Daniela Brodbeck
Impact in
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Metabolism, Diabetes, and Cancer
- Protein Kinase Regulation and GTPase Signaling
- Cancer-related gene regulation
- Obstetrics and Gynecology top 10%
- Pregnancy and preeclampsia studies
Papers in
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- Metabolism, Diabetes, and Cancer 4
- Protein Kinase Regulation and GTPase Signaling 4
- PI3K/AKT/mTOR signaling in cancer 4
- Kruppel-like factors research 1
- Biochemical and Structural Characterization 1
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- Ion Channels and Receptors 3
- Co-authors
- Brian A. Hemmings (5 shared papers)Oliver Tschopp (2 shared papers)Maja Hemmings-Mieszczak (2 shared papers)Peter Cron (1 shared paper)Jianhua Feng (1 shared paper)Elias Perentes (1 shared paper)Zhongzhou Yang (1 shared paper)Takashi Watanabe (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)SLAS DISCOVERY (1 paper)Development (1 paper)Pharmacology & Therapeutics (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Daniela Brodbeck
10 papers receiving 962 citations
Peers
Comparison fields: 5 of 79
- Molecular Biology 762
- Obstetrics and Gynecology 75
- Cancer Research 89
- Developmental Neuroscience 23
- Immunology 110
Countries citing papers authored by Daniela Brodbeck
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 331 | |
| 2 | 2003 | 330 | |
| 3 | 1999 | 156 | |
| 4 | 1999 | 98 | |
| 5 | 2001 | 41 | |
| 6 | 1994 | 10 | |
| 7 | 2021 | 9 | |
| 8 | 1994 | 6 | |
| 9 | 2022 | 6 | |
| 10 | 2022 | 2 |
About Daniela Brodbeck
Daniela Brodbeck is a scholar working on Molecular Biology, Sensory Systems, Nutrition and Dietetics, Genetics and Pharmacology, having authored 10 papers that have together received 989 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Ion Channels and Receptors (3 papers), Advanced Chemical Sensor Technologies (1 paper), Kruppel-like factors research (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Molecular Biology (762 citations), Obstetrics and Gynecology (75 citations), Cancer Research (89 citations), Developmental Neuroscience (23 citations) and Immunology (110 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 Cron, Jianhua Feng, Elias Perentes, Zhongzhou Yang, Takashi Watanabe, Thomas Michaelis and Jens Frahm. Their work appears in journals such as Journal of Biological Chemistry, SLAS DISCOVERY, Development, Pharmacology & Therapeutics and Bioorganic & Medicinal Chemistry.
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.