Iris Treinies
Impact in
-
- Fibroblast Growth Factor Research
- Kruppel-like factors research
- Epigenetics and DNA Methylation
- Metabolism, Diabetes, and Cancer
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
-
- Adipose Tissue and Metabolism
Papers in
-
- 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
- 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)Sabine Sewing (1 shared paper)George E. Sandusky (1 shared paper)Martin Brenner (1 shared paper)Anja Köster (1 shared paper)Alexei Kharitonenkov (1 shared paper)
- Journals
- Chemical Communications (1 paper)Bioorganic & Medicinal Chemistry (1 paper)FEBS Letters (1 paper)Diabetes (1 paper)Naunyn-Schmiedeberg s Archives of Pharmacology (1 paper)
- Partner nations
- GermanyUnited KingdomBrazil
In The Last Decade
Iris Treinies
8 papers receiving 648 citations
Peers
Comparison fields: 5 of 63
- Molecular Biology 538
- Physiology 18
- Cell Biology 61
- Cancer Research 42
- Endocrinology, Diabetes and Metabolism 44
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 | 417 | |
| 2 | 1999 | 169 | |
| 3 | 2013 | 30 | |
| 4 | 2001 | 20 | |
| 5 | 2005 | 12 | |
| 6 | 2002 | 8 | |
| 7 | 2021 | 7 | |
| 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 666 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Ion channel regulation and function (1 paper), Cancer Genomics and Diagnostics (1 paper), Genetic factors in colorectal cancer (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Molecular Biology (538 citations), Physiology (18 citations), Cell Biology (61 citations), Cancer Research (42 citations) and Endocrinology, Diabetes and Metabolism (44 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, Sabine Sewing, George E. Sandusky, Martin Brenner, Anja Köster, Alexei Kharitonenkov, Rebecca Wilson and Hugh F. Paterson. Their work appears in journals such as Chemical Communications, Bioorganic & Medicinal Chemistry, FEBS Letters, Diabetes and Naunyn-Schmiedeberg s Archives of Pharmacology.
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.