144
3 200044
4 199643
5 198331
6 199628
7 200323
8 199118
9 199418
10 199718
11 199518
12 199017
13 199916
14 198815
15 199513
16 200812
17 200411
18 20026
19 20042
20 20142

About Imre Cserpán

Imre Cserpán is a scholar working on Molecular Biology, Plant Science, Genetics, Cellular and Molecular Neuroscience and Cell Biology, having authored 22 papers that have together received 459 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (9 papers), RNA and protein synthesis mechanisms (5 papers), Genomics and Chromatin Dynamics (5 papers), CRISPR and Genetic Engineering (5 papers), Pluripotent Stem Cells Research (2 papers), Genomic variations and chromosomal abnormalities (2 papers), RNA Research and Splicing (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Molecular Biology (387 citations), Genetics (152 citations), Plant Science (163 citations), Aging (5 citations) and Biochemistry (14 citations). Imre Cserpán has collaborated with scholars based in Hungary, Sweden and United States. Frequent co-authors include Andor Udvardy, Gyula Hadlaczky, Mária Vas, Károly Fátyol, Katalin Fodor, Róbert L. Katona, Anna Szeles, Gábor Pápai, Imre Boros and Vilmos Tubak. Their work appears in journals such as Chromosome Research, Nucleic Acids Research, Biochemical and Biophysical Research Communications, European Journal of Biochemistry and Proceedings of the National Academy of Sciences.

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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