Varda Barash

1.5k citations
52 papers · 1.3k · h-index 22

Impact in

Papers in

Varda Barash

52 papers receiving 1.2k citations

Peers

Varda Barash
Comparison fields: 5 of 82
  • Clinical Biochemistry 234
  • Rheumatology 281
  • Obstetrics and Gynecology 106
  • Biochemistry 71
  • Molecular Biology 335
Replace Klary E. Niezen‐Koning with:
Klary E. Niezen‐Koning Netherlands
Colin T. Jones United Kingdom
Yosuke Shigematsu Japan
Isabel A. Rivera Portugal
Shanti Balasubramaniam Australia
Robert C. McEvoy United States
Nikolaos Venizelos Sweden
Ichiro Yokota Japan
Bruno W. Volk United States
Larry Schneck United States
Varda Barash relative to Klary E. Niezen‐Koning Netherlands Klary E. Niezen‐Koning's profile →
Citations per field
00.5×2×3×3.5×
Klary E. Niezen‐Koning · 1×
Citations per year

Countries citing papers authored by Varda Barash

Since Specialization
Citations

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

Fields of papers citing papers by Varda Barash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Varda Barash, 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 Varda Barash Line = papers co-authored together Varda Barash links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012114
2 1998101
3 199177
4 200460
5 200058
6 199648
7 199945
8 199543
9 200342
10 200336
11 199734
12
The frequency of the C854 mutation in the aspartoacylase gene in Ashkenazi Jews in Israel.
199433
13 198332
14 199732
15
Placental glycogen metabolism in diabetic pregnancy.
199231
16 200231
17 200430
18 200129
19 199028
20 200425

About Varda Barash

Varda Barash is a scholar working on Clinical Biochemistry, Rheumatology, Obstetrics and Gynecology, Molecular Biology and Biochemistry, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (17 papers), Glycogen Storage Diseases and Myoclonus (13 papers), Mitochondrial Function and Pathology (9 papers), Metabolism, Diabetes, and Cancer (8 papers), Gestational Diabetes Research and Management (6 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Pancreatic function and diabetes (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Clinical Biochemistry (234 citations), Rheumatology (281 citations), Obstetrics and Gynecology (106 citations), Biochemistry (71 citations) and Molecular Biology (335 citations). Varda Barash has collaborated with scholars based in Israel, United States and France. Frequent co-authors include Eleazar Shafrir, Tally Lerman‐Sagie, Dorit Lev, Alisa Gutman, Tova Chajek‐Shaul, Zohar Argov, Andreea Nissenkorn, Dov Soffer, Oded Abramsky and Alexander Lossos. Their work appears in journals such as Journal of Inherited Metabolic Disease, Metabolism, Annals of Neurology, Diabetologia and Placenta.

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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