Wolfgang Bielke

814 total citations
20 papers, 707 citations indexed

About

Wolfgang Bielke is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Wolfgang Bielke has authored 20 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 4 papers in Genetics and 4 papers in Cancer Research. Recurrent topics in Wolfgang Bielke's work include RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Molecular Biology Techniques and Applications (3 papers). Wolfgang Bielke is often cited by papers focused on RNA Interference and Gene Delivery (5 papers), Advanced biosensing and bioanalysis techniques (4 papers) and Molecular Biology Techniques and Applications (3 papers). Wolfgang Bielke collaborates with scholars based in Germany, Switzerland and United States. Wolfgang Bielke's co-authors include Birgit Jehn, Barbara A. Osborne, Warren S. Pear, Klaus von der Mark, Robert R. Friis, Susanne Saurer, Ke Guo, Vladimir Wolf, Arun Dharmarajan and Zhiwei Feng and has published in prestigious journals such as Journal of Biological Chemistry, The Journal of Immunology and PLoS ONE.

In The Last Decade

Wolfgang Bielke

19 papers receiving 697 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wolfgang Bielke Germany 12 518 128 97 95 64 20 707
Mark L. Watson United States 14 466 0.9× 303 2.4× 99 1.0× 126 1.3× 80 1.3× 23 808
Dawn M. Bryce Canada 11 601 1.2× 83 0.6× 101 1.0× 75 0.8× 119 1.9× 15 792
Vı́tězslav Křı́ž Czechia 16 545 1.1× 68 0.5× 58 0.6× 103 1.1× 127 2.0× 26 755
Cathárine C. Calkins United States 11 398 0.8× 83 0.6× 113 1.2× 41 0.4× 58 0.9× 13 882
Gennadiy Bondarenko United States 11 397 0.8× 131 1.0× 59 0.6× 67 0.7× 74 1.2× 19 672
Ilse G.L. Pauli Belgium 11 440 0.8× 108 0.8× 71 0.7× 90 0.9× 85 1.3× 11 718
Bruce Babiarz United States 16 294 0.6× 197 1.5× 74 0.8× 164 1.7× 25 0.4× 29 653
William C. Skarnes United Kingdom 10 983 1.9× 119 0.9× 98 1.0× 119 1.3× 78 1.2× 12 1.2k
Linda Hii Australia 13 527 1.0× 204 1.6× 56 0.6× 88 0.9× 116 1.8× 18 850
Wan-Jin Lu United States 13 652 1.3× 115 0.9× 82 0.8× 76 0.8× 231 3.6× 16 841

Countries citing papers authored by Wolfgang Bielke

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Bielke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Bielke

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Bielke. A scholar is included among the top collaborators of Wolfgang Bielke 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 Wolfgang Bielke. Wolfgang Bielke 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.
Frie, Christian, Daniele Belluoccio, Jocelyn van den Bergen, et al.. (2016). miR-126-3p Promotes Matrix-Dependent Perivascular Cell Attachment, Migration and Intercellular Interaction. Stem Cells. 34(5). 1297–1309. 26 indexed citations
2.
Virtue, Sam, Mark Campbell, Antonio Vidal‐Puig, et al.. (2011). Genome-Wide Profiling of MicroRNAs in Adipose Mesenchymal Stem Cell Differentiation and Mouse Models of Obesity. PLoS ONE. 6(6). e21305–e21305. 47 indexed citations
3.
Bielke, Wolfgang, et al.. (2010). Nucleic Acid Transfection. Topics in current chemistry. 38 indexed citations
4.
Bielke, Wolfgang, et al.. (2010). Nucleic acid transfection. Preface.. PubMed. 296. ix–x. 16 indexed citations
5.
Bergauer, Tobias, et al.. (2009). Analysis of Putative miRNA Binding Sites and mRNA 3′ Ends as Targets for siRNA-Mediated Gene Knockdown. Oligonucleotides. 19(1). 41–52. 11 indexed citations
6.
Narz, Frank, et al.. (2007). Enrichment strategies for siRNA-transfected cells in an untransfected background. Journal of Biotechnology. 130(3). 209–212.
7.
Hahn, Peter F., et al.. (2006). An siRNA-based system for differential regulation of ectopic gene expression constructs. Journal of Biotechnology. 128(4). 762–769. 2 indexed citations
8.
Hahn, Peter F., Cornelia Schmidt, Martin Weber, Jie Kang, & Wolfgang Bielke. (2004). RNA interference: PCR strategies for the quantification of stable degradation-fragments derived from siRNA-targeted mRNAs. Biomolecular Engineering. 21(3-5). 113–117. 8 indexed citations
9.
Brachvogel, Bent, et al.. (2002). Molecular cloning and expression analysis of a novel member of the Disintegrin and Metalloprotease-Domain (ADAM) family. Gene. 288(1-2). 203–210. 13 indexed citations
10.
Jehn, Birgit, et al.. (2002). c-Cbl Binding and Ubiquitin-dependent Lysosomal Degradation of Membrane-associated Notch1. Journal of Biological Chemistry. 277(10). 8033–8040. 113 indexed citations
11.
Jehn, Birgit, Wolfgang Bielke, Warren S. Pear, & Barbara A. Osborne. (1999). Cutting Edge: Protective Effects of Notch-1 on TCR-Induced Apoptosis. The Journal of Immunology. 162(2). 635–638. 196 indexed citations
12.
Guo, Ke, Vladimir Wolf, Arun Dharmarajan, et al.. (1998). Apoptosis-Associated Gene Expression in the Corpus Luteum of the Rat1. Biology of Reproduction. 58(3). 739–746. 77 indexed citations
13.
Bielke, Wolfgang, et al.. (1997). Apoptosis in the rat mammary gland and ventral prostate: detection of cell death-associated genes using a coincident-expression cloning approach. Cell Death and Differentiation. 4(2). 114–124. 19 indexed citations
14.
Wolf, Vladimir, Ke Guo, Arun Dharmarajan, et al.. (1997). DDC‐4, an apoptosis‐associated gene, is a secreted frizzled relative. FEBS Letters. 417(3). 385–389. 68 indexed citations
15.
Schwartz, Lawrence M., Carolanne E. Milligan, Wolfgang Bielke, & Steven J. Robinson. (1995). Chapter 7 Cloning Cell Death Genes. Methods in cell biology. 46. 107–138. 7 indexed citations
16.
Bielke, Wolfgang, Rolf Jaggi, Susanne Saurer, et al.. (1995). Isolation of cell death-associated cDNAs from involuting mouse mammary epithelium.. PubMed. 2(2). 113–22. 10 indexed citations
17.
Bielke, Wolfgang, et al.. (1994). Characterization of a novel murine testis-specific serine/threonine kinase. Gene. 139(2). 235–239. 44 indexed citations
18.
Meier, Roland, et al.. (1992). Lyn, a src-like tyrosine-specific protein kinase, is expressed in HL60 cells induced to monocyte-like or granulocyte-like cells. Biochemical and Biophysical Research Communications. 185(1). 91–95. 4 indexed citations
19.
Bielke, Wolfgang, et al.. (1992). Expression of the B cell-associated tyrosine kinase gene Lyn in primary neuroblastoma tumours and its modulation during the differentiation of neuroblastoma cell lines. Biochemical and Biophysical Research Communications. 186(3). 1403–1409. 2 indexed citations
20.
Christiansen, Holger, et al.. (1991). Chromosome 1 interphase-cytogenetics in 32 primary neuroblastomas of different clinical stages.. PubMed. 366. 99–105. 6 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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