Dániel Ungár

2.8k citations
40 papers · 2.0k indexed · 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

    • Cellular transport and secretion 24
    • Endoplasmic Reticulum Stress and Disease 7
    • Lysosomal Storage Disorders Research 6
    • Calcium signaling and nucleotide metabolism 5

Dániel Ungár

38 papers receiving 2.0k citations

Peers

Dániel Ungár
Comparison fields: 5 of 96
  • Cell Biology 1.3k
  • Physiology 210
  • Molecular Biology 1.5k
  • Physiology 359
  • Aging 18
Replace Elizabeth Conibear with:
Elizabeth Conibear Canada
Jamie White United States
Jack Rohrer Switzerland
Florence Jollivet France
Stephen K. Dove United Kingdom
Norman Hui United Kingdom
Daniel Kümmel Germany
Eva M. Wenzel Norway
Marilyn Leonard United States
Elizabeth Smythe United Kingdom
Dániel Ungár relative to Elizabeth Conibear Canada Elizabeth Conibear's profile →
Citations per field
00.5×1.5×
Elizabeth Conibear · 1×
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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003229
2 2002222
3 2004113
4 2006110
5 2007105
6 200795
7 201390
8 201081
9 201375
10 201673
11 200572
12 201267
13 201264
14 200958
15 200958
16 201454
17 201649
18 200746
19 201643
20 201938

About Dániel Ungár

Dániel Ungár is a scholar working on Cell Biology, Physiology, Molecular Biology, Immunology and Physiology, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cellular transport and secretion (24 papers), Glycosylation and Glycoproteins Research (16 papers), Endoplasmic Reticulum Stress and Disease (7 papers), Lipid Membrane Structure and Behavior (6 papers), Lysosomal Storage Disorders Research (6 papers), Calcium signaling and nucleotide metabolism (5 papers), Galectins and Cancer Biology (4 papers) and Carbohydrate Chemistry and Synthesis (4 papers). The work is most often cited by research in Cell Biology (1.3k citations), Physiology (210 citations), Molecular Biology (1.5k citations), Physiology (359 citations) and Aging (18 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 John E. Heuser. Their work appears in journals such as Frontiers in Cell and Developmental Biology, Human Molecular Genetics, Journal of Biological Chemistry, Nature Communications and Journal of Cell Science.

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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