Juergen Bode

4.2k total citations
56 papers, 3.3k citations indexed

About

Juergen Bode is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Juergen Bode has authored 56 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 14 papers in Genetics and 9 papers in Oncology. Recurrent topics in Juergen Bode's work include CRISPR and Genetic Engineering (16 papers), RNA Research and Splicing (12 papers) and Virus-based gene therapy research (11 papers). Juergen Bode is often cited by papers focused on CRISPR and Genetic Engineering (16 papers), RNA Research and Splicing (12 papers) and Virus-based gene therapy research (11 papers). Juergen Bode collaborates with scholars based in Germany, United States and Switzerland. Juergen Bode's co-authors include Thomas Schlake, Karin Maass, Christoph Zehe, Christian Mielke, Terumi Kohwi-shigematsu, Yoshinori Kohwi, Soeren Turan, Lars Køber, Junhua Qiao and Hans J. Lipps and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Juergen Bode

56 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Juergen Bode Germany 32 2.9k 1.1k 307 294 176 56 3.3k
Achilles Dugaiczyk United States 31 2.5k 0.9× 739 0.6× 278 0.9× 316 1.1× 199 1.1× 59 3.3k
Carlo Petosa France 22 3.7k 1.3× 670 0.6× 349 1.1× 198 0.7× 272 1.5× 39 4.2k
Scott Cherry United States 21 1.8k 0.6× 573 0.5× 263 0.9× 115 0.4× 135 0.8× 39 2.5k
Richard L. Davidson United States 37 2.7k 0.9× 868 0.8× 398 1.3× 359 1.2× 290 1.6× 111 3.8k
P. Anthony Weil United States 41 5.3k 1.8× 1.1k 0.9× 215 0.7× 433 1.5× 215 1.2× 88 5.8k
Klaus Bister Austria 39 2.7k 0.9× 1.1k 0.9× 551 1.8× 488 1.7× 502 2.9× 108 4.1k
Achim Dickmanns Germany 33 2.4k 0.8× 375 0.3× 388 1.3× 205 0.7× 137 0.8× 70 3.1k
W. Möller Netherlands 41 3.5k 1.2× 587 0.5× 297 1.0× 226 0.8× 423 2.4× 96 4.2k
Michael Dahmus United States 41 5.4k 1.9× 646 0.6× 416 1.4× 429 1.5× 508 2.9× 75 6.2k
Ivan Sadowski Canada 35 3.7k 1.3× 736 0.6× 577 1.9× 421 1.4× 670 3.8× 74 5.0k

Countries citing papers authored by Juergen Bode

Since Specialization
Citations

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

Fields of papers citing papers by Juergen Bode

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juergen Bode

This figure shows the co-authorship network connecting the top 25 collaborators of Juergen Bode. A scholar is included among the top collaborators of Juergen Bode 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 Juergen Bode. Juergen Bode 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.
Kuehle, Johannes, Soeren Turan, Tobias Cantz, et al.. (2014). Modified Lentiviral LTRs Allow Flp Recombinase–mediated Cassette Exchange and In Vivo Tracing of “Factor-free” Induced Pluripotent Stem Cells. Molecular Therapy. 22(5). 919–928. 20 indexed citations
2.
Turan, Soeren, et al.. (2014). Expanding Flp-RMCE options: the potential of Recombinase Mediated Twin-Site Targeting (RMTT). Gene. 546(2). 135–144. 9 indexed citations
3.
Køber, Lars, Christoph Zehe, & Juergen Bode. (2012). Optimized signal peptides for the development of high expressing CHO cell lines. Biotechnology and Bioengineering. 110(4). 1164–1173. 126 indexed citations
4.
Poznanović, Goran, et al.. (2012). YY1-Binding Sites Provide Central Switch Functions in the PARP-1 Gene Expression Network. PLoS ONE. 7(8). e44125–e44125. 16 indexed citations
5.
Turan, Soeren, Melanie Galla, Junhua Qiao, et al.. (2011). Recombinase-Mediated Cassette Exchange (RMCE): Traditional Concepts and Current Challenges. Journal of Molecular Biology. 407(2). 193–221. 127 indexed citations
6.
Turan, Soeren, Johannes Kuehle, Axel Schambach, Christopher Baum, & Juergen Bode. (2010). Multiplexing RMCE: Versatile Extensions of the Flp-Recombinase-Mediated Cassette-Exchange Technology. Journal of Molecular Biology. 402(1). 52–69. 57 indexed citations
7.
Oumard, André, et al.. (2009). Minicircle Performance Depending on S/MAR–Nuclear Matrix Interactions. Journal of Molecular Biology. 395(5). 950–965. 31 indexed citations
8.
Zeitz, Μ., Kishore S. Malyavantham, Sandra Goetze, et al.. (2009). Organization of the amplified type I interferon gene cluster and associated chromosome regions in the interphase nucleus of human osteosarcoma cells. Chromosome Research. 17(3). 305–319. 2 indexed citations
9.
Qiao, Junhua, et al.. (2009). Novel Tag-and-Exchange (RMCE) Strategies Generate Master Cell Clones with Predictable and Stable Transgene Expression Properties. Journal of Molecular Biology. 390(4). 579–594. 37 indexed citations
10.
Zeitz, Μ., Kishore S. Malyavantham, Artem Pliss, et al.. (2008). Ladder-like amplification of the type I interferon gene cluster in the human osteosarcoma cell line MG63. Chromosome Research. 16(8). 1177–1192. 2 indexed citations
11.
Klar, Maximilian & Juergen Bode. (2005). Enhanceosome Formation over the Beta Interferon Promoter Underlies a Remote-Control Mechanism Mediated by YY1 and YY2. Molecular and Cellular Biology. 25(22). 10159–10170. 44 indexed citations
12.
Lipps, Hans J., et al.. (2003). Chromosome-based vectors for gene therapy. Gene. 304. 23–33. 53 indexed citations
13.
Piechaczek, Christoph, et al.. (1999). A vector based on the SV40 origin of replication and chromosomal S/MARs replicates episomally in CHO cells. Nucleic Acids Research. 27(2). 426–428. 166 indexed citations
14.
Bode, Juergen, et al.. (1996). Scaffold/Matrix-Attached Regions: Structural Properties Creating Transcriptionally Active Loci. International review of cytology. 162A. 389–454. 102 indexed citations
15.
Bode, Juergen, et al.. (1994). Binding specificity of a nuclear scaffold: supercoiled, single-stranded, and scaffold-attached-region DNA. Biochemistry. 33(1). 367–374. 37 indexed citations
16.
Schlake, Thomas, et al.. (1992). Scaffold-attached regions (SAR elements) mediate transcriptional effects due to butyrate. Biochemistry. 31(12). 3222–3229. 45 indexed citations
17.
Mielke, Christian, Yoshinori Kohwi, Terumi Kohwi-shigematsu, & Juergen Bode. (1990). Hierarchical binding of DNA fragments derived from scaffold-attached regions: correlation of properties in vitro and function in vivo. Biochemistry. 29(32). 7475–7485. 112 indexed citations
18.
Bode, Juergen & Karin Maass. (1988). Chromatin domain surrounding the human interferon-.beta. gene as defined by scaffold-attached regions. Biochemistry. 27(13). 4706–4711. 141 indexed citations
19.
Bode, Juergen, H. K. Hochkeppel, & Karin Maass. (1982). Links Between Effects of Butyrate on Histone Hyperacetylation and Regulation of Interferon Synthesis in Namalva and FS-4 Cell Lines. Journal of Interferon Research. 2(2). 159–166. 7 indexed citations
20.
Bode, Juergen, et al.. (1976). Sperm-Specific Proteins - Interaction with DNA and Chromatin and Influence of Phosphorylation Thereon. MPG.PuRe (Max Planck Society). 55(1). 39–48. 3 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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