Tim Sonntag
Impact in
-
- Circadian rhythm and melatonin
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 3
- Metabolism, Diabetes, and Cancer 2
- RNA and protein synthesis mechanisms 2
- 14-3-3 protein interactions 2
- RNA Research and Splicing 2
- Viral Infectious Diseases and Gene Expression in Insects 2
- Signaling Pathways in Disease 1
- Oncology 2
- Co-authors
- Mariko Sawa (1 shared paper)Steve A. Kay (1 shared paper)David A. Brenner (1 shared paper)Tsuyoshi Hirota (1 shared paper)Peter G. Schultz (1 shared paper)Jae Wook Lee (1 shared paper)Francis J. Doyle (1 shared paper)Keiko Iwaisako (1 shared paper)
- Journals
- PLoS ONE (3 papers)Molecular BioSystems (1 paper)Cancer Immunology Immunotherapy (1 paper)iScience (1 paper)Science (1 paper)
- Partner nations
- United StatesGermanySwitzerland
In The Last Decade
Tim Sonntag
7 papers receiving 482 citations
Tim Sonntag's Hit Papers
Peers
Comparison fields: 5 of 69
- Endocrine and Autonomic Systems 322
- Aging 61
- Physiology 143
- Cellular and Molecular Neuroscience 83
- Plant Science 133
Countries citing papers authored by Tim Sonntag
This map shows the geographic impact of Tim Sonntag'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 Tim Sonntag with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Sonntag more than expected).
Fields of papers citing papers by Tim Sonntag
This network shows the impact of papers produced by Tim Sonntag. 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 Tim Sonntag. The network helps show where Tim Sonntag may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Sonntag, 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 | Identification of Small Molecule Activators of Cryptochrome Hit paper breakdown → | 2012 | 386 |
| 2 | 2015 | 30 | |
| 3 | 2011 | 25 | |
| 4 | 2017 | 24 | |
| 5 | 2018 | 17 | |
| 6 | 2013 | 5 | |
| 7 | 2019 | 4 | |
| 8 | 2025 | 0 |
About Tim Sonntag
Tim Sonntag is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Endocrine and Autonomic Systems and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 491 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Metabolism, Diabetes, and Cancer (2 papers), RNA and protein synthesis mechanisms (2 papers), 14-3-3 protein interactions (2 papers), RNA Research and Splicing (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Plant Molecular Biology Research (1 paper) and Signaling Pathways in Disease (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (322 citations), Aging (61 citations), Physiology (143 citations), Cellular and Molecular Neuroscience (83 citations) and Plant Science (133 citations). Tim Sonntag has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Mariko Sawa, Steve A. Kay, David A. Brenner, Tsuyoshi Hirota, Peter G. Schultz, Jae Wook Lee, Francis J. Doyle, Keiko Iwaisako, David K. Welsh and Peter C. St. John. Their work appears in journals such as PLoS ONE, Molecular BioSystems, Cancer Immunology Immunotherapy, iScience and Science.
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.