Kai Jaquet

1.2k total citations
34 papers, 841 citations indexed

About

Kai Jaquet is a scholar working on Genetics, Molecular Biology and Surgery. According to data from OpenAlex, Kai Jaquet has authored 34 papers receiving a total of 841 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 12 papers in Molecular Biology and 11 papers in Surgery. Recurrent topics in Kai Jaquet's work include Mesenchymal stem cell research (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Electrospun Nanofibers in Biomedical Applications (8 papers). Kai Jaquet is often cited by papers focused on Mesenchymal stem cell research (11 papers), Tissue Engineering and Regenerative Medicine (10 papers) and Electrospun Nanofibers in Biomedical Applications (8 papers). Kai Jaquet collaborates with scholars based in Germany, Hungary and Netherlands. Kai Jaquet's co-authors include Korff Krause, Karl‐Heinz Kück, Hans Kreipe, Stephan Geidel, Parwaresch Mr, Carsten Schneider, Sigrid Boczor, HJ Radzun, Klaus Heidorn and Axel R. Zander and has published in prestigious journals such as Nucleic Acids Research, Blood and European Heart Journal.

In The Last Decade

Kai Jaquet

30 papers receiving 820 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kai Jaquet Germany 15 333 276 264 206 144 34 841
David L. Amrani United States 13 345 1.0× 201 0.7× 124 0.5× 307 1.5× 106 0.7× 24 921
Nira Varda‐Bloom Israel 14 363 1.1× 149 0.5× 134 0.5× 140 0.7× 192 1.3× 40 804
Korff Krause Germany 17 236 0.7× 196 0.7× 186 0.7× 278 1.3× 476 3.3× 36 1.1k
Zdeněk Kořı́stek Czechia 16 220 0.7× 262 0.9× 335 1.3× 193 0.9× 78 0.5× 71 746
Josef Mueller‐Hoecker Germany 16 333 1.0× 213 0.8× 87 0.3× 340 1.7× 222 1.5× 24 1.0k
Wei Xie United States 17 370 1.1× 165 0.6× 203 0.8× 137 0.7× 70 0.5× 55 986
Martin Klabusay Czechia 14 219 0.7× 339 1.2× 53 0.2× 219 1.1× 94 0.7× 50 708
Marc‐Michael Zaruba Austria 16 502 1.5× 245 0.9× 87 0.3× 407 2.0× 279 1.9× 39 1.1k
Mary Rivera United States 3 555 1.7× 207 0.8× 233 0.9× 135 0.7× 54 0.4× 3 894
Valentina Zernetkina United States 11 213 0.6× 388 1.4× 75 0.3× 229 1.1× 62 0.4× 20 740

Countries citing papers authored by Kai Jaquet

Since Specialization
Citations

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

Fields of papers citing papers by Kai Jaquet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Jaquet

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Jaquet. A scholar is included among the top collaborators of Kai Jaquet 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 Kai Jaquet. Kai Jaquet 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.
Paitazoglou, Christina, Martin Bergmann, Bojan Vrtovec, et al.. (2019). Rationale and Design of the European Multicentre Study on Stem Cell Therapy in IschEmic Non-Treatable Cardiac diseasE (SCIENCE). European Journal of Heart Failure. 21(8). 1032–1041. 42 indexed citations
2.
Heeger, Christian‐Hendrik, Kai Jaquet, Hölger Thiele, et al.. (2012). Percutaneous, transendocardial injection of bone marrow-derived mononuclear cells in heart failure patients following acute ST-elevation myocardial infarction: ALSTER-Stem Cell trial. EuroIntervention. 8(6). 732–742. 14 indexed citations
3.
Brunswig‐Spickenheier, Bärbel, Christof Westenfelder, Achim D. Gruber, et al.. (2010). Limited Immune-Modulating Activity of Porcine Mesenchymal Stromal Cells Abolishes Their Protective Efficacy in Acute Kidney Injury. Stem Cells and Development. 19(5). 719–729. 21 indexed citations
4.
Bergmann, Martin, et al.. (2010). Aktuelle Datenlage zur interventionellen, intramyokardialen Stammzelltherapie bei ischämischer Kardiomyopathie. Herz. 35(5). 317–323. 3 indexed citations
5.
6.
Schneider, Carsten, Kai Jaquet, Stephan Geidel, et al.. (2009). Transplantation of Bone Marrow-Derived Stem Cells Improves Myocardial Diastolic Function: Strain Rate Imaging in a Model of Hibernating Myocardium. Journal of the American Society of Echocardiography. 22(10). 1180–1189. 18 indexed citations
7.
Krause, Korff, Carsten Schneider, Claudia Lange, et al.. (2009). Endocardial Electrogram Analysis after Intramyocardial Injection of Mesenchymal Stem Cells in the Chronic Ischemic Myocardium. Pacing and Clinical Electrophysiology. 32(10). 1319–1328. 10 indexed citations
8.
Krause, Korff, et al.. (2009). Percutaneous intramyocardial stem cell injection in patients with acute myocardial infarction: first-in-man study. Heart. 95(14). 1145–1152. 58 indexed citations
9.
Schneider, C, Kai Jaquet, Rainer Malisius, et al.. (2007). Attenuation of cardiac remodelling by endocardial injection of erythropoietin: ultrasonic strain-rate imaging in a model of hibernating myocardium. European Heart Journal. 28(4). 499–509. 21 indexed citations
10.
Krause, Korff, Kai Jaquet, Stephan Geidel, et al.. (2006). Percutaneous Endocardial Injection of Erythropoietin: Assessment of Cardioprotection by Electromechanical Mapping. European Journal of Heart Failure. 8(5). 443–450. 20 indexed citations
11.
Jaquet, Kai, Korff Krause, Stephan Geidel, et al.. (2005). Reduction of Myocardial Scar Size after Implantation of Mesenchymal Stem Cells in Rats: What Is the Mechanism?. Stem Cells and Development. 14(3). 299–309. 57 indexed citations
12.
Lamberts, Regis R., Nicky M. Boontje, Attila Borbély, et al.. (2005). Functional effects of protein kinase C-mediated myofilament phosphorylation in human myocardium. Cardiovascular Research. 69(4). 876–887. 68 indexed citations
13.
14.
Jaquet, Kai, et al.. (2002). Erythropoietin and VEGF Exhibit Equal Angiogenic Potential. Microvascular Research. 64(2). 326–333. 275 indexed citations
15.
Ramp, U., et al.. (1998). Acquisition of TGF-beta 1 Resistance: An Important Progression Factor in Human Renal Cell Carcinoma. The Journal of Urology. 159(2S). 620–620. 6 indexed citations
16.
Ramp, Uwe, Kai Jaquet, Petra Reinecke, et al.. (1997). Functional Intactness of Stimulatory and Inhibitory Autocrine Loops in Human Renal Carcinoma Cell Lines of the Clear Cell Type. The Journal of Urology. 2345–2350. 2 indexed citations
17.
Kalinski, Thomas, et al.. (1997). An optimized electroporation protocol for transfection of sensitive cell lines using basic laboratory equipment. Biotechnology Techniques. 11(10). 717–722. 2 indexed citations
18.
Kreipe, Hans, et al.. (1991). Increased Methylation of the <i>c-fms</i>Protooncogene in Acute Myelomonocytic Leukemias. Pathobiology. 59(4). 293–298. 13 indexed citations
19.
Parwaresch, M. R., et al.. (1990). M-CSF and M-CSF-receptor gene expression in acute myelomonocytic leukemias. Leukemia Research. 14(1). 27–37. 23 indexed citations
20.
Jaquet, Kai, et al.. (1989). A BglII RFLP demonstrated for the II-3 gene in normal human blood cells and leukemias. Nucleic Acids Research. 17(9). 3620–3620. 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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