Bluma Berman

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

Impact in

Papers in

    • Fibroblast Growth Factor Research 5
    • Glycosylation and Glycoproteins Research 2
    • RNA and protein synthesis mechanisms 2
    • RNA regulation and disease 2
    • Trace Elements in Health 6

Bluma Berman

19 papers receiving 1.1k citations

Peers

Bluma Berman
Comparison fields: 5 of 89
  • Cell Biology 342
  • Nutrition and Dietetics 181
  • Hematology 122
  • Molecular Biology 675
  • Cancer Research 109
Replace Ursula Just with:
Ursula Just Germany
Béla Z. Schmidt United States
Gerlinde Stark Switzerland
Jiro Takito Japan
H. Hoshi Japan
Toshihiko Hoashi Japan
Jonathan Frampton United Kingdom
Ilaria Potolicchio Italy
Robert F. Santerre United States
Sadao Sugiyama Japan
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 1999167
2 2002132
3
Fibroblast growth factor receptors display both common and distinct signaling pathways.
1995112
4 199793
5 201280
6 200865
7 201457
8 197856
9 201452
10 199942
11 201541
12 201937
13 199535
14 200232
15 200629
16 200927
17
Nonradioactive gel mobility shift assay using chemiluminescent detection.
199322
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), Fibroblast Growth Factor Research (5 papers), Proteoglycans and glycosaminoglycans research (5 papers), Folate and B Vitamins Research (4 papers), Iron Metabolism and Disorders (3 papers), Glycosylation and Glycoproteins Research (2 papers), RNA and protein synthesis mechanisms (2 papers) and RNA regulation and disease (2 papers). The work is most often cited by research in Cell Biology (342 citations), Nutrition and Dietetics (181 citations), Hematology (122 citations), Molecular Biology (675 citations) and Cancer Research (109 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, Guido David, Larry Witte, Stela Gengrinovitch, Gera Neufeld, Helen F. Cserr and Yarden Golan. Their work appears in journals such as Journal of Biological Chemistry, Cell Death and Disease, Biochemical and Biophysical Research Communications, Blood and Molecular 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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