Péter Deák

2.9k citations
53 papers · 2.3k · h-index 24

Impact in

    • Microtubule and mitosis dynamics
    • Endoplasmic Reticulum Stress and Disease
    • Cellular transport and secretion
  • Aging top 2%

Papers in

    • Ubiquitin and proteasome pathways 12
    • DNA Repair Mechanisms 5
    • Microtubule and mitosis dynamics 10
    • Endoplasmic Reticulum Stress and Disease 8

Péter Deák

51 papers receiving 2.3k citations

Peers

Péter Deák
Comparison fields: 5 of 89
  • Cell Biology 1.1k
  • Aging 91
  • Molecular Biology 1.7k
  • Cellular and Molecular Neuroscience 304
  • Insect Science 144
Replace Rita Sinka with:
Rita Sinka Hungary
Soon Ji Yoo South Korea
Richelle Sopko United States
Eli Arama Israel
Richard G. Gardner United States
Yves Roméo France
Elaine F. Corbett Canada
Matthew Slattery United States
Young Sik Lee South Korea
Anthony M. Brumby Australia
Péter Deák relative to Rita Sinka Hungary Rita Sinka's profile →
Citations per field
00.5×1.5×1.9×
Rita Sinka · 1×
Citations per year

Countries citing papers authored by Péter Deák

Since Specialization
Citations

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

Fields of papers citing papers by Péter Deák

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995188
2 1996174
3 2003160
4 1999157
5 2001147
6 1999139
7 1997138
8 2007112
9 2000111
10 200192
11 200877
12 199775
13 201766
14 199765
15 200360
16 202050
17 199947
18 200046
19 200430
20 199328

About Péter Deák

Péter Deák is a scholar working on Molecular Biology, Cell Biology, Genetics, Plant Science and Cellular and Molecular Neuroscience, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), Microtubule and mitosis dynamics (10 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Chromosomal and Genetic Variations (7 papers), Neurobiology and Insect Physiology Research (6 papers), Genetics and Neurodevelopmental Disorders (6 papers), DNA Repair Mechanisms (5 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Cell Biology (1.1k citations), Aging (91 citations), Molecular Biology (1.7k citations), Cellular and Molecular Neuroscience (304 citations) and Insect Science (144 citations). Péter Deák has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Dieter H. Wolf, David M. Glover, Linda M. Hall, Hiroyuki Ohkura, Christof Taxis, Reiner Hitt, Guoping Feng, Péter Maróy, Maninder Chopra and Richard K. Plemper. Their work appears in journals such as Journal of Cell Science, Genetics, The Journal of Cell Biology, The International Journal of Developmental Biology and Current Biology.

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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