Dániel Ungár

2.8k total citations
40 papers, 2.0k citations indexed

About

Dániel Ungár is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Dániel Ungár has authored 40 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 28 papers in Cell Biology and 6 papers in Physiology. Recurrent topics in Dániel Ungár's work include Cellular transport and secretion (24 papers), Glycosylation and Glycoproteins Research (16 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Dániel Ungár is often cited by papers focused on Cellular transport and secretion (24 papers), Glycosylation and Glycoproteins Research (16 papers) and Endoplasmic Reticulum Stress and Disease (7 papers). Dániel Ungár collaborates with scholars based in United Kingdom, United States and Germany. Dániel Ungár's 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 M. Gerard Waters and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Dániel Ungár

38 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dániel Ungár United Kingdom 24 1.5k 1.3k 359 210 170 40 2.0k
Jamie White United States 13 1.5k 1.0× 1.1k 0.9× 234 0.7× 87 0.4× 177 1.0× 17 2.1k
Jennifer Lippincott‐Schwartz United States 8 1.3k 0.8× 1.1k 0.9× 183 0.5× 129 0.6× 199 1.2× 9 2.0k
Jack Rohrer Switzerland 26 1.6k 1.0× 1.2k 0.9× 386 1.1× 168 0.8× 80 0.5× 45 2.4k
Antonella Di Campli Italy 14 1.4k 0.9× 1.3k 1.0× 277 0.8× 246 1.2× 213 1.3× 17 2.0k
Elizabeth Conibear Canada 29 2.0k 1.3× 1.7k 1.4× 325 0.9× 201 1.0× 106 0.6× 50 2.8k
Norman Hui United Kingdom 7 1.1k 0.8× 1.1k 0.9× 194 0.5× 110 0.5× 180 1.1× 8 1.6k
Florence Jollivet France 16 1.4k 0.9× 1.2k 0.9× 216 0.6× 137 0.7× 138 0.8× 21 2.0k
Anna Godi Italy 11 1.6k 1.1× 1.5k 1.2× 324 0.9× 281 1.3× 227 1.3× 11 2.2k
Felix Kappeler Switzerland 12 1.1k 0.7× 1.1k 0.8× 245 0.7× 62 0.3× 128 0.8× 12 1.7k
Jennifer M. Kavran United States 17 1.7k 1.1× 698 0.5× 130 0.4× 55 0.3× 106 0.6× 29 2.1k

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-authorship network of co-authors of Dániel Ungár

This figure shows the co-authorship network connecting the top 25 collaborators of Dániel Ungár. A scholar is included among the top collaborators of Dániel Ungár based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dániel Ungár. Dániel Ungár is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Droop, Alastair, Sandy MacDonald, Andrew Leech, et al.. (2025). Killer toxin K28 resistance in yeast relies on COG complex-mediated trafficking of the defence factor Ktd1. Journal of Cell Science. 138(14).
2.
Williamson, Daniel J., Peter Fisher, Victoria J. Miller, et al.. (2024). Sortase-Modified Cholera Toxoids Show Specific Golgi Localization. Toxins. 16(4). 194–194. 1 indexed citations
3.
Sharma, Rajat, et al.. (2023). Functional magnetic nanoparticles for protein delivery applications: understanding protein–nanoparticle interactions. Nanoscale. 16(5). 2466–2477. 2 indexed citations
4.
Wood, A. Jamie, et al.. (2021). Computational Modeling of Glycan Processing in the Golgi for Investigating Changes in the Arrangements of Biosynthetic Enzymes. Methods in molecular biology. 2370. 209–222. 1 indexed citations
5.
Bagdonas, Haroldas, Dániel Ungár, & Jon Agirre. (2020). Leveraging glycomics data in glycoprotein 3D structure validation with Privateer. Beilstein Journal of Organic Chemistry. 16. 2523–2533. 12 indexed citations
6.
Fisher, Peter, et al.. (2019). Modeling Glycan Processing Reveals Golgi-Enzyme Homeostasis upon Trafficking Defects and Cellular Differentiation. Cell Reports. 27(4). 1231–1243.e6. 20 indexed citations
7.
Fisher, Peter, Jane Thomas‐Oates, A. Jamie Wood, & Dániel Ungár. (2019). The N-Glycosylation Processing Potential of the Mammalian Golgi Apparatus. Frontiers in Cell and Developmental Biology. 7. 157–157. 38 indexed citations
8.
Ha, Jun Yong, Hui‐Ting Chou, Dániel Ungár, et al.. (2016). Molecular architecture of the complete COG tethering complex. Nature Structural & Molecular Biology. 23(8). 758–760. 35 indexed citations
9.
Blackburn, Jessica B., Irina D. Pokrovskaya, Peter Fisher, Dániel Ungár, & Vladimir Lupashin. (2016). COG Complex Complexities: Detailed Characterization of a Complete Set of HEK293T Cells Lacking Individual COG Subunits. Frontiers in Cell and Developmental Biology. 4. 23–23. 49 indexed citations
10.
Fisher, Peter & Dániel Ungár. (2016). Bridging the Gap between Glycosylation and Vesicle Traffic. Frontiers in Cell and Developmental Biology. 4. 15–15. 43 indexed citations
11.
Willett, Rose, Tetyana Kudlyk, Irina D. Pokrovskaya, et al.. (2013). COG complexes form spatial landmarks for distinct SNARE complexes. Nature Communications. 4(1). 1553–1553. 75 indexed citations
12.
Wilson, Katherine, et al.. (2013). Dissecting Functions of the Conserved Oligomeric Golgi Tethering Complex Using a Cell‐Free Assay. Traffic. 15(1). 12–21. 10 indexed citations
13.
Miller, Victoria J. & Dániel Ungár. (2012). Re‘COG’nition at the Golgi. Traffic. 13(7). 891–897. 67 indexed citations
14.
Miller, Victoria J., Prateek Sharma, Tetyana Kudlyk, et al.. (2012). Molecular Insights into Vesicle Tethering at the Golgi by the Conserved Oligomeric Golgi (COG) Complex and the Golgin TATA Element Modulatory Factor (TMF). Journal of Biological Chemistry. 288(6). 4229–4240. 64 indexed citations
15.
Ungár, Dániel, et al.. (2011). Retrograde vesicle transport in the Golgi. PROTOPLASMA. 249(4). 943–955. 31 indexed citations
16.
Ungár, Dániel. (2009). Golgi linked protein glycosylation and associated diseases. Seminars in Cell and Developmental Biology. 20(7). 762–769. 58 indexed citations
17.
Chen, Xiaocheng, Brian C. Richardson, Dániel Ungár, et al.. (2007). Structural Analysis of Conserved Oligomeric Golgi Complex Subunit 2. Journal of Biological Chemistry. 282(32). 23418–23426. 34 indexed citations
18.
Ng, Bobby G., Christian Kranz, Eveline Hagebeuk, et al.. (2007). Molecular and clinical characterization of a Moroccan Cog7 deficient patient. Molecular Genetics and Metabolism. 91(2). 201–204. 46 indexed citations
19.
Ungár, Dániel, Toshihiko Oka, Monty Krieger, & Frederick M. Hughson. (2006). Retrograde transport on the COG railway. Trends in Cell Biology. 16(2). 113–120. 110 indexed citations
20.
Oka, Toshihiko, Eliza Vasile, Marsha Penman, et al.. (2005). Genetic Analysis of the Subunit Organization and Function of the Conserved Oligomeric Golgi (COG) Complex. Journal of Biological Chemistry. 280(38). 32736–32745. 72 indexed citations

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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