Michael Kapinsky

2.0k total citations
14 papers, 898 citations indexed

About

Michael Kapinsky is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Michael Kapinsky has authored 14 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Immunology, 7 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Michael Kapinsky's work include Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Michael Kapinsky is often cited by papers focused on Immune Cell Function and Interaction (6 papers), T-cell and B-cell Immunology (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). Michael Kapinsky collaborates with scholars based in Germany, United States and Austria. Michael Kapinsky's co-authors include Gerd Schmitz, Evelyn Orsó, Christa Büchler, Rando Allikmets, Wolfgang E. Kaminski, Wolfgang Drobnik, Gerhard Liebisch, Michael Dean, Mustafa Özçürümez and Jochen Klucken and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Michael Kapinsky

14 papers receiving 880 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Kapinsky Germany 8 450 426 366 203 99 14 898
Jina Wang China 15 218 0.5× 613 1.4× 69 0.2× 174 0.9× 120 1.2× 33 1.0k
G.J. Brunn United States 8 90 0.2× 800 1.9× 162 0.4× 214 1.1× 93 0.9× 8 1.1k
Thomas Grünberger Austria 15 152 0.3× 144 0.3× 188 0.5× 124 0.6× 47 0.5× 29 689
Olivier Chambenoit United States 10 784 1.7× 691 1.6× 530 1.4× 304 1.5× 97 1.0× 23 1.3k
Benjamin Stoelcker Germany 18 83 0.2× 403 0.9× 130 0.4× 294 1.4× 87 0.9× 25 904
Mathijs Groeneweg Netherlands 13 107 0.2× 270 0.6× 72 0.2× 322 1.6× 169 1.7× 30 753
Eun-Jin Yeo United States 8 97 0.2× 482 1.1× 144 0.4× 208 1.0× 305 3.1× 9 909
Jack Leslie United Kingdom 17 93 0.2× 396 0.9× 184 0.5× 174 0.9× 208 2.1× 34 1.1k
Guoshan Ding China 17 180 0.4× 903 2.1× 181 0.5× 268 1.3× 777 7.8× 54 1.6k
Megan Garrity-Park United States 13 188 0.4× 474 1.1× 198 0.5× 146 0.7× 144 1.5× 19 968

Countries citing papers authored by Michael Kapinsky

Since Specialization
Citations

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

Fields of papers citing papers by Michael Kapinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Kapinsky

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

All Works

14 of 14 papers shown
1.
Holl, Eda K., Michael Kapinsky, & Anis Larbi. (2025). An Update on Flow Cytometry Analysis of Hematological Malignancies: Focus on Standardization. Cancers. 17(12). 2045–2045. 2 indexed citations
2.
Riquelme, Paloma, Robert Lohmayer, Víctor J. López‐Madrona, et al.. (2024). Restricting datasets to classifiable samples augments discovery of immune disease biomarkers. Nature Communications. 15(1). 5417–5417. 4 indexed citations
3.
Wijer, Lisa Van de, Bram van Cranenbroek, Wouter A. van der Heijden, et al.. (2022). Comprehensive phenotyping of circulating immune cell subsets in people living with HIV. Journal of Immunological Methods. 507. 113307–113307. 5 indexed citations
4.
Riquelme, Paloma, Michael Kapinsky, Hans J. Schlitt, et al.. (2022). External validation of biomarkers for immune-related adverse events after immune checkpoint inhibition. Frontiers in Immunology. 13. 1011040–1011040. 8 indexed citations
5.
Blache, Ulrich, Andreas Boldt, Michael Kapinsky, et al.. (2021). Advanced Flow Cytometry Assays for Immune Monitoring of CAR-T Cell Applications. Frontiers in Immunology. 12. 658314–658314. 39 indexed citations
6.
Kapinsky, Michael, Norbert Ahrens, Paloma Riquelme, et al.. (2021). Development of a Flow Cytometry Assay to Predict Immune Checkpoint Blockade-Related Complications. Frontiers in Immunology. 12. 765644–765644. 6 indexed citations
7.
Lacaille, Vashti & Michael Kapinsky. (2021). The Nanobody JK36 circumvents the epitope overlapping commonly observed between therapeutic anti-CD38 antibodies and commercially available analytical mouse antibodies. The Journal of Immunology. 206(1_Supplement). 59.24–59.24. 1 indexed citations
8.
Streitz, Mathias, Tewfik Miloud, Michael Kapinsky, et al.. (2013). Standardization of whole blood immune phenotype monitoring for clinical trials: panels and methods from the ONE study. PubMed. 2(1). 17–17. 153 indexed citations
9.
Bremm, Melanie, Sabine Huenecke, Thomas Lehrnbecher, et al.. (2011). Advanced flowcytometric analysis of regulatory T cells: CD127 downregulation early post stem cell transplantation and altered Treg/CD3+CD4+-ratio in severe GvHD or relapse. Journal of Immunological Methods. 373(1-2). 36–44. 17 indexed citations
10.
Buechler, Christa, et al.. (2001). Adipophilin is a sensitive marker for lipid loading in human blood monocytes. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1532(1-2). 97–104. 76 indexed citations
11.
Ritter, Mirko, Christa Buechler, Michael Kapinsky, & Gerd Schmitz. (2001). Interaction of CD163 with the regulatory subunit of casein kinase II (CKII) and dependence of CD163 signaling on CKII and protein kinase C. European Journal of Immunology. 31(4). 999–1009. 62 indexed citations
12.
Kapinsky, Michael, E. Orsó, Gerhard J. Schütz, et al.. (2001). The Cholesterol Content of the Plasma Membrane as a Regulator of CD14 Dependent Signal Transduction. 2(2). 113–115. 1 indexed citations
13.
Kapinsky, Michael, et al.. (2001). Enzymatically Degraded LDL Preferentially Binds to CD14 high CD16 + Monocytes and Induces Foam Cell Formation Mediated Only in Part by the Class B Scavenger-Receptor CD36. Arteriosclerosis Thrombosis and Vascular Biology. 21(6). 1004–1010. 58 indexed citations
14.
Klucken, Jochen, Christa Büchler, Evelyn Orsó, et al.. (2000). ABCG1 (ABC8), the human homolog of theDrosophila whitegene, is a regulator of macrophage cholesterol and phospholipid transport. Proceedings of the National Academy of Sciences. 97(2). 817–822. 466 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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