Tüzer Kalkan

3.5k total citations · 1 hit paper
19 papers, 2.4k citations indexed

About

Tüzer Kalkan is a scholar working on Molecular Biology, Biomedical Engineering and Genetics. According to data from OpenAlex, Tüzer Kalkan has authored 19 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 5 papers in Biomedical Engineering and 2 papers in Genetics. Recurrent topics in Tüzer Kalkan's work include Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (15 papers) and Renal and related cancers (6 papers). Tüzer Kalkan is often cited by papers focused on Pluripotent Stem Cells Research (15 papers), CRISPR and Genetic Engineering (15 papers) and Renal and related cancers (6 papers). Tüzer Kalkan collaborates with scholars based in United Kingdom, Germany and Netherlands. Tüzer Kalkan's co-authors include Austin Smith, Jason Wray, Jennifer Nichols, Hendrik G. Stunnenberg, Hendrik Marks, Helmut Hofemeister, Roberta Menafra, Kenneth D. Jones, Andrew S. Cook and Andrea Kranz and has published in prestigious journals such as Cell, Bioinformatics and PLoS ONE.

In The Last Decade

Tüzer Kalkan

19 papers receiving 2.4k citations

Hit Papers

The Transcriptional and Epigenomic Foundations of Ground ... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tüzer Kalkan United Kingdom 17 2.3k 271 270 164 153 19 2.4k
Patrick Schorderet United States 11 2.3k 1.0× 276 1.0× 177 0.7× 228 1.4× 239 1.6× 11 2.4k
Xuezhu Feng China 17 1.6k 0.7× 120 0.4× 270 1.0× 212 1.3× 81 0.5× 40 1.7k
Dina A. Faddah United States 9 1.9k 0.8× 180 0.7× 171 0.6× 132 0.8× 113 0.7× 12 2.0k
Christa Buecker United States 12 1.3k 0.6× 177 0.7× 167 0.6× 148 0.9× 65 0.4× 14 1.5k
Carla Mulas United Kingdom 16 1.5k 0.6× 123 0.5× 192 0.7× 116 0.7× 99 0.6× 19 1.7k
Johanna Goldmann United States 8 1.5k 0.6× 265 1.0× 125 0.5× 78 0.5× 147 1.0× 10 1.7k
Helene Kretzmer Germany 14 1.2k 0.5× 184 0.7× 100 0.4× 68 0.4× 149 1.0× 29 1.3k
Ivana Barbaric United Kingdom 19 881 0.4× 184 0.7× 147 0.5× 102 0.6× 82 0.5× 41 1.1k
Alexander M. Tsankov United States 14 1.4k 0.6× 194 0.7× 118 0.4× 67 0.4× 132 0.9× 29 1.6k
Thorsten Boroviak United Kingdom 17 1.3k 0.6× 158 0.6× 156 0.6× 125 0.8× 80 0.5× 27 1.5k

Countries citing papers authored by Tüzer Kalkan

Since Specialization
Citations

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

Fields of papers citing papers by Tüzer Kalkan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tüzer Kalkan

This figure shows the co-authorship network connecting the top 25 collaborators of Tüzer Kalkan. A scholar is included among the top collaborators of Tüzer Kalkan 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 Tüzer Kalkan. Tüzer Kalkan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Kalkan, Tüzer, Susanne Bornelöv, Carla Mulas, et al.. (2019). Complementary Activity of ETV5, RBPJ, and TCF3 Drives Formative Transition from Naive Pluripotency. Cell stem cell. 24(5). 785–801.e7. 68 indexed citations
2.
Mulas, Carla, Tüzer Kalkan, Ferdinand von Meyenn, et al.. (2019). Defined conditions for propagation and manipulation of mouse embryonic stem cells. Development. 146(6). 72 indexed citations
3.
Kalkan, Tüzer, Nelly Olova, Mila Roode, et al.. (2017). Tracking the embryonic stem cell transition from ground state pluripotency. Development. 144(7). 1221–1234. 196 indexed citations
4.
Mulas, Carla, Tüzer Kalkan, & Austin Smith. (2017). NODAL Secures Pluripotency upon Embryonic Stem Cell Progression from the Ground State. Stem Cell Reports. 9(1). 77–91. 60 indexed citations
5.
Li, Meng Amy, Paulo Amaral, Priscilla Cheung, et al.. (2017). A lncRNA fine tunes the dynamics of a cell state transition involving Lin28, let-7 and de novo DNA methylation. eLife. 6. 31 indexed citations
6.
Marks, Harold G., Hindrik H. D. Kerstens, Erik Splinter, et al.. (2016). Dynamics of gene silencing during X inactivation using allele-specific RNA-seq (vol 16, 149, 2015). Genome biology. 17. 2–3. 11 indexed citations
7.
Marks, Hendrik, Hindrik H. D. Kerstens, Tahsin Stefan Barakat, et al.. (2015). Dynamics of gene silencing during X inactivation using allele-specific RNA-seq. Genome biology. 16(1). 149–149. 91 indexed citations
8.
Kalkan, Tüzer, Peter Humphreys, Andrew Riddell, et al.. (2015). Selection and dynamics of embryonic stem cell integration into early mouse embryos. Development. 143(1). 24–34. 36 indexed citations
9.
Kalkan, Tüzer, et al.. (2014). Otx2 and Oct4 Drive Early Enhancer Activation during Embryonic Stem Cell Transition from Naive Pluripotency. Cell Reports. 7(6). 1968–1981. 100 indexed citations
10.
Herberg, Maria, Tüzer Kalkan, Ingmar Glauche, Austin Smith, & Ingo Roeder. (2014). A Model-Based Analysis of Culture-Dependent Phenotypes of mESCs. PLoS ONE. 9(3). e92496–e92496. 29 indexed citations
11.
Kalkan, Tüzer & Austin Smith. (2014). Mapping the route from naive pluripotency to lineage specification. Philosophical Transactions of the Royal Society B Biological Sciences. 369(1657). 20130540–20130540. 146 indexed citations
12.
Marks, Hendrik, Tüzer Kalkan, Roberta Menafra, et al.. (2012). The Transcriptional and Epigenomic Foundations of Ground State Pluripotency. Cell. 149(3). 590–604. 628 indexed citations breakdown →
13.
Reynolds, Nicola, Paulina A. Latos, Antony Hynes-Allen, et al.. (2012). NuRD Suppresses Pluripotency Gene Expression to Promote Transcriptional Heterogeneity and Lineage Commitment. Cell stem cell. 10(5). 583–594. 174 indexed citations
14.
Yang, Shen‐Hsi, et al.. (2012). A Genome-Wide RNAi Screen Reveals MAP Kinase Phosphatases as Key ERK Pathway Regulators during Embryonic Stem Cell Differentiation. PLoS Genetics. 8(12). e1003112–e1003112. 61 indexed citations
15.
Scherf, Nico, Maria Herberg, Thomas Zerjatke, et al.. (2012). Imaging, quantification and visualization of spatio-temporal patterning in mESC colonies under different culture conditions. Bioinformatics. 28(18). i556–i561. 24 indexed citations
16.
Wray, Jason, Tüzer Kalkan, Sandra Gómez‐López, et al.. (2011). Inhibition of glycogen synthase kinase-3 alleviates Tcf3 repression of the pluripotency network and increases embryonic stem cell resistance to differentiation. Nature Cell Biology. 13(7). 838–845. 400 indexed citations
17.
Wray, Jason, Tüzer Kalkan, & Austin Smith. (2010). The ground state of pluripotency. Biochemical Society Transactions. 38(4). 1027–1032. 265 indexed citations
18.
Wray, Jason, Tüzer Kalkan, & Austin Smith. (2010). Revolutionizing Drug Discovery with Stem Cell Technology. 1 indexed citations
19.
Kalkan, Tüzer, Yasuno Iwasaki, Chong Yon Park, & Gerald H. Thomsen. (2009). Tumor Necrosis Factor-Receptor–associated Factor-4 Is a Positive Regulator of Transforming Growth Factor-β Signaling That Affects Neural Crest Formation. Molecular Biology of the Cell. 20(14). 3436–3450. 41 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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