Tanja Tamgüney

952 total citations
8 papers, 724 citations indexed

About

Tanja Tamgüney is a scholar working on Molecular Biology, Cell Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Tanja Tamgüney has authored 8 papers receiving a total of 724 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cell Biology and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Tanja Tamgüney's work include PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Melanoma and MAPK Pathways (3 papers). Tanja Tamgüney is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers) and Melanoma and MAPK Pathways (3 papers). Tanja Tamgüney collaborates with scholars based in United States, Australia and Germany. Tanja Tamgüney's co-authors include David Stokoe, Eric A. Collisson, Frank McCormick, Xiaolin Nan, Steven Chu, Joe W. Gray, Jacqueline Galeas, Li-Jung Lin, Cameron Pitt and Jan Liphardt and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Molecular and Cellular Biology and Journal of Cell Science.

In The Last Decade

Tanja Tamgüney

8 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tanja Tamgüney United States	7	581	106	102	93	70	8	724
Mervi Heiskanen Finland	15	717 1.2×	97 0.9×	54 0.5×	92 1.0×	41 0.6×	23	1.0k
Michael Zager United States	6	781 1.3×	159 1.5×	68 0.7×	153 1.6×	92 1.3×	12	1.0k
Elmar Bucher United States	10	514 0.9×	183 1.7×	108 1.1×	205 2.2×	22 0.3×	18	746
Marieke Willemse Netherlands	15	398 0.7×	73 0.7×	67 0.7×	97 1.0×	19 0.3×	21	592
S. van der Flier Netherlands	14	668 1.1×	259 2.4×	129 1.3×	134 1.4×	26 0.4×	18	1.0k
Kristoffer Weber Germany	13	717 1.2×	436 4.1×	64 0.6×	155 1.7×	70 1.0×	17	1.1k
Harvey Herschman United States	14	394 0.7×	204 1.9×	99 1.0×	144 1.5×	98 1.4×	21	933
Geisilene Russano de Paiva Silva Brazil	11	241 0.4×	129 1.2×	56 0.5×	140 1.5×	25 0.4×	25	535
Yakov Chudnovsky United States	8	498 0.9×	181 1.7×	61 0.6×	191 2.1×	37 0.5×	10	675
Gregory Weitsman United Kingdom	18	409 0.7×	288 2.7×	101 1.0×	71 0.8×	20 0.3×	35	792

Countries citing papers authored by Tanja Tamgüney

Since Specialization

Citations

This map shows the geographic impact of Tanja Tamgüney'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 Tanja Tamgüney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Tamgüney more than expected).

Fields of papers citing papers by Tanja Tamgüney

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tanja Tamgüney. 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 Tanja Tamgüney. The network helps show where Tanja Tamgüney may publish in the future.

Co-authorship network of co-authors of Tanja Tamgüney

This figure shows the co-authorship network connecting the top 25 collaborators of Tanja Tamgüney. A scholar is included among the top collaborators of Tanja Tamgüney 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 Tanja Tamgüney. Tanja Tamgüney 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

Nan, Xiaolin, Tanja Tamgüney, Eric A. Collisson, et al.. (2015). Ras-GTP dimers activate the Mitogen-Activated Protein Kinase (MAPK) pathway. Proceedings of the National Academy of Sciences. 112(26). 7996–8001. 208 indexed citations

Nan, Xiaolin, Eric A. Collisson, Jing Huang, et al.. (2013). Single-molecule superresolution imaging allows quantitative analysis of RAF multimer formation and signaling. Proceedings of the National Academy of Sciences. 110(46). 18519–18524. 124 indexed citations

Semir, David de, Mehdi Nosrati, Vladimir Bezrookove, et al.. (2012). Pleckstrin homology domain-interacting protein (PHIP) as a marker and mediator of melanoma metastasis. Proceedings of the National Academy of Sciences. 109(18). 7067–7072. 30 indexed citations

Tamgüney, Tanja, Chao Zhang, Dorothea Fiedler, Kevan M. Shokat, & David Stokoe. (2008). Analysis of 3-phosphoinositide-dependent kinase-1 signaling and function in ES cells. Experimental Cell Research. 314(11-12). 2299–2312. 25 indexed citations

Tamgüney, Tanja. (2008). Analysis of 3-phosphoinositide dependent kinase 1 signaling and function in murine embryonic stem cells. OPUS FAU (Kooperativer Bibliotheksverbund Berlin-Brandenburg (KOBV), on behalf of the Universitätsbibliothek Erlangen-Nürnberg). 1 indexed citations

Wiencke, John K., Shichun Zheng, Tarık Tihan, et al.. (2007). Methylation of the PTEN promoter defines low-grade gliomas and secondary glioblastoma. Neuro-Oncology. 9(3). 271–279. 123 indexed citations

Tamgüney, Tanja & David Stokoe. (2007). New insights into PTEN. Journal of Cell Science. 120(23). 4071–4079. 194 indexed citations

Tominaga, Yuichi, Tanja Tamgüney, Marina Kolesnichenko, Benoît Bilanges, & David Stokoe. (2005). Translational Deregulation in PDK-1^−/− Embryonic Stem Cells. Molecular and Cellular Biology. 25(19). 8465–8475. 19 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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