Berta Ungar

858 citations
24 papers · 640 · h-index 13

Impact in

Papers in

    • Helicobacter pylori-related gastroenterology studies 4
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Atherosclerosis and Cardiovascular Diseases 2

Berta Ungar

22 papers receiving 527 citations

Peers

Berta Ungar
Comparison fields: 5 of 78
  • Gastroenterology 122
  • Hepatology 59
  • Endocrinology, Diabetes and Metabolism 116
  • Immunology 124
  • Surgery 258
Replace K. G. Couchman with:
K. G. Couchman New Zealand
Masafumi Nomura Japan
G.F. Nelis Netherlands
K. Yoshioka United Kingdom
A J Fairfax United Kingdom
A W Bullen United Kingdom
S. H. Davies United Kingdom
Patrick Chamouard France
Jenny Amaya‐Amaya Colombia
D McCloskey United Kingdom
Berta Ungar relative to K. G. Couchman New Zealand K. G. Couchman's profile →
Citations per field
00.5×
K. G. Couchman · 1×
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 24 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 1969153
2 196899
3 196457
4 197157
5 196745
6 198342
7 196733
8
Prednisolone and gastric atrophy.
196823
9 196720
10 198520
11 196018
12 196717
13 196717
14 196811
15 19687
16 19746
17 19764
18 19653
19 19732
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 640 indexed citations. Recurring topics across this work include Helicobacter pylori-related gastroenterology studies (4 papers), Immune Cell Function and Interaction (3 papers), Porphyrin Metabolism and Disorders (3 papers), Hemoglobinopathies and Related Disorders (2 papers), Iron Metabolism and Disorders (2 papers), T-cell and B-cell Immunology (2 papers), Diabetes and associated disorders (2 papers) and Atherosclerosis and Cardiovascular Diseases (2 papers). The work is most often cited by research in Gastroenterology (122 citations), Hepatology (59 citations), Endocrinology, Diabetes and Metabolism (116 citations), Immunology (124 citations) and Surgery (258 citations). Berta Ungar has collaborated with scholars based in Australia and United Kingdom. Frequent co-authors include IanR. Mackay, Senga Whittingham, John D. Mathews, A. E. Stocks, F. I. R. Martin, S. Weiden, H J De Aizpurua, Ban‐Hock Toh, I. R. Mackay and David Cowling. Their work appears in journals such as The Medical Journal of Australia, The Lancet, New England Journal of Medicine, Journal of Clinical Pathology 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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