R Jüttermann

2.0k total citations · 2 hit papers
8 papers, 1.6k citations indexed

About

R Jüttermann is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, R Jüttermann has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Genetics and 3 papers in Oncology. Recurrent topics in R Jüttermann's work include Virus-based gene therapy research (4 papers), CAR-T cell therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). R Jüttermann is often cited by papers focused on Virus-based gene therapy research (4 papers), CAR-T cell therapy research (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). R Jüttermann collaborates with scholars based in United States, Germany and Hungary. R Jüttermann's co-authors include Rudolf Jaenisch, Zhiping Wang, Paul D. Soloway, Hong Lei, Masaki Okano, En Li, Kendrick A. Goss, Rudolf Jaenisch, S. Paul Oh and Walter Doerfler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Molecular Biology.

In The Last Decade

R Jüttermann

8 papers receiving 1.6k citations

Hit Papers

De novo DNA cytosine methyltransferase activities in mous... 1994 2026 2004 2015 1996 1994 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R Jüttermann United States 7 1.3k 405 286 212 160 8 1.6k
Douglas Vernimmen United Kingdom 21 1.4k 1.1× 361 0.9× 197 0.7× 212 1.0× 104 0.7× 31 1.8k
Shalini C. Reshmi United States 20 1.1k 0.8× 413 1.0× 312 1.1× 268 1.3× 475 3.0× 54 1.8k
A. A. Sandberg United States 18 471 0.4× 240 0.6× 246 0.9× 337 1.6× 209 1.3× 26 1.3k
Eric M. Kallin United States 13 2.0k 1.6× 279 0.7× 349 1.2× 123 0.6× 90 0.6× 16 2.4k
F. Grosveld Netherlands 14 1.9k 1.5× 793 2.0× 109 0.4× 132 0.6× 133 0.8× 28 2.4k
Kevin M. Pawlik United States 15 1.2k 0.9× 345 0.9× 104 0.4× 120 0.6× 262 1.6× 21 1.7k
Masahiro Muto Japan 18 1.4k 1.1× 405 1.0× 123 0.4× 212 1.0× 49 0.3× 54 1.9k
Éric Milot Canada 21 1.2k 0.9× 262 0.6× 105 0.4× 161 0.8× 163 1.0× 35 1.6k
Karim Malik United Kingdom 27 1.4k 1.1× 220 0.5× 343 1.2× 191 0.9× 58 0.4× 47 1.9k
Richard C. M. Pearson Australia 21 1.2k 1.0× 366 0.9× 201 0.7× 54 0.3× 176 1.1× 29 1.6k

Countries citing papers authored by R Jüttermann

Since Specialization
Citations

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

Fields of papers citing papers by R Jüttermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of R Jüttermann

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

All Works

8 of 8 papers shown
1.
Wang, Zhiping, R Jüttermann, & Paul D. Soloway. (2000). TIMP-2 Is Required for Efficient Activation of proMMP-2 in Vivo. Journal of Biological Chemistry. 275(34). 26411–26415. 320 indexed citations
2.
Lei, Hong, S. Paul Oh, Masaki Okano, et al.. (1996). De novo DNA cytosine methyltransferase activities in mouse embryonic stem cells. Development. 122(10). 3195–3205. 651 indexed citations breakdown →
3.
Jüttermann, R, Ulla Wienhues, Toshiyuki Sugimoto, et al.. (1996). Anti-interferon activity of adenovirus-2-encoded VAI and VAII RNAs in translation in cultured human cells. Virus Research. 42(1-2). 53–63. 10 indexed citations
4.
Jüttermann, R, et al.. (1994). Toxicity of 5-aza-2'-deoxycytidine to mammalian cells is mediated primarily by covalent trapping of DNA methyltransferase rather than DNA demethylation.. Proceedings of the National Academy of Sciences. 91(25). 11797–11801. 557 indexed citations breakdown →
5.
Jüttermann, R, Keiichi Hosokawa, Stefan Kochanek, & Walter Doerfler. (1991). Adenovirus type 2 VAI RNA transcription by polymerase III is blocked by sequence-specific methylation. Journal of Virology. 65(4). 1735–1742. 31 indexed citations
6.
Jüttermann, R, U. Weyer, & Walter Doerfler. (1989). Defect of adenovirus type 12 replication in hamster cells: absence of transcription of viral virus-associated and L1 RNAs. Journal of Virology. 63(8). 3535–3540. 12 indexed citations
7.
Weißhaar, Bernd, Klaus-Dieter Langner, R Jüttermann, et al.. (1988). Reactivation of the methylation-inactivated late E2A promoter of adenovirus type 2 by E1A (13 S) functions. Journal of Molecular Biology. 202(2). 255–270. 49 indexed citations
8.
Jüttermann, R, D. Averbeck, Simone Averbeck, G. Bastian, & Robert E. Royer. (1985). Photobiological properties of furothiocoumarins in Saccharomyces cerevisiae.. PubMed. 40(1). 3–13. 2 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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