Daniela Brodbeck

1.3k citations
11 papers · 1.1k · h-index 9

Impact in

    • PI3K/AKT/mTOR signaling in cancer
    • Metabolism, Diabetes, and Cancer
    • Protein Kinase Regulation and GTPase Signaling
    • FOXO transcription factor regulation
    • Pregnancy and preeclampsia studies

Papers in

Daniela Brodbeck

11 papers receiving 1.1k citations

Peers

Daniela Brodbeck
Comparison fields: 5 of 79
  • Molecular Biology 764
  • Obstetrics and Gynecology 74
  • Cancer Research 84
  • Immunology 116
  • Developmental Neuroscience 20
Replace Yu Chen Zhao with:
Yu Chen Zhao China
Minoru Asada Japan
Atsuko Kasahara Japan
Tomoya Ozaki Japan
S. M. Forrest Australia
Larry N. Petz United States
Suzan Abu–Abed Canada
Vemparala Subbarayan United States
Marina Inés Flamini Argentina
Angel Matías Sanchez Italy
Daniela Brodbeck relative to Yu Chen Zhao China Yu Chen Zhao's profile →
Citations per field
00.5×1.5×1.9×
Yu Chen Zhao · 1×
Citations per year

Countries citing papers authored by Daniela Brodbeck

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Brodbeck

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2005345
2 2003342
3 1999161
4 1999101
5 199862
6 200142
7 199412
8 202110
9 202210
10 19947
11 20225

About Daniela Brodbeck

Daniela Brodbeck is a scholar working on Sensory Systems, Nutrition and Dietetics, Molecular Biology, Cellular and Molecular Neuroscience and Toxicology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Ion Channels and Receptors (3 papers), Neurobiology and Insect Physiology Research (2 papers), Biochemical and Structural Characterization (1 paper) and Olfactory and Sensory Function Studies (1 paper). The work is most often cited by research in Molecular Biology (764 citations), Obstetrics and Gynecology (74 citations), Cancer Research (84 citations), Immunology (116 citations) and Developmental Neuroscience (20 citations). Daniela Brodbeck has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Brian A. Hemmings, Oliver Tschopp, Maja Hemmings-Mieszczak, Peter D. Cron, Elias Perentes, Zhongzhou Yang, Jianhua Feng, Bettina A. Dummler, Thomas Michaelis and Jens Frahm. Their work appears in journals such as Journal of Biological Chemistry, DNA and Cell Biology, Journal of Medicinal Chemistry, SLAS DISCOVERY and Pharmacology & Therapeutics.

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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