Michael Basler

4.6k total citations
75 papers, 3.7k citations indexed

About

Michael Basler is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Michael Basler has authored 75 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 46 papers in Immunology and 18 papers in Oncology. Recurrent topics in Michael Basler's work include Ubiquitin and proteasome pathways (45 papers), Immunotherapy and Immune Responses (25 papers) and Immune Cell Function and Interaction (18 papers). Michael Basler is often cited by papers focused on Ubiquitin and proteasome pathways (45 papers), Immunotherapy and Immune Responses (25 papers) and Immune Cell Function and Interaction (18 papers). Michael Basler collaborates with scholars based in Germany, Switzerland and United States. Michael Basler's co-authors include Marcus Groettrup, Christopher J. Kirk, Sarah Mundt, Khalid W. Kalim, Maries van den Broek, Carlo Moll, E.M. Huber, Ricarda Schwab, M. Groll and Wolfgang Heinemeyer and has published in prestigious journals such as Cell, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Michael Basler

74 papers receiving 3.7k 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 Basler Germany 32 2.6k 1.4k 1.1k 594 324 75 3.7k
Craig M. Walsh United States 34 1.9k 0.7× 2.1k 1.4× 564 0.5× 682 1.1× 168 0.5× 77 4.1k
Shih‐Chung Chang Taiwan 18 1.7k 0.6× 926 0.6× 698 0.6× 541 0.9× 375 1.2× 43 3.0k
Isao Hamaguchi Japan 23 1.9k 0.7× 873 0.6× 488 0.4× 366 0.6× 286 0.9× 122 3.2k
Michael J. Pinkoski United States 22 1.6k 0.6× 1.7k 1.2× 630 0.6× 486 0.8× 211 0.7× 38 3.1k
Stephan Gasser Singapore 29 1.3k 0.5× 3.2k 2.2× 1.4k 1.3× 436 0.7× 146 0.5× 50 4.4k
Leonard B. Maggi United States 22 1.9k 0.7× 1.3k 0.9× 699 0.6× 294 0.5× 145 0.4× 38 3.2k
Sue E. Knoblaugh United States 23 1.1k 0.4× 643 0.4× 706 0.6× 349 0.6× 243 0.8× 47 2.5k
Hironobu Asao Japan 35 1.4k 0.5× 2.6k 1.8× 1.2k 1.1× 314 0.5× 529 1.6× 85 4.5k
Beverly A. Mock United States 32 2.0k 0.8× 859 0.6× 619 0.6× 308 0.5× 149 0.5× 103 3.4k
Nobuo Sakaguchi Japan 37 1.9k 0.7× 2.7k 1.9× 537 0.5× 275 0.5× 207 0.6× 119 4.7k

Countries citing papers authored by Michael Basler

Since Specialization
Citations

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

Fields of papers citing papers by Michael Basler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Basler

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Basler. A scholar is included among the top collaborators of Michael Basler 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 Basler. Michael Basler 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.
Zhang, Teng, Yuan Li, Xinyu Chen, et al.. (2025). Immunoproteasome subunits are novel signatures for predicting efficacy of immunotherapy in muscle invasive bladder cancer. Journal of Translational Medicine. 23(1). 228–228. 3 indexed citations
2.
Mink, David R., et al.. (2025). Immunoproteasome Inhibition Impairs Differentiation but Not Survival of T Helper 17 Cells. Cells. 14(10). 689–689.
3.
Horvath, Dennis J. & Michael Basler. (2023). PLGA Particles in Immunotherapy. Pharmaceutics. 15(2). 615–615. 41 indexed citations
4.
Goebel, Heike, et al.. (2023). The ubiquitin-like modifier FAT10 is degraded by the 20S proteasome in vitro but not in cellulo. Life Science Alliance. 6(6). e202201760–e202201760. 4 indexed citations
5.
Koerner, Julia, et al.. (2022). Suppression of prostate cancer and amelioration of the immunosuppressive tumor microenvironment through selective immunoproteasome inhibition. OncoImmunology. 12(1). 2156091–2156091. 9 indexed citations
6.
Mellett, Mark, et al.. (2022). Immunoproteasome inhibition attenuates experimental psoriasis. Frontiers in Immunology. 13. 1075615–1075615. 4 indexed citations
7.
Basler, Michael, et al.. (2022). Immunoproteasome Inhibition Reduces the T Helper 2 Response in Mouse Models of Allergic Airway Inflammation. Frontiers in Immunology. 13. 870720–870720. 14 indexed citations
8.
Basler, Michael & Marcus Groettrup. (2020). Recent insights how combined inhibition of immuno/proteasome subunits enables therapeutic efficacy. Genes and Immunity. 21(5). 273–287. 30 indexed citations
9.
Basler, Michael, Michelle Lindström, Jacob LaStant, et al.. (2018). Co‐inhibition of immunoproteasome subunits LMP2 and LMP7 is required to block autoimmunity. EMBO Reports. 19(12). 62 indexed citations
10.
Basler, Michael, Jun Li, & Marcus Groettrup. (2018). On the role of the immunoproteasome in transplant rejection. Immunogenetics. 71(3). 263–271. 18 indexed citations
11.
Li, Jun, Michael Basler, Gerardo Álvarez-Hernández, et al.. (2017). Immunoproteasome inhibition prevents chronic antibody-mediated allograft rejection in renal transplantation. Kidney International. 93(3). 670–680. 42 indexed citations
12.
Mundt, Sarah, Michael Basler, Birgit Sawitzki, & Marcus Groettrup. (2017). No prolongation of skin allograft survival by immunoproteasome inhibition in mice. Molecular Immunology. 88. 32–37. 7 indexed citations
13.
Basler, Michael, et al.. (2015). The ubiquitin-like modifier FAT10 in antigen processing and antimicrobial defense. Molecular Immunology. 68(2). 129–132. 29 indexed citations
14.
Basler, Michael, Christopher J. Kirk, & Marcus Groettrup. (2012). The immunoproteasome in antigen processing and other immunological functions. Current Opinion in Immunology. 25(1). 74–80. 193 indexed citations
15.
Basler, Michael, Maya Dajee, Carlo Moll, Marcus Groettrup, & Christopher J. Kirk. (2010). Prevention of Experimental Colitis by a Selective Inhibitor of the Immunoproteasome. The Journal of Immunology. 185(1). 634–641. 207 indexed citations
16.
Groettrup, Marcus, Christopher J. Kirk, & Michael Basler. (2009). Proteasomes in immune cells: more than peptide producers?. Nature reviews. Immunology. 10(1). 73–78. 284 indexed citations
17.
Basler, Michael, Jacqueline Moebius, Laura A. Elenich, Marcus Groettrup, & John J. Monaco. (2006). An Altered T Cell Repertoire in MECL-1-Deficient Mice. The Journal of Immunology. 176(11). 6665–6672. 99 indexed citations
18.
19.
Khan, Selina, Albert Zimmermann, Michael Basler, Marcus Groettrup, & Hartmut Hengel. (2004). A Cytomegalovirus Inhibitor of Gamma Interferon Signaling Controls Immunoproteasome Induction. Journal of Virology. 78(4). 1831–1842. 54 indexed citations
20.
Probst, Hans Christian, Awen Gallimore, Marianne M. Martinic, et al.. (2003). Immunodominance of an Antiviral Cytotoxic T Cell Response Is Shaped by the Kinetics of Viral Protein Expression. The Journal of Immunology. 171(10). 5415–5422. 90 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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