Daniela Brodbeck
Impact in
- Molecular Biology top 10%
- PI3K/AKT/mTOR signaling in cancer
- Protein Kinase Regulation and GTPase Signaling
- Metabolism, Diabetes, and Cancer
- FOXO transcription factor 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
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- Ion Channels and Receptors 3
- Co-authors
- Brian A. Hemmings (5 shared papers)Maja Hemmings-Mieszczak (2 shared papers)Oliver Tschopp (2 shared papers)Peter Cron (1 shared paper)Elias Perentes (1 shared paper)Zhongzhou Yang (1 shared paper)Jianhua Feng (1 shared paper)Takashi Watanabe (1 shared paper)
- Journals
- Journal of Biological Chemistry (3 papers)DNA and Cell Biology (1 paper)Development (1 paper)SLAS DISCOVERY (1 paper)Bioorganic & Medicinal Chemistry (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Daniela Brodbeck
11 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 80
- Molecular Biology 759
- Obstetrics and Gynecology 74
- Cancer Research 84
- Immunology 115
- Developmental Neuroscience 20
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 | 338 | |
| 2 | 2003 | 338 | |
| 3 | 1999 | 161 | |
| 4 | 1999 | 103 | |
| 5 | 1998 | 63 | |
| 6 | 2001 | 41 | |
| 7 | 1994 | 12 | |
| 8 | 2021 | 9 | |
| 9 | 1994 | 7 | |
| 10 | 2022 | 6 | |
| 11 | 2022 | 2 |
About Daniela Brodbeck
Daniela Brodbeck is a scholar working on Molecular Biology, Sensory Systems, Nutrition and Dietetics, Cellular and Molecular Neuroscience and Genetics, having authored 11 papers that have together received 1.1k 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), Neurobiology and Insect Physiology Research (2 papers), Circadian rhythm and melatonin (1 paper) and Bioactive Compounds and Antitumor Agents (1 paper). The work is most often cited by research in Molecular Biology (759 citations), Obstetrics and Gynecology (74 citations), Cancer Research (84 citations), Immunology (115 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, Maja Hemmings-Mieszczak, Oliver Tschopp, Peter Cron, Elias Perentes, Zhongzhou Yang, Jianhua Feng, Takashi Watanabe, Bettina Dümmler and Thomas Michaelis. Their work appears in journals such as Journal of Biological Chemistry, DNA and Cell Biology, Development, SLAS DISCOVERY 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.