Kai Kappert

4.9k total citations
98 papers, 2.3k citations indexed

About

Kai Kappert is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Kai Kappert has authored 98 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 17 papers in Immunology and 16 papers in Cancer Research. Recurrent topics in Kai Kappert's work include Protein Tyrosine Phosphatases (19 papers), Cell Adhesion Molecules Research (9 papers) and Galectins and Cancer Biology (9 papers). Kai Kappert is often cited by papers focused on Protein Tyrosine Phosphatases (19 papers), Cell Adhesion Molecules Research (9 papers) and Galectins and Cancer Biology (9 papers). Kai Kappert collaborates with scholars based in Germany, Sweden and Japan. Kai Kappert's co-authors include Arne Östman, Ulrich Kintscher, Eckart Fleck, Stephan Rosenkranz, Philipp Stawowy, R Tauber, Thomas Unger, Evren Caglayan, Heike Meýborg and Olli Leppänen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

In The Last Decade

Kai Kappert

93 papers receiving 2.3k 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 Kappert Germany 29 1.0k 483 369 303 275 98 2.3k
Takahide Kohro Japan 27 1.1k 1.1× 360 0.7× 396 1.1× 477 1.6× 329 1.2× 88 2.5k
Anders Mälarstig Sweden 23 623 0.6× 393 0.8× 364 1.0× 414 1.4× 260 0.9× 52 2.2k
Waichi Sato Japan 30 988 1.0× 406 0.8× 303 0.8× 336 1.1× 144 0.5× 79 2.9k
Jan Menne Germany 25 1.2k 1.2× 664 1.4× 399 1.1× 378 1.2× 188 0.7× 68 3.2k
Tong Yin China 25 1.1k 1.1× 379 0.8× 383 1.0× 415 1.4× 194 0.7× 102 3.1k
György Paragh Hungary 30 742 0.7× 304 0.6× 419 1.1× 499 1.6× 312 1.1× 198 3.0k
Matthijs Moerland Netherlands 26 567 0.6× 421 0.9× 222 0.6× 382 1.3× 153 0.6× 111 1.9k
Zhanzheng Zhao China 25 760 0.8× 296 0.6× 204 0.6× 210 0.7× 248 0.9× 188 2.3k
Dilip K. Deb United States 31 1.1k 1.1× 586 1.2× 182 0.5× 281 0.9× 299 1.1× 41 3.3k
Andreas H. Wagner Germany 29 766 0.8× 708 1.5× 564 1.5× 662 2.2× 214 0.8× 97 2.9k

Countries citing papers authored by Kai Kappert

Since Specialization
Citations

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

Fields of papers citing papers by Kai Kappert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Kappert

This figure shows the co-authorship network connecting the top 25 collaborators of Kai Kappert. A scholar is included among the top collaborators of Kai Kappert 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 Kappert. Kai Kappert 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
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Phan, Minh D., Burcin Özdirik, Hilmar Berger, et al.. (2025). Soluble Urokinase Plasminogen Activator Receptor Predicts Survival and Hepatic Decompensation in Advanced Hepatocellular Carcinoma. Liver International. 45(6). e70121–e70121. 1 indexed citations
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Rosada, Adrian, et al.. (2024). Underfilled blood collection tubes as pathologizing factor for measured laboratory parameters in older patients. Journal of the American Geriatrics Society. 72(5). 1553–1556. 1 indexed citations
5.
Somasundaram, Rajan, et al.. (2024). Blood calprotectin as a biomarker for infection and sepsis – the prospective CASCADE trial. BMC Infectious Diseases. 24(1). 496–496. 4 indexed citations
6.
Rath, Michaela, Mareike Schell, Kai Kappert, et al.. (2021). HSP60 reduction protects against diet-induced obesity by modulating energy metabolism in adipose tissue. Molecular Metabolism. 53. 101276–101276. 19 indexed citations
7.
Schrezenmeier, Eva, Léon Bergfeld, David Hillus, et al.. (2021). Immunogenicity of COVID-19 Tozinameran Vaccination in Patients on Chronic Dialysis. Frontiers in Immunology. 12. 690698–690698. 40 indexed citations
8.
Bauer, Wolfgang, Marcus Weber, Rajan Somasundaram, et al.. (2021). Plasma Proteome Fingerprints Reveal Distinctiveness and Clinical Outcome of SARS-CoV-2 Infection. Viruses. 13(12). 2456–2456. 11 indexed citations
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Bauer, Wolfgang, Nick Neuwinger, Lutz Kaufner, et al.. (2021). A Matter of Caution: Coagulation Parameters in COVID-19 Do Not Differ from Patients with Ruled-Out SARS-CoV-2 Infection in the Emergency Department. SHILAP Revista de lepidopterología. 5(1). e43–e55. 11 indexed citations
11.
Djureinovic, Dijana, et al.. (2019). Multiplex plasma protein profiling identifies novel markers to discriminate patients with adenocarcinoma of the lung. BMC Cancer. 19(1). 741–741. 11 indexed citations
12.
Neuwinger, Nick, et al.. (2019). Underfilling of vacuum blood collection tubes leads to increased lactate dehydrogenase activity in serum and heparin plasma samples. Clinical Chemistry and Laboratory Medicine (CCLM). 58(2). 213–221. 6 indexed citations
13.
Horie, Masafumi, Yoko Yamaguchi, Akira Saito, et al.. (2016). Transcriptome analysis of periodontitis-associated fibroblasts by CAGE sequencing identified DLX5 and RUNX2 long variant as novel regulators involved in periodontitis. Scientific Reports. 6(1). 33666–33666. 19 indexed citations
14.
Freyhaus, Henrik ten, Markus Dagnell, Marius Vantler, et al.. (2010). Hypoxia Enhances Platelet-derived Growth Factor Signaling in the Pulmonary Vasculature by Down-Regulation of Protein Tyrosine Phosphatases. American Journal of Respiratory and Critical Care Medicine. 183(8). 1092–1102. 70 indexed citations
15.
Zimmermann, Mathias, Kai Kappert, & Alexandru C. Stan. (2010). U373-MG cells express PepT2 and accumulate the fluorescently tagged dipeptide-derivative β-Ala-Lys-Nɛ-AMCA. Neuroscience Letters. 486(3). 174–178. 5 indexed citations
16.
Tabet, Fatiha, Ernesto L. Schiffrin, Gláucia E. Callera, et al.. (2008). Redox-Sensitive Signaling by Angiotensin II Involves Oxidative Inactivation and Blunted Phosphorylation of Protein Tyrosine Phosphatase SHP-2 in Vascular Smooth Muscle Cells From SHR. Circulation Research. 103(2). 149–158. 86 indexed citations
17.
Micke, Patrick, Kai Kappert, Mitsuhiro Ohshima, et al.. (2007). In Situ Identification of Genes Regulated Specifically in Fibroblasts of Human Basal Cell Carcinoma. Journal of Investigative Dermatology. 127(6). 1516–1523. 49 indexed citations
18.
Persson, C., Tobias Sjöblom, Arnoud Groen, et al.. (2004). Preferential oxidation of the second phosphatase domain of receptor-like PTP-α revealed by an antibody against oxidized protein tyrosine phosphatases. Proceedings of the National Academy of Sciences. 101(7). 1886–1891. 107 indexed citations
19.
Blaschke, Florian, Philipp Stawowy, Kai Kappert, et al.. (2002). Angiotensin II-augmented migration of VSMCs towards PDGF-BB involves Pyk2 and ERK 1/2 activation. Basic Research in Cardiology. 97(4). 334–342. 21 indexed citations
20.
Kappert, Kai, et al.. (2000). Angiotensin II and PDGF-BB Stimulate β 1 -Integrin–Mediated Adhesion and Spreading in Human VSMCs. Hypertension. 35(1). 255–261. 36 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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