Peter M. Kloetzel

4.6k total citations
63 papers, 3.7k citations indexed

About

Peter M. Kloetzel is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Peter M. Kloetzel has authored 63 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Molecular Biology, 24 papers in Oncology and 24 papers in Immunology. Recurrent topics in Peter M. Kloetzel's work include Ubiquitin and proteasome pathways (41 papers), Peptidase Inhibition and Analysis (17 papers) and Immunotherapy and Immune Responses (15 papers). Peter M. Kloetzel is often cited by papers focused on Ubiquitin and proteasome pathways (41 papers), Peptidase Inhibition and Analysis (17 papers) and Immunotherapy and Immune Responses (15 papers). Peter M. Kloetzel collaborates with scholars based in Germany, United States and United Kingdom. Peter M. Kloetzel's co-authors include Thomas Ruppert, Marcus Groettrup, Christian Haass, Sybille Standera, Lothar Kuehn, Michele Mishto, Juliane Liepe, Ralf Stohwasser, Hansjörg Schild and Hans-Georg Rammensee and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Peter M. Kloetzel

62 papers receiving 3.6k citations

Peers

Peter M. Kloetzel

IMMUN

ONCOL

EPIDE

Colette F. Gramm United States

Lisa Rothstein United States

Marissa Vignali United States

Luis C. Antón Spain

Jianlin Gong United States

Stephen C. Bunnell United States

Annemarthe G. van der Veen United Kingdom

Ivan Matić Germany

Jens Dhein Germany

Reinhard Schwartz‐Albiez Germany

Colette F. Gramm United States

Peter M. Kloetzel

2.8k ×1.0

1.3k ×0.7

IMMUN

751 ×0.7

ONCOL

714 ×1.5

542 ×1.2

EPIDE

Citations per year, relative to Peter M. Kloetzel Peter M. Kloetzel (= 1×) peers Colette F. Gramm

Countries citing papers authored by Peter M. Kloetzel

Since Specialization

Citations

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

Fields of papers citing papers by Peter M. Kloetzel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter M. Kloetzel. 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 Peter M. Kloetzel. The network helps show where Peter M. Kloetzel may publish in the future.

Co-authorship network of co-authors of Peter M. Kloetzel

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

All Works

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20 of 20 papers shown

Kloetzel, Peter M., et al.. (2021). High-affinity T-cell receptor specific for MyD88 L265P mutation for adoptive T-cell therapy of B-cell malignancies. Journal for ImmunoTherapy of Cancer. 9(7). e002410–e002410. 11 indexed citations

Willimsky, Gerald, George Papafotiou, Andrean Goede, et al.. (2021). In vitro proteasome processing of neo-splicetopes does not predict their presentation in vivo. eLife. 10. 12 indexed citations

Liepe, Juliane, Fabio Marino, John Sidney, et al.. (2016). A large fraction of HLA class I ligands are proteasome-generated spliced peptides. Science. 354(6310). 354–358. 270 indexed citations

Ebstein, Frédéric, Kathrin Textoris‐Taube, Christin Keller, et al.. (2016). Proteasomes generate spliced epitopes by two different mechanisms and as efficiently as non-spliced epitopes. Scientific Reports. 6(1). 24032–24032. 79 indexed citations

Textoris‐Taube, Kathrin, Christin Keller, Juliane Liepe, et al.. (2015). The T210M Substitution in the HLA-a*02:01 gp100 Epitope Strongly Affects Overall Proteasomal Cleavage Site Usage and Antigen Processing. Journal of Biological Chemistry. 290(51). 30417–30428. 20 indexed citations

Calis, Jorg J. A., Peter Reinink, Christin Keller, Peter M. Kloetzel, & Can Keşmir. (2014). Role of peptide processing predictions in T cell epitope identification: contribution of different prediction programs. Immunogenetics. 67(2). 85–93. 34 indexed citations

Opitz, E., Annett Koch, Karin Klingel, et al.. (2011). Impairment of Immunoproteasome Function by β5i/LMP7 Subunit Deficiency Results in Severe Enterovirus Myocarditis. PLoS Pathogens. 7(9). e1002233–e1002233. 72 indexed citations

Shin, Eui‐Cheol, Ulrike Seifert, Stephen M. Feinstone, et al.. (2007). Proteasome activator and antigen-processing aminopeptidases are regulated by virus-induced type I interferon in the hepatitis C virus-infected liver (44.39). The Journal of Immunology. 178(1_Supplement). S56–S56. 17 indexed citations

Mullapudi, Srinivas, Lee Pullan, Özlem Taştan Bishop, et al.. (2004). Rearrangement of the 16S Precursor Subunits Is Essential for the Formation of the Active 20S Proteasome. Biophysical Journal. 87(6). 4098–4105. 9 indexed citations

10.

Bubeck, Anja, Uwe Reusch, Markus Wagner, et al.. (2002). The Glycoprotein gp48 of Murine Cytomegalovirus. Journal of Biological Chemistry. 277(3). 2216–2224. 23 indexed citations

11.

Dahlmann, Burkhardt, Thomas Ruppert, Peter M. Kloetzel, & Lothar Kuehn. (2001). Subtypes of 20S proteasomes from skeletal muscle. Biochimie. 83(3-4). 295–299. 63 indexed citations

12.

Sijts, Alice J.A.M., Sybille Standera, René E. M. Toes, et al.. (2000). MHC Class I Antigen Processing of an Adenovirus CTL Epitope Is Linked to the Levels of Immunoproteasomes in Infected Cells. The Journal of Immunology. 164(9). 4500–4506. 104 indexed citations

13.

Schmidtke, Gunter, Marion Schmidt, & Peter M. Kloetzel. (1997). Maturation of mammalian 20 S proteasome: purification and characterization of 13 S and 16 S proteasome precursor complexes. Journal of Molecular Biology. 268(1). 95–106. 95 indexed citations

14.

Dick, Tobias P., Thomas Ruppert, Marcus Groettrup, et al.. (1996). Coordinated Dual Cleavages Induced by the Proteasome Regulator PA28 Lead to Dominant MHC Ligands. Cell. 86(2). 253–262. 241 indexed citations

15.

Eggers, Maren, et al.. (1995). The cleavage preference of the proteasome governs the yield of antigenic peptides.. The Journal of Experimental Medicine. 182(6). 1865–1870. 98 indexed citations

16.

Billett, Michael A., et al.. (1995). Developmental Changes of the 26 S Proteasome in Abdominal Intersegmental Muscles of Manduca sexta during Programmed Cell Death. Journal of Biological Chemistry. 270(4). 1850–1858. 129 indexed citations

17.

Mykles, Donald L., George Demartino, & Peter M. Kloetzel. (1994). Proteasome Workshop at Colorado StateUniversity. PubMed. 48(5-6). 298–310. 7 indexed citations

18.

Haass, Christian, B. Pesold-Hurt, & Peter M. Kloetzel. (1990). The Drosophila PROS-29 gene is a new member of the PROS-gene family. Nucleic Acids Research. 18(13). 4018–4018. 30 indexed citations

19.

Haass, Christian & Peter M. Kloetzel. (1989). The Drosophila proteasome undergoes changes in its subunit pattern during development. Experimental Cell Research. 180(1). 243–252. 121 indexed citations

20.

Schenkel, Johannes & Peter M. Kloetzel. (1989). In vitro reconstitution of hnRNP particles. FEBS Letters. 247(1). 51–54. 2 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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