Georges Ungar

1.1k citations
25 papers · 422 · h-index 11

Impact in

Papers in

Georges Ungar

23 papers receiving 337 citations

Peers

Georges Ungar
Comparison fields: 5 of 103
  • Immunology and Allergy 27
  • Cellular and Molecular Neuroscience 77
  • Cognitive Neuroscience 49
  • Genetics 25
  • Pharmacology 37
Replace Évelyne Rouer with:
Évelyne Rouer France
Anna Potempska United States
Taira Enomoto Japan
C.L. Kapoor United States
O. Hatase Japan
R. Thunberg Sweden
Yosef Kimhi Israel
R. L. Harris United States
Kunio Nakashima Japan
Hilde E. Hirsch United States
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Citations per field
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Citations per year

Countries citing papers authored by Georges Ungar

Since Specialization
Citations

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

Fields of papers citing papers by Georges Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Georges Ungar, 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 Georges Ungar Line = papers co-authored together Georges Ungar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Molecular mechanisms in memory and learning
197085
2 195743
3 195542
4 195336
5 195231
6 195127
7 196124
8 197423
9 197318
10 195117
11 195117
12 19708
13 19748
14
À la recherche de la mémoire
19768
15 19627
16 19727
17 19725
18 19634
19 19664
20 19763

About Georges Ungar

Georges Ungar is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Radiology, Nuclear Medicine and Imaging, Physiology and Dermatology, having authored 25 papers that have together received 422 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (3 papers), Visual and Cognitive Learning Processes (2 papers), Biochemical and Structural Characterization (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Blood properties and coagulation (2 papers), Neurobiology and Insect Physiology Research (2 papers), Photoreceptor and optogenetics research (2 papers) and Molecular Communication and Nanonetworks (2 papers). The work is most often cited by research in Immunology and Allergy (27 citations), Cellular and Molecular Neuroscience (77 citations), Cognitive Neuroscience (49 citations), Genetics (25 citations) and Pharmacology (37 citations). Georges Ungar has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Evelyn Damgaard, Stacy Psychoyos, Sidney Kobrin, H.G. Weinstein, Fred A. Kruger, Bruno W. Volk, Seymour L. Shapiro, Arne Wick and Robert E. Bolinger. Their work appears in journals such as The Journal of Experimental Medicine, American Journal of Physiology-Legacy Content, Die Naturwissenschaften, The Journal of General Physiology and Inflammation Research.

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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