Iris Treinies

769 total citations
8 papers, 666 citations indexed

About

Iris Treinies is a scholar working on Molecular Biology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Iris Treinies has authored 8 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Iris Treinies's work include Protein Kinase Regulation and GTPase Signaling (3 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Iris Treinies is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (3 papers), Pancreatic function and diabetes (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). Iris Treinies collaborates with scholars based in Germany, United Kingdom and Brazil. Iris Treinies's co-authors include Alexander M. Efanov, Jesper Gromada, Heike Zitzer, Alexei Kharitonenkov, Anja Köster, George E. Sandusky, Sabine Sewing, Martin Brenner, Hugh F. Paterson and Steven Hooper and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Diabetes.

In The Last Decade

Iris Treinies

8 papers receiving 648 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Iris Treinies Germany	7	538	117	71	69	61	8	666
Priyanka Tibarewal United Kingdom	7	425 0.8×	94 0.8×	72 1.0×	22 0.3×	46 0.8×	11	486
William G. Benson United States	6	260 0.5×	185 1.6×	120 1.7×	49 0.7×	90 1.5×	9	583
Divya Murthy United States	12	246 0.5×	62 0.5×	106 1.5×	50 0.7×	56 0.9×	32	474
Crystal M. Weyman United States	15	506 0.9×	62 0.5×	84 1.2×	60 0.9×	75 1.2×	26	658
Stefania Santopietro Italy	9	481 0.9×	66 0.6×	147 2.1×	42 0.6×	57 0.9×	9	612
Brenda Wallach United Kingdom	6	512 1.0×	111 0.9×	73 1.0×	57 0.8×	69 1.1×	6	663
Beate Vogt Germany	9	442 0.8×	95 0.8×	280 3.9×	54 0.8×	81 1.3×	11	584
J.P. Leek United Kingdom	13	205 0.4×	71 0.6×	70 1.0×	69 1.0×	33 0.5×	31	402
Rosanna Bagnulo Italy	12	281 0.5×	74 0.6×	108 1.5×	81 1.2×	45 0.7×	36	515
Nagadhara Dronadula United States	16	358 0.7×	147 1.3×	116 1.6×	69 1.0×	34 0.6×	22	643

Countries citing papers authored by Iris Treinies

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Iris Treinies

This figure shows the co-authorship network connecting the top 25 collaborators of Iris Treinies. A scholar is included among the top collaborators of Iris Treinies based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Iris Treinies. Iris Treinies is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Andrews, David, Sabina Cosulich, Nullin Divecha, et al.. (2021). Identification and optimization of a novel series of selective PIP5K inhibitors. Bioorganic & Medicinal Chemistry. 54. 116557–116557. 7 indexed citations

Waring, Michael J., David Andrews, Paul Faulder, et al.. (2013). Potent, selective small molecule inhibitors of type III phosphatidylinositol-4-kinase α- but not β-inhibit the phosphatidylinositol signaling cascade and cancer cell proliferation. Chemical Communications. 50(40). 5388–5390. 30 indexed citations

Efanov, Alexander M., Martin Brenner, Alexei Kharitonenkov, et al.. (2006). Fibroblast Growth Factor-21 Improves Pancreatic β-Cell Function and Survival by Activation of Extracellular Signal–Regulated Kinase 1/2 and Akt Signaling Pathways. Diabetes. 55(9). 2470–2478. 417 indexed citations

Efanov, Alexander M., Iris Treinies, Heike Zitzer, et al.. (2005). The PDZ/coiled‐coil domain containing protein PIST modulates insulin secretion in MIN6 insulinoma cells by interacting with somatostatin receptor subtype 5. FEBS Letters. 579(28). 6305–6310. 12 indexed citations

Proks, Peter, et al.. (2002). Inhibition of recombinant KATP channels by the antidiabetic agents midaglizole, LY397364 and LY389382. European Journal of Pharmacology. 452(1). 11–19. 8 indexed citations

Raap, Achim, J. Schloos, Iris Treinies, et al.. (2001). Glucose-induced insulin secretion is potentiated by a new imidazoline compound. Naunyn-Schmiedeberg s Archives of Pharmacology. 364(1). 47–52. 20 indexed citations

Treinies, Iris, Hugh F. Paterson, Steven Hooper, Rebecca Wilson, & Christopher J. Marshall. (1999). Activated MEK Stimulates Expression of AP-1 Components Independently of Phosphatidylinositol 3-Kinase (PI3-Kinase) but Requires a PI3-Kinase Signal To Stimulate DNA Synthesis. Molecular and Cellular Biology. 19(1). 321–329. 169 indexed citations

Lang, Matthias, Iris Treinies, Peter Duesberg, Reinhard Kurth, & Klaus Cichutek. (1994). Development of transforming function during transduction of proto-ras into Harvey sarcoma virus.. Proceedings of the National Academy of Sciences. 91(2). 654–658. 3 indexed citations

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.

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