Winfried Kammer

920 total citations
21 papers, 799 citations indexed

About

Winfried Kammer is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Winfried Kammer has authored 21 papers receiving a total of 799 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Oncology and 9 papers in Immunology. Recurrent topics in Winfried Kammer's work include Cytokine Signaling Pathways and Interactions (6 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Winfried Kammer is often cited by papers focused on Cytokine Signaling Pathways and Interactions (6 papers), T-cell and B-cell Immunology (4 papers) and Immune Cell Function and Interaction (3 papers). Winfried Kammer collaborates with scholars based in Germany, United Kingdom and United States. Winfried Kammer's co-authors include Karlheinz Friedrich, Richard Moriggl, Alfred Nordheim, Antje Lischke, Bernd Groner, Gerold Schwarz, Susanne Berchtold, Stephanie Brändlein, Walter Sebald and Martin Priemer and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Winfried Kammer

20 papers receiving 782 citations

Peers

Winfried Kammer
Gilbert Scott United States
Kyoko Kojima United States
Daniel Lottaz Switzerland
Pam Tangvoranuntakul United States
J.J. Keusch Switzerland
Siân H. Leech Switzerland
Gilbert Scott United States
Winfried Kammer
Citations per year, relative to Winfried Kammer Winfried Kammer (= 1×) peers Gilbert Scott

Countries citing papers authored by Winfried Kammer

Since Specialization
Citations

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

Fields of papers citing papers by Winfried Kammer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Winfried Kammer

This figure shows the co-authorship network connecting the top 25 collaborators of Winfried Kammer. A scholar is included among the top collaborators of Winfried Kammer 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 Winfried Kammer. Winfried Kammer 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.
Kraus, Marianne, Thomas Rückrich, Michael Reich, et al.. (2006). Activity patterns of proteasome subunits reflect bortezomib sensitivity of hematologic malignancies and are variable in primary human leukemia cells. Leukemia. 21(1). 84–92. 70 indexed citations
2.
Zimmermann, Uwe, Heike Junker, Stefan Balabanov, et al.. (2006). Comparative proteomic analysis of neoplastic and non-neoplastic germ cell tissue. Biological Chemistry. 387(4). 437–40. 12 indexed citations
3.
Berg, Christoph P., Gerburg M. Stein, Reinhild Klein, et al.. (2006). Demonstration of PDC‐E1 subunits as major antigens in the complement‐fixing fraction M4 and re‐evaluation of PDC‐E1‐specific antibodies in PBC patients. Liver International. 26(7). 846–855. 9 indexed citations
4.
Balabanov, Stefan, Artur Gontarewicz, Patrick Ziegler, et al.. (2006). Hypusination of eukaryotic initiation factor 5A (eIF5A): a novel therapeutic target in BCR-ABL–positive leukemias identified by a proteomics approach. Blood. 109(4). 1701–1711. 83 indexed citations
5.
Junker, Heike, Kira Späte, Yalikun Suofu, et al.. (2005). Proteomic Identification of the Involvement of the Mitochondrial Rieske Protein in Epilepsy. Epilepsia. 46(3). 339–343. 15 indexed citations
7.
Herrmann, Christina, et al.. (2005). ExbBD-Dependent Transport of Maltodextrins through the Novel MalA Protein across the Outer Membrane ofCaulobacter crescentus. Journal of Bacteriology. 187(24). 8300–8311. 86 indexed citations
8.
Lautwein, Alfred, Marianne Kraus, Michael Reich, et al.. (2004). Human B lymphoblastoid cells contain distinct patterns of cathepsin activity in endocytic compartments and regulate MHC class II transport in a cathepsin S-independent manner. Journal of Leukocyte Biology. 75(5). 844–855. 29 indexed citations
9.
Vuong, Giang Lam, Winfried Kammer, Martin Priemer, et al.. (2000). Improved sensitivity proteomics by postharvest alkylation and radioactive labeling of proteins. Electrophoresis. 21(13). 2594–2605. 52 indexed citations
10.
Vuong, Giang Lam, Winfried Kammer, Martin Priemer, et al.. (2000). Improved sensitivity proteomics by postharvest alkylation and radioactive labeling of proteins. Electrophoresis. 21(13). 2594–2605. 2 indexed citations
12.
Friedrich, Karlheinz, et al.. (1999). The two subunits of the interleukin‐4 receptor mediate independent and distinct patterns of ligand endocytosis. European Journal of Biochemistry. 265(1). 457–465. 24 indexed citations
13.
Lischke, Antje, Richard Moriggl, Stephanie Brändlein, et al.. (1998). The Interleukin-4 Receptor Activates STAT5 by a Mechanism That Relies upon Common γ-Chain. Journal of Biological Chemistry. 273(47). 31222–31229. 75 indexed citations
14.
Moriggl, Richard, Winfried Kammer, Susanne Berchtold, et al.. (1998). Activation of STAT6 is not dependent on phosphotyrosine‐mediated docking to the interleukin‐4 receptor and can be blocked by dominant‐negative mutants of both receptor subunits. European Journal of Biochemistry. 251(1-2). 25–35. 15 indexed citations
15.
Moriggl, Richard, Susanne Berchtold, Karlheinz Friedrich, et al.. (1997). Comparison of the Transactivation Domains of Stat5 and Stat6 in Lymphoid Cells and Mammary Epithelial Cells. Molecular and Cellular Biology. 17(7). 3663–3678. 117 indexed citations
16.
Haque, S. Jaharul, Qian Wu, Winfried Kammer, et al.. (1997). Receptor-associated constitutive protein tyrosine phosphatase activity controls the kinase function of JAK1. Proceedings of the National Academy of Sciences. 94(16). 8563–8568. 63 indexed citations
17.
Kammer, Winfried, Antje Lischke, Richard Moriggl, et al.. (1996). Homodimerization of Interleukin-4 Receptor α Chain Can Induce Intracellular Signaling. Journal of Biological Chemistry. 271(39). 23634–23637. 66 indexed citations
18.
Lischke, Antje, et al.. (1996). A Chemiluminescence-Based Method for the Detection and Quantification of Antigen–Antibody Interactions on the Surface of Eukaryotic Cells. Analytical Biochemistry. 236(2). 322–326. 8 indexed citations
19.
Lischke, Antje, Winfried Kammer, & Karlheinz Friedrich. (1995). Different Human Interleukin‐4 Mutants Preferentially Activate Human or Murine Common Receptor γ Chain. European Journal of Biochemistry. 234(1). 100–107. 19 indexed citations
20.
Bönsch, Dominikus, Winfried Kammer, Antje Lischke, & Karlheinz Friedrich. (1995). Species-specific Agonist/Antagonist Activities of Human Interleukin-4 Variants Suggest Distinct Ligand Binding Properties of Human and Murine Common Receptor γ Chain. Journal of Biological Chemistry. 270(15). 8452–8457. 17 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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