Dániel Ungár

2.8k citations
41 papers · 2.1k · h-index 24

Impact in

  • Cell Biology top 0.5%
    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 1%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism

Papers in

    • Glycosylation and Glycoproteins Research 16
    • Lipid Membrane Structure and Behavior 6
    • Cellular transport and secretion 25
    • Endoplasmic Reticulum Stress and Disease 8

Dániel Ungár

39 papers receiving 2.1k citations

Peers

Dániel Ungár
Comparison fields: 5 of 97
  • Cell Biology 1.3k
  • Physiology 218
  • Molecular Biology 1.5k
  • Physiology 355
  • Aging 17
Replace Jack Rohrer with:
Jack Rohrer Switzerland
Elizabeth Conibear Canada
Jeanne Matteson United States
Stephen K. Dove United Kingdom
Anna Godi Italy
Norman Hui United Kingdom
Alison K. Gillingham United Kingdom
Florence Jollivet France
Antonella Di Campli Italy
Conor P. Horgan Ireland
Dániel Ungár relative to Jack Rohrer Switzerland Jack Rohrer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Dániel Ungár

Since Specialization
Citations

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

Fields of papers citing papers by Dániel Ungár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003245
2 2002238
3 2004117
4 2006115
5 2007109
6 2007104
7 201393
8 201086
9 201678
10 201376
11 200576
12 201268
13 201267
14 200961
15 200960
16 201454
17 201650
18 200747
19 201645
20 201939

About Dániel Ungár

Dániel Ungár is a scholar working on Molecular Biology, Cell Biology, Physiology, Physiology and Organic Chemistry, having authored 41 papers that have together received 2.1k indexed citations. Recurring topics across this work include Cellular transport and secretion (25 papers), Glycosylation and Glycoproteins Research (16 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Lipid Membrane Structure and Behavior (6 papers), Lysosomal Storage Disorders Research (6 papers), Calcium signaling and nucleotide metabolism (5 papers), Carbohydrate Chemistry and Synthesis (4 papers) and Galectins and Cancer Biology (3 papers). The work is most often cited by research in Cell Biology (1.3k citations), Physiology (218 citations), Molecular Biology (1.5k citations), Physiology (355 citations) and Aging (17 citations). Dániel Ungár has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Frederick M. Hughson, Vladimir Lupashin, Monty Krieger, Toshihiko Oka, Peter Fisher, Rose Willett, Victoria J. Miller, Eliza Vasile, Jane Thomas‐Oates and Jon E. Chatterton. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Human Molecular Genetics, Journal of Biological Chemistry, Journal of Cell Science and Traffic.

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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