Ivan Psakhye

1.8k citations
12 papers · 1.4k · h-index 11

Impact in

    • Ubiquitin and proteasome pathways
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Ubiquitin and proteasome pathways 8
    • DNA Repair Mechanisms 4
    • Advanced biosensing and bioanalysis techniques 2
    • Genomics and Chromatin Dynamics 2
    • RNA Research and Splicing 2
    • Endoplasmic Reticulum Stress and Disease 4

Ivan Psakhye

12 papers receiving 1.4k citations

Peers

Ivan Psakhye
Comparison fields: 5 of 88
  • Molecular Biology 1.0k
  • Cell Biology 243
  • Biomaterials 192
  • Aging 16
  • Parasitology 56
Replace Debaditya Mukhopadhyay with:
Debaditya Mukhopadhyay United States
Richard G. Yau United States
Prisca Boisguérin France
Jong Bae Park South Korea
Jet Phey Lim Australia
Taek-Chin Cheong United States
Ryan D. Baldridge United States
Chang G. Peng United States
Yoav Altman United States
Siddhartha S. Jana India
Ivan Psakhye relative to Debaditya Mukhopadhyay United States Debaditya Mukhopadhyay's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ivan Psakhye

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Psakhye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2012389
2 2011321
3 2014274
4 2013184
5 201660
6 201452
7 201937
8 202121
9 201720
10 202117
11 201616
12 202310

About Ivan Psakhye

Ivan Psakhye is a scholar working on Molecular Biology, Cell Biology, Oncology, Epidemiology and Biomaterials, having authored 12 papers that have together received 1.4k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers), DNA Repair Mechanisms (4 papers), Cancer-related Molecular Pathways (3 papers), Advanced biosensing and bioanalysis techniques (2 papers), Genomics and Chromatin Dynamics (2 papers), RNA Research and Splicing (2 papers) and interferon and immune responses (1 paper). The work is most often cited by research in Molecular Biology (1.0k citations), Cell Biology (243 citations), Biomaterials (192 citations), Aging (16 citations) and Parasitology (56 citations). Ivan Psakhye has collaborated with scholars based in Italy, Germany and Japan. Frequent co-authors include Stefan Jentsch, Kefeng Lu, Dana Branzei, Olga Vasiljeva, А. А. Магаева, Georgy Mikhaylov, Liane Babes, Urša Mikac, Robert Zeiser and Thomas Reinheckel. Their work appears in journals such as Cell, Genes & Development, The EMBO Journal, Current Opinion in Cell Biology and Nature Structural & Molecular 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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