Klaus Pfizenmaier

20.6k total citations · 2 hit papers
253 papers, 17.3k citations indexed

About

Klaus Pfizenmaier is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Klaus Pfizenmaier has authored 253 papers receiving a total of 17.3k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Immunology, 107 papers in Molecular Biology and 55 papers in Oncology. Recurrent topics in Klaus Pfizenmaier's work include Immunotherapy and Immune Responses (50 papers), T-cell and B-cell Immunology (48 papers) and Immune Response and Inflammation (46 papers). Klaus Pfizenmaier is often cited by papers focused on Immunotherapy and Immune Responses (50 papers), T-cell and B-cell Immunology (48 papers) and Immune Response and Inflammation (46 papers). Klaus Pfizenmaier collaborates with scholars based in Germany, United States and Netherlands. Klaus Pfizenmaier's co-authors include Peter Scheurich, Harald Wajant, Martin Röllinghoff, Hermann Wagner, Martin Krönke, Matthias Grell, Angelika Haußer, Roland E. Kontermann, Peter Störz and Ulrich Eisel and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Klaus Pfizenmaier

252 papers receiving 16.7k citations

Hit Papers

Tumor necrosis factor signaling 1995 2026 2005 2015 2003 1995 500 1000 1.5k

Peers

Klaus Pfizenmaier
Clifford A. Lowell United States
John H. Kehrl United States
Steven Dower United States
Jacques J. Peschon United States
William L. Farrar United States
Roy A. Black United States
Douglas Pat Cerretti United States
Clifford A. Lowell United States
Klaus Pfizenmaier
Citations per year, relative to Klaus Pfizenmaier Klaus Pfizenmaier (= 1×) peers Clifford A. Lowell

Countries citing papers authored by Klaus Pfizenmaier

Since Specialization
Citations

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

Fields of papers citing papers by Klaus Pfizenmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Klaus Pfizenmaier

This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Pfizenmaier. A scholar is included among the top collaborators of Klaus Pfizenmaier 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 Klaus Pfizenmaier. Klaus Pfizenmaier 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.
Boerema, Ate S., Roman Fischer, Roland E. Kontermann, et al.. (2025). Single intracerebroventricular TNFR2 agonist injection impacts remyelination in the cuprizone model. Journal of Molecular Medicine. 103(7). 795–807.
2.
Fabre, Myriam, Cristina Suárez Ferrer, Bruno Bockorny, et al.. (2020). OMTX705, a Novel FAP-Targeting ADC Demonstrates Activity in Chemotherapy and Pembrolizumab-Resistant Solid Tumor Models. Clinical Cancer Research. 26(13). 3420–3430. 74 indexed citations
3.
Fischer, Roman, Maëlle Duffey, Nathalie Peters, et al.. (2018). Selective Activation of Tumor Necrosis Factor Receptor II Induces Antiinflammatory Responses and Alleviates Experimental Arthritis. Arthritis & Rheumatology. 70(5). 722–735. 39 indexed citations
4.
Hutt, Meike, Oliver Seifert, Martin Siegemund, et al.. (2017). Superior Properties of Fc-comprising scTRAIL Fusion Proteins. Molecular Cancer Therapeutics. 16(12). 2792–2802. 34 indexed citations
5.
Seifert, Oliver, et al.. (2013). Tetravalent Antibody–scTRAIL Fusion Proteins with Improved Properties. Molecular Cancer Therapeutics. 13(1). 101–111. 35 indexed citations
6.
Buck, Miriam, et al.. (2010). Antiestrogens Induce Transforming Growth Factor β–Mediated Immunosuppression in Breast Cancer. Cancer Research. 70(4). 1314–1322. 65 indexed citations
7.
Fugmann, Tim, et al.. (2007). Regulation of secretory transport by protein kinase D–mediated phosphorylation of the ceramide transfer protein. The Journal of Cell Biology. 178(1). 15–22. 167 indexed citations
8.
Fontaine, Sharon La, et al.. (2002). Neurodegenerative and neuroprotective effects of tumor necrosis factor (TNF) in retinal ischemia. Journal of Neuroscience. 22(7). 1–7. 15 indexed citations
9.
Schmidt, Alexej, Jörg F. Rippmann, Bodo Brocks, et al.. (2001). Human antibody derivatives against the fibroblast activation protein for tumor stroma targeting of carcinomas. International Journal of Cancer. 92(2). 240–248. 1 indexed citations
10.
Störz, Peter, Heike Döppler, A. Wernig, Klaus Pfizenmaier, & Gertraud Müller. (1999). Cross‐talk mechanisms in the development of insulin resistance of skeletal muscle cells. European Journal of Biochemistry. 266(1). 17–25. 85 indexed citations
11.
Wajant, Harald, Sarah Forster, Dirk Selmar, Franz Effenberger, & Klaus Pfizenmaier. (1995). Purification and Characterization of a Novel (R)-Mandelonitrile Lyase from the Fern Phlebodium aureum. PLANT PHYSIOLOGY. 109(4). 1231–1238. 47 indexed citations
12.
Schmid, Esther F., et al.. (1995). Signaling by E-selectin and ICAM-1 Induces Endothelial Tissue Factor Production via Autocrine Secretion of Platelet-Activating Factor and Tumor Necrosis Factor α. Journal of Interferon & Cytokine Research. 15(9). 819–825. 31 indexed citations
14.
Seliger, Barbara, George R. Stark, & Klaus Pfizenmaier. (1988). Tumor necrosis factor- alpha affects LTR-controlled oncogene expression in transformed mouse fibroblasts at the post-transcriptional level.. The Journal of Immunology. 141(6). 2138–2144. 8 indexed citations
15.
Schütze, Stefan, Peter Scheurich, C Schlüter, et al.. (1988). Tumor necrosis factor-induced changes of gene expression in U937 cells. Differentiation-dependent plasticity of the responsive state.. The Journal of Immunology. 140(9). 3000–3005. 53 indexed citations
16.
Krönke, Martin, Peter Scheurich, Klaus Pfizenmaier, Martin Röllinghoff, & Hermann Wagner. (1982). T-T cell interactions during in vitro cytotoxic T lymphocyte responses. V. Precursor frequencies and specificity of alloreactive helper T cells.. The Journal of Experimental Medicine. 156(1). 41–54. 29 indexed citations
18.
Hardt, Cornelia, Klaus Pfizenmaier, Martin Röllinghoff, J Klein, & Hermann Wagner. (1980). Alloreactive and H-2-restricted Lyt 23 cytotoxic T lymphocytes derive from a common pool of antecedent Lyt 123 precursors.. The Journal of Experimental Medicine. 152(5). 1413–1418. 24 indexed citations
19.
Pfizenmaier, Klaus, et al.. (1980). Anti H-2Dd alloreactivity mediated by herpes-simplex-virus specific cytotoxic H-2k T lymphocytes is associated with H-2Dk. Immunogenetics. 10(1-4). 395–404. 15 indexed citations
20.
Pfizenmaier, Klaus, et al.. (1976). Cell-mediated immunity in lumphocytic choriomeningitis. I. The specificity of the cytotoxic T lymphocytes.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 151(3). 224–36. 9 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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