Gábor Glatz

443 citations
9 papers · 327 · h-index 8

Impact in

  • Physiology top 5%
    • Calcium signaling and nucleotide metabolism
    • Lysosomal Storage Disorders Research
  • Cell Biology top 10%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease

Papers in

    • Melanoma and MAPK Pathways 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Ubiquitin and proteasome pathways 1
    • Autophagy in Disease and Therapy 4

Gábor Glatz

9 papers receiving 325 citations

Peers

Gábor Glatz
Comparison fields: 5 of 56
  • Physiology 59
  • Cell Biology 151
  • Epidemiology 132
  • Molecular Biology 132
  • Physiology 44
Replace R. Militello with:
R. Militello Argentina
Melissa Hoyer United States
Kristiane Søreng Norway
Jessica Huber Germany
Saori Nakano Japan
Smriti Parashar United States
François Le Guerroué United States
Helene Knævelsrud Norway
Yongqiang Deng United States
Michael J. Lang United States
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Citations per field
00.5×2.9×
R. Militello · 1×
Citations per year

Countries citing papers authored by Gábor Glatz

Since Specialization
Citations

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

Fields of papers citing papers by Gábor Glatz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2017109
2 201878
3 201331
4 201525
5 201425
6 202019
7 201819
8 201918
9 20243

About Gábor Glatz

Gábor Glatz is a scholar working on Molecular Biology, Epidemiology, Cell Biology, Physiology and Plant Science, having authored 9 papers that have together received 327 indexed citations. Recurring topics across this work include Cellular transport and secretion (4 papers), Autophagy in Disease and Therapy (4 papers), Lysosomal Storage Disorders Research (3 papers), Melanoma and MAPK Pathways (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Ubiquitin and proteasome pathways (1 paper), Enzyme Structure and Function (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Physiology (59 citations), Cell Biology (151 citations), Epidemiology (132 citations), Molecular Biology (132 citations) and Physiology (44 citations). Gábor Glatz has collaborated with scholars based in Hungary, Germany and Italy. Frequent co-authors include Gábor Juhász, Szabolcs Takáts, Attila Boda, Krisztina Hegedűs, Attila Reményi, Péter Lőrincz, Tibor Kovács, Anita Alexa, Gábor V. Horváth and Gergő Gógl. Their work appears in journals such as FEBS Journal, Biochemistry, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and The EMBO Journal.

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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