C. Kozany

2.5k total citations
24 papers, 2.0k citations indexed

About

C. Kozany is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Behavioral Neuroscience. According to data from OpenAlex, C. Kozany has authored 24 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 5 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Behavioral Neuroscience. Recurrent topics in C. Kozany's work include Signaling Pathways in Disease (15 papers), Heat shock proteins research (9 papers) and Mitochondrial Function and Pathology (4 papers). C. Kozany is often cited by papers focused on Signaling Pathways in Disease (15 papers), Heat shock proteins research (9 papers) and Mitochondrial Function and Pathology (4 papers). C. Kozany collaborates with scholars based in Germany, United States and Switzerland. C. Kozany's co-authors include Felix Hausch, Kai Hell, Walter Neupert, Nadia Terziyska, Johannes M. Herrmann, Nikola Mesecke, Andreas Bracher, Frank Baumann, Dejana Mokranjac and S. Gaali and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

C. Kozany

24 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Kozany Germany 21 1.7k 254 185 184 145 24 2.0k
Yosihiro Yasumura Japan 18 1.1k 0.6× 100 0.4× 326 1.8× 498 2.7× 100 0.7× 49 2.0k
Irina Yu. Petrushanko Russia 21 832 0.5× 120 0.5× 29 0.2× 63 0.3× 90 0.6× 79 1.4k
Fai Siu United States 15 1.9k 1.1× 286 1.1× 16 0.1× 179 1.0× 113 0.8× 16 2.2k
C. Parthier Germany 18 798 0.5× 55 0.2× 96 0.5× 172 0.9× 135 0.9× 32 1.2k
Wuyan Chen China 26 1.1k 0.7× 47 0.2× 143 0.8× 336 1.8× 64 0.4× 42 1.5k
Phuong Nguyen United States 22 1.4k 0.8× 81 0.3× 25 0.1× 455 2.5× 358 2.5× 53 2.3k
Hideki Shimizu Japan 24 450 0.3× 106 0.4× 53 0.3× 76 0.4× 90 0.6× 93 1.6k
Andrea Calderan Italy 18 611 0.4× 117 0.5× 31 0.2× 43 0.2× 92 0.6× 59 1.1k
Kyle P. Chiang United States 20 886 0.5× 125 0.5× 30 0.2× 118 0.6× 180 1.2× 25 1.7k
Richard A. Jungmann United States 22 1.6k 1.0× 201 0.8× 21 0.1× 139 0.8× 242 1.7× 55 2.2k

Countries citing papers authored by C. Kozany

Since Specialization
Citations

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

Fields of papers citing papers by C. Kozany

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Kozany

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

All Works

20 of 20 papers shown
1.
Hartmann, Jakob, Klaus V. Wagner, S. Gaali, et al.. (2015). Pharmacological Inhibition of the Psychiatric Risk Factor FKBP51 Has Anxiolytic Properties. Journal of Neuroscience. 35(24). 9007–9016. 75 indexed citations
2.
Riebold, Mathias, C. Kozany, Lee Freiburger, et al.. (2015). A C-terminal HSP90 inhibitor restores glucocorticoid sensitivity and relieves a mouse allograft model of Cushing disease. Nature Medicine. 21(3). 276–280. 83 indexed citations
3.
Pomplun, Sebastian, Yansong Wang, Alexander Kirschner, et al.. (2014). Rational Design and Asymmetric Synthesis of Potent and Neurotrophic Ligands for FK506‐Binding Proteins (FKBPs). Angewandte Chemie International Edition. 54(1). 345–348. 28 indexed citations
4.
Pomplun, Sebastian, Yansong Wang, Alexander Kirschner, et al.. (2014). Rationales Design und asymmetrische Synthese potenter neuritotropher Liganden für FK506‐bindende Proteine (FKBPs). Angewandte Chemie. 127(1). 352–355. 7 indexed citations
5.
Gaali, S., Alexander Kirschner, Serena Cuboni, et al.. (2014). Selective inhibitors of the FK506-binding protein 51 by induced fit. Nature Chemical Biology. 11(1). 33–37. 173 indexed citations
6.
Neimanis, Sonja, et al.. (2013). InterAKTions with FKBPs - Mutational and Pharmacological Exploration. PLoS ONE. 8(2). e57508–e57508. 39 indexed citations
7.
Bracher, Andreas, et al.. (2013). Crystal Structures of the Free and Ligand-Bound FK1–FK2 Domain Segment of FKBP52 Reveal a Flexible Inter-Domain Hinge. Journal of Molecular Biology. 425(22). 4134–4144. 36 indexed citations
8.
Riebold, Mathias, Marily Theodoropoulou, C. Kozany, et al.. (2013). C-terminal Hsp90-inhibitors restore glucocorticoid sensitivity in Cushing's disease. Experimental and Clinical Endocrinology & Diabetes. 121(10). 1 indexed citations
9.
Hausch, Felix, et al.. (2013). FKBPs and the Akt/mTOR pathway. Cell Cycle. 12(15). 2366–2370. 58 indexed citations
10.
Kozany, C., et al.. (2013). Large FK506-Binding Proteins Shape the Pharmacology of Rapamycin. Molecular and Cellular Biology. 33(7). 1357–1367. 105 indexed citations
11.
Bracher, Andreas, et al.. (2011). Structural characterization of the PPIase domain of FKBP51, a cochaperone of human Hsp90. Acta Crystallographica Section D Biological Crystallography. 67(6). 549–559. 57 indexed citations
12.
Gaali, S., et al.. (2011). The Chemical Biology of Immunophilin Ligands. Current Medicinal Chemistry. 18(35). 5355–5379. 50 indexed citations
13.
Lang‐Rollin, Isabelle, C. Kozany, Jürgen Zschocke, et al.. (2009). XAP2 inhibits glucocorticoid receptor activity in mammalian cells. FEBS Letters. 583(9). 1493–1498. 33 indexed citations
14.
Kozany, C., et al.. (2009). Fluorescent Probes to Characterise FK506‐Binding Proteins. ChemBioChem. 10(8). 1402–1410. 73 indexed citations
15.
Terziyska, Nadia, Barbara Grumbt, C. Kozany, & Kai Hell. (2008). Structural and Functional Roles of the Conserved Cysteine Residues of the Redox-regulated Import Receptor Mia40 in the Intermembrane Space of Mitochondria. Journal of Biological Chemistry. 284(3). 1353–1363. 69 indexed citations
16.
Mesecke, Nikola, Nadia Terziyska, C. Kozany, et al.. (2005). A Disulfide Relay System in the Intermembrane Space of Mitochondria that Mediates Protein Import. Cell. 121(7). 1059–1069. 464 indexed citations
17.
Kozany, C., Dejana Mokranjac, Martin Sichting, Walter Neupert, & Kai Hell. (2004). The J domain–related cochaperone Tim16 is a constituent of the mitochondrial TIM23 preprotein translocase. Nature Structural & Molecular Biology. 11(3). 234–241. 132 indexed citations
18.
Prokisch, Holger, Curt Scharfe, David Camp, et al.. (2004). Integrative Analysis of the Mitochondrial Proteome in Yeast. PLoS Biology. 2(6). e160–e160. 176 indexed citations
19.
Terziyska, Nadia, Thomas A. Lutz, C. Kozany, et al.. (2004). Mia40, a novel factor for protein import into the intermembrane space of mitochondria is able to bind metal ions. FEBS Letters. 579(1). 179–184. 150 indexed citations
20.
Ahting, Uwe, Frank E. Nargang, Nancy E. Go, et al.. (2003). Reconstituted TOM Core Complex and Tim9/Tim10 Complex of Mitochondria Are Sufficient for Translocation of the ADP/ATP Carrier across Membranes. Molecular Biology of the Cell. 15(3). 1445–1458. 57 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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