Berta Ungar

859 citations
24 papers · 736 · h-index 13

Impact in

Papers in

    • Helicobacter pylori-related gastroenterology studies 4
    • Eosinophilic Esophagitis 2
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2

Berta Ungar

23 papers receiving 583 citations

Peers

Berta Ungar
Comparison fields: 5 of 78
  • Gastroenterology 130
  • Hepatology 67
  • Endocrinology, Diabetes and Metabolism 120
  • Surgery 284
  • Immunology 137
Replace A Elewaut with:
A Elewaut Belgium
Peter M. Shimkin United States
Lorenzo Alviggi Italy
William C. Watson United States
K. Yoshioka United Kingdom
Atsushi Sugitani Japan
P Deyhle Switzerland
Fabio Presotto Italy
K Hamaguchi Japan
A J Fairfax United Kingdom
Berta Ungar relative to A Elewaut Belgium A Elewaut's profile →
Citations per field
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Citations per year

Countries citing papers authored by Berta Ungar

Since Specialization
Citations

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

Fields of papers citing papers by Berta Ungar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Berta 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 Berta Ungar Line = papers co-authored together Berta Ungar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1969180
2 1968109
3 197167
4 196462
5 198352
6 196748
7 196739
8
Prednisolone and gastric atrophy.
196829
9 198524
10 196723
11 196719
12 196718
13 196018
14 196811
15 197411
16 19687
17 19766
18 19713
19 19653
20 19692

About Berta Ungar

Berta Ungar is a scholar working on Surgery, Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Gastroenterology, having authored 24 papers that have together received 736 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (4 papers), Porphyrin Metabolism and Disorders (3 papers), Immune Cell Function and Interaction (3 papers), Diabetes and associated disorders (2 papers), T-cell and B-cell Immunology (2 papers), Blood groups and transfusion (2 papers), Celiac Disease Research and Management (2 papers) and Eosinophilic Esophagitis (2 papers). The work is most often cited by research in Gastroenterology (130 citations), Hepatology (67 citations), Endocrinology, Diabetes and Metabolism (120 citations), Surgery (284 citations) and Immunology (137 citations). Berta Ungar has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include Senga Whittingham, IanR. Mackay, John D. Mathews, F. I. R. Martin, A. E. Stocks, H J De Aizpurua, Ban‐Hock Toh, S. Weiden, I. R. Mackay and David Cowling. Their work appears in journals such as The Lancet, The Medical Journal of Australia, New England Journal of Medicine, Clinical Chemistry and British Journal of Haematology.

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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