Eva Berent

772 citations
19 papers · 663 · h-index 13

Impact in

    • Tryptophan and brain disorders
    • Protein Kinase Regulation and GTPase Signaling
    • Genomics, phytochemicals, and oxidative stress
    • Receptor Mechanisms and Signaling
    • Glycosylation and Glycoproteins Research

Papers in

    • Chemical Synthesis and Analysis 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Genomics, phytochemicals, and oxidative stress 2
    • HER2/EGFR in Cancer Research 2

Eva Berent

18 papers receiving 648 citations

Peers

Eva Berent
Comparison fields: 5 of 82
  • Biological Psychiatry 28
  • Molecular Biology 481
  • Cell Biology 77
  • Oncology 121
  • Pharmacology 34
Replace Jun Zheng with:
Jun Zheng China
Anne Mathieu Belgium
Alireza Kheirollah Iran
Noriaki Arakawa Japan
Debora Soncini Italy
Valeria G. Antico Arciuch Argentina
Young-Mee Park South Korea
Rong Hu China
Miyuki Nagasaki Japan
Maria Teresa Rizzo United States
Eva Berent relative to Jun Zheng China Jun Zheng's profile →
Citations per field
00.5×1.5×2.3×
Jun Zheng · 1×
Citations per year

Countries citing papers authored by Eva Berent

Since Specialization
Citations

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

Fields of papers citing papers by Eva Berent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1991191
2 198873
3 198771
4 200366
5 200342
6 199141
7 198824
8 200721
9 201520
10 201120
11 200519
12 202018
13 200814
14 201412
15 201411
16 20218
17 20227
18 20175
19 20250

About Eva Berent

Eva Berent is a scholar working on Molecular Biology, Oncology, Pharmacology, Biological Psychiatry and Epidemiology, having authored 19 papers that have together received 663 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Tryptophan and brain disorders (3 papers), HER2/EGFR in Cancer Research (2 papers), Chemical Synthesis and Analysis (2 papers), Immune Cell Function and Interaction (2 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Genomics, phytochemicals, and oxidative stress (2 papers). The work is most often cited by research in Biological Psychiatry (28 citations), Molecular Biology (481 citations), Cell Biology (77 citations), Oncology (121 citations) and Pharmacology (34 citations). Eva Berent has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Etta Livneh, Shai Ashkenazi, Yael Yuhas, A Ullrich, Joseph Schlessinger, Ron Prywes, Thomas J. Dull, Nachum Reiss, Ada Rozen and Abraham Weizman. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Molecular and Cellular Biology, Journal of Neuroimmunology, Oncogene and Inflammation Research.

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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