Eva Berent

778 citations
19 papers · 705 · h-index 14

Impact in

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

Papers in

    • Genomics, phytochemicals, and oxidative stress 2
    • Protein Kinase Regulation and GTPase Signaling 2
    • Drug Transport and Resistance Mechanisms 2

Eva Berent

19 papers receiving 684 citations

Peers

Eva Berent
Comparison fields: 5 of 83
  • Biological Psychiatry 26
  • Molecular Biology 492
  • Oncology 128
  • Cell Biology 78
  • Pharmacology 32
Replace Monica A. Istrate with:
Monica A. Istrate United States
Anne Mathieu Belgium
Anett Illing Germany
Howard C. Shen United States
Noriaki Arakawa Japan
Rong Hu China
Han-Jong Kim South Korea
José Manuel García-Martínez Spain
Magali Joffraud Switzerland
Melissa L. Sokolosky United States
Eva Berent relative to Monica A. Istrate United States Monica A. Istrate's profile →
Citations per field
00.5×3.5×
Monica A. Istrate · 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 1991201
2 198881
3 198781
4 200370
5 200343
6 199141
7 198824
8 201122
9 200721
10 201521
11 200519
12 202019
13 200814
14 201413
15 201412
16 202110
17 20227
18 20175
19 20251

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 705 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), Genomics, phytochemicals, and oxidative stress (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Treatment of Major Depression (2 papers), Immune Cell Function and Interaction (2 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). The work is most often cited by research in Biological Psychiatry (26 citations), Molecular Biology (492 citations), Oncology (128 citations), Cell Biology (78 citations) and Pharmacology (32 citations). Eva Berent has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Etta Livneh, Yael Yuhas, Joseph Schlessinger, Shai Ashkenazi, A Ullrich, 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, Oncogene, Journal of Neuroimmunology and Frontiers in Pediatrics.

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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