Bluma Berman

1.2k citations
19 papers · 1.1k indexed · h-index 18

Impact in

Papers in

Bluma Berman

19 papers receiving 1.0k citations

Peers

Bluma Berman
Comparison fields: 5 of 89
  • Cell Biology 333
  • Nutrition and Dietetics 171
  • Hematology 123
  • Molecular Biology 672
  • Cancer Research 108
Replace Ursula Just with:
Ursula Just Germany
Béla Z. Schmidt United States
Khaldon Bodoor Jordan
E Abe Japan
Jiro Takito Japan
Jonathan Frampton United Kingdom
Toshihiko Hoashi Japan
L.L. Haley United States
Robert F. Santerre United States
Roberta Giuliani Italy
Bluma Berman relative to Ursula Just Germany Ursula Just's profile →
Citations per field
00.5×1.5×
Ursula Just · 1×
Citations per year

Countries citing papers authored by Bluma Berman

Since Specialization
Citations

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

Fields of papers citing papers by Bluma Berman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1999157
2 2002124
3
Fibroblast growth factor receptors display both common and distinct signaling pathways.
1995110
4 199784
5 201274
6 200862
7 201456
8 197850
9 201449
10 199941
11 201540
12 201937
13 199535
14 200231
15 200629
16 200926
17
Nonradioactive gel mobility shift assay using chemiluminescent detection.
199320
18 201617
19 200510

About Bluma Berman

Bluma Berman is a scholar working on Molecular Biology, Nutrition and Dietetics, Hematology, Cell Biology and Rheumatology, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Trace Elements in Health (6 papers), Proteoglycans and glycosaminoglycans research (5 papers), Fibroblast Growth Factor Research (5 papers), Folate and B Vitamins Research (4 papers), Iron Metabolism and Disorders (3 papers), Glycosylation and Glycoproteins Research (2 papers), RNA regulation and disease (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cell Biology (333 citations), Nutrition and Dietetics (171 citations), Hematology (123 citations), Molecular Biology (672 citations) and Cancer Research (108 citations). Bluma Berman has collaborated with scholars based in Israel, United States and Netherlands. Frequent co-authors include Yehuda G. Assaraf, Dina Ron, Ronit Reich‐Slotky, Fabian Glaser, Larry Witte, Stela Gengrinovitch, Gera Neufeld, Guido David, Helen F. Cserr and Yarden Golan. Their work appears in journals such as Journal of Biological Chemistry, Cell Death and Disease, International Journal of Food Microbiology, Molecular Pharmacology and Cancer Chemotherapy and Pharmacology.

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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