Iris Treinies
Impact in
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- Fibroblast Growth Factor Research
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- Metabolism, Diabetes, and Cancer
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- Adipose Tissue and Metabolism
Papers in
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- Metabolism, Diabetes, and Cancer 3
- Protein Kinase Regulation and GTPase Signaling 3
- PI3K/AKT/mTOR signaling in cancer 2
- Ion channel regulation and function 1
- Melanoma and MAPK Pathways 1
- Surgery 3
- Pancreatic function and diabetes 3
- Co-authors
- Jesper Gromada (2 shared papers)Heike Zitzer (2 shared papers)Alexander M. Efanov (2 shared papers)George E. Sandusky (1 shared paper)Alexei Kharitonenkov (1 shared paper)Martin Brenner (1 shared paper)Anja Köster (1 shared paper)Sabine Sewing (1 shared paper)
- Journals
- Chemical Communications (1 paper)Diabetes (1 paper)FEBS Letters (1 paper)Bioorganic & Medicinal Chemistry (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanyUnited KingdomBrazil
In The Last Decade
Iris Treinies
8 papers receiving 652 citations
Peers
Comparison fields: 5 of 62
- Molecular Biology 515
- Physiology 18
- Cell Biology 59
- Cancer Research 37
- Oncology 66
Countries citing papers authored by Iris Treinies
This map shows the geographic impact of Iris Treinies'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 Iris Treinies with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Treinies more than expected).
Fields of papers citing papers by Iris Treinies
This network shows the impact of papers produced by Iris Treinies. 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 Iris Treinies. The network helps show where Iris Treinies may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Treinies, 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 | 2006 | 419 | |
| 2 | 1999 | 168 | |
| 3 | 2013 | 30 | |
| 4 | 2001 | 20 | |
| 5 | 2005 | 12 | |
| 6 | 2021 | 9 | |
| 7 | 2002 | 8 | |
| 8 | 1994 | 3 |
About Iris Treinies
Iris Treinies is a scholar working on Molecular Biology, Surgery, Pathology and Forensic Medicine, Pharmacology and Cellular and Molecular Neuroscience, having authored 8 papers that have together received 669 indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Pancreatic function and diabetes (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Ion channel regulation and function (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Melanoma and MAPK Pathways (1 paper). The work is most often cited by research in Molecular Biology (515 citations), Physiology (18 citations), Cell Biology (59 citations), Cancer Research (37 citations) and Oncology (66 citations). Iris Treinies has collaborated with scholars based in Germany, United Kingdom and Brazil. Frequent co-authors include Jesper Gromada, Heike Zitzer, Alexander M. Efanov, George E. Sandusky, Alexei Kharitonenkov, Martin Brenner, Anja Köster, Sabine Sewing, Hugh F. Paterson and Rebecca Wilson. Their work appears in journals such as Chemical Communications, Diabetes, FEBS Letters, Bioorganic & Medicinal Chemistry and Proceedings of the National Academy of Sciences.
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.