Beate Kleuser

702 total citations
9 papers, 526 citations indexed

About

Beate Kleuser is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Immunology. According to data from OpenAlex, Beate Kleuser has authored 9 papers receiving a total of 526 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Immunology. Recurrent topics in Beate Kleuser's work include Viral Infectious Diseases and Gene Expression in Insects (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Beate Kleuser is often cited by papers focused on Viral Infectious Diseases and Gene Expression in Insects (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Beate Kleuser collaborates with scholars based in Switzerland, Italy and Germany. Beate Kleuser's co-authors include H.P. Kocher, Martin Lenter, Eric Borges, Sandra Isenmann, Agneta Levinovitz, Sabine Geisse, Hermann Gram, Hervé Broly, D. Voisard and Martin Jordan and has published in prestigious journals such as Nature, European Journal of Immunology and Gene.

In The Last Decade

Beate Kleuser

9 papers receiving 507 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beate Kleuser Switzerland 8 285 207 178 103 74 9 526
Timothy J. Dudgeon United Kingdom 9 273 1.0× 196 0.9× 84 0.5× 133 1.3× 77 1.0× 10 469
Minoru Fukuda United States 7 381 1.3× 120 0.6× 224 1.3× 74 0.7× 63 0.9× 7 611
Marina Slepak United States 8 248 0.9× 172 0.8× 110 0.6× 30 0.3× 80 1.1× 8 487
G. A. Luckenbach Germany 11 200 0.7× 148 0.7× 157 0.9× 119 1.2× 68 0.9× 16 434
Nozomu Hiraiwa Japan 11 647 2.3× 185 0.9× 332 1.9× 215 2.1× 78 1.1× 16 839
Felipe Vences‐Catalán United States 12 228 0.8× 112 0.5× 235 1.3× 46 0.4× 110 1.5× 17 505
Alexander Buffone United States 13 319 1.1× 156 0.8× 222 1.2× 50 0.5× 73 1.0× 17 565
A Nilson United States 17 261 0.9× 80 0.4× 518 2.9× 221 2.1× 117 1.6× 23 785
Sergei F. Barbashov United States 7 380 1.3× 119 0.6× 289 1.6× 75 0.7× 86 1.2× 12 689
Monica Bhatia United States 6 423 1.5× 146 0.7× 249 1.4× 124 1.2× 220 3.0× 7 752

Countries citing papers authored by Beate Kleuser

Since Specialization
Citations

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

Fields of papers citing papers by Beate Kleuser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beate Kleuser

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

All Works

9 of 9 papers shown
1.
Kleuser, Beate, et al.. (2018). Reciprocal Translocation Observed in End-of-Production Cells of a Commercial CHO-Based Process.. PubMed. 69(4). 540–52. 9 indexed citations
2.
Jordan, Martin, et al.. (2012). Cell culture medium improvement by rigorous shuffling of components using media blending. Cytotechnology. 65(1). 31–40. 43 indexed citations
3.
Schüler, W., Marc Bigaud, Volker Brinkmann, et al.. (2004). Efficacy and safety of ABI793, a novel human anti-human CD154 monoclonal antibody, in cynomolgus monkey renal allotransplantation1. Transplantation. 77(5). 717–726. 73 indexed citations
4.
Geisse, Sabine, Hermann Gram, Beate Kleuser, & H.P. Kocher. (1996). Eukaryotic Expression Systems: A Comparison. Protein Expression and Purification. 8(3). 271–282. 75 indexed citations
5.
Ridder, Rüdiger, Sabine Geisse, Beate Kleuser, Petra Kawalleck, & Hermann Gram. (1995). A COS-cell-based system for rapid production and quantification of scFv::IgCκ antibody fragments. Gene. 166(2). 273–276. 14 indexed citations
6.
Levinovitz, Agneta, Sandra Isenmann, Eric Borges, et al.. (1995). The E-selectin-ligand ESL-1 is a variant of a receptor for fibroblast growth factor. Nature. 373(6515). 615–620. 275 indexed citations
7.
Gram, Hermann, Gerhard Zenke, Sabine Geisse, Beate Kleuser, & Kurt Bürki. (1992). High‐level expression of a human immunoglobulin γ1 transgene depends on switch region sequences. European Journal of Immunology. 22(5). 1185–1191. 19 indexed citations
8.
Kleuser, Beate, et al.. (1985). Selective effects by valinomycin on cytotoxicity and cell cycle arrest of transformed versus nontransformed rodent fibroblasts in vitro.. PubMed. 45(7). 3022–8. 14 indexed citations
9.
Kleuser, Beate & Gail Adam. (1985). Interrelation between cellular rRNA content and regulation of the cell cycle of normal and transformed mouse cell lines. Cell Biology International Reports. 9(11). 985–992. 4 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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