Roswitha Löwer

4.0k total citations · 1 hit paper
43 papers, 3.2k citations indexed

About

Roswitha Löwer is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Roswitha Löwer has authored 43 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 26 papers in Molecular Biology and 10 papers in Genetics. Recurrent topics in Roswitha Löwer's work include Chromosomal and Genetic Variations (26 papers), CRISPR and Genetic Engineering (13 papers) and RNA and protein synthesis mechanisms (10 papers). Roswitha Löwer is often cited by papers focused on Chromosomal and Genetic Variations (26 papers), CRISPR and Genetic Engineering (13 papers) and RNA and protein synthesis mechanisms (10 papers). Roswitha Löwer collaborates with scholars based in Germany, United States and Austria. Roswitha Löwer's co-authors include Johannes Löwer, R. Kurth, Reinhard Kurth, Klaus Böller, Ralf R. Tönjes, Bernd J. Schmitz‐Dräger, Wolfgang A. Schulz, Andrea R. Florl, Annette Damert and Gerald G. Schumann and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Roswitha Löwer

42 papers receiving 3.1k citations

Hit Papers

The viruses in all of us: characteristics and biological ... 1996 2026 2006 2016 1996 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roswitha Löwer Germany 28 2.3k 2.1k 671 416 243 43 3.2k
Christine Leib‐Mösch Germany 28 1.5k 0.7× 1.3k 0.6× 420 0.6× 326 0.8× 107 0.4× 65 2.4k
Wolfgang Seifarth Germany 27 1.2k 0.5× 947 0.5× 297 0.4× 192 0.5× 85 0.3× 74 2.5k
Ralf R. Tönjes Germany 27 1.2k 0.5× 689 0.3× 1.1k 1.7× 229 0.6× 1.0k 4.2× 80 2.3k
Antonina Dolei Italy 33 957 0.4× 830 0.4× 204 0.3× 974 2.3× 81 0.3× 84 2.7k
Bernard Conrad Switzerland 15 657 0.3× 368 0.2× 556 0.8× 668 1.6× 196 0.8× 24 1.8k
Kenji Nakahara Japan 29 2.1k 0.9× 1.3k 0.6× 214 0.3× 360 0.9× 111 0.5× 81 3.9k
Carol J. Wilusz United States 34 3.6k 1.6× 266 0.1× 280 0.4× 329 0.8× 66 0.3× 53 4.3k
Dustin C. Hancks United States 18 1.4k 0.6× 1.0k 0.5× 446 0.7× 387 0.9× 25 0.1× 24 1.9k
Marianne Mangeney France 21 854 0.4× 360 0.2× 224 0.3× 637 1.5× 62 0.3× 33 1.6k
Sameet Mehta United States 21 1.5k 0.7× 262 0.1× 224 0.3× 382 0.9× 173 0.7× 38 2.2k

Countries citing papers authored by Roswitha Löwer

Since Specialization
Citations

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

Fields of papers citing papers by Roswitha Löwer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roswitha Löwer

This figure shows the co-authorship network connecting the top 25 collaborators of Roswitha Löwer. A scholar is included among the top collaborators of Roswitha Löwer 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 Roswitha Löwer. Roswitha Löwer 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.
Fuchs, Nina V., Sabine Loewer, George Q. Daley, et al.. (2013). Human endogenous retrovirus K (HML-2) RNA and protein expression is a marker for human embryonic and induced pluripotent stem cells. Retrovirology. 10(1). 115–115. 72 indexed citations
2.
Carra, Gert, et al.. (2013). Differential gene expression in ERα-positive and ERα-negative breast cancer cells upon leptin stimulation. Endocrine. 44(2). 496–503. 5 indexed citations
3.
Damert, Annette, Sergiu Chira, Ulrike Held, et al.. (2011). The non-autonomous retrotransposon SVA is trans -mobilized by the human LINE-1 protein machinery. Nucleic Acids Research. 40(4). 1666–1683. 163 indexed citations
4.
Damert, Annette, Johannes Löwer, Hui Wang, et al.. (2009). 5′-Transducing SVA retrotransposon groups spread efficiently throughout the human genome. Genome Research. 19(11). 1992–2008. 88 indexed citations
5.
Hahn, Silvia, Selma Ugurel, Kay-Martin Hanschmann, et al.. (2008). Serological Response to Human Endogenous Retrovirus K in Melanoma Patients Correlates with Survival Probability. AIDS Research and Human Retroviruses. 24(5). 717–723. 81 indexed citations
6.
Tolstonog, Genrich V., Annette Damert, Ulrike Held, et al.. (2007). Functional endogenous LINE-1 retrotransposons are expressed and mobilized in rat chloroleukemia cells. Nucleic Acids Research. 36(2). 648–665. 41 indexed citations
7.
Büscher, Kristina, Silvia Hahn, Maja A. Hofmann, et al.. (2006). Expression of the human endogenous retrovirus-K transmembrane envelope, Rec and Np9 proteins in melanomas and melanoma cell lines. Melanoma Research. 16(3). 223–234. 92 indexed citations
8.
Va, Morozov, Sylvie Lagaye, Johannes Löwer, & Roswitha Löwer. (2004). Detection and characterization of betaretroviral sequences, related to sheep Jaagsiekte virus, in Africans from Nigeria and Cameroon. Virology. 327(2). 162–168. 21 indexed citations
9.
Hervé, Christine, et al.. (2003). Conservation and loss of the ERV3 open reading frame in primates. Genomics. 83(5). 940–943. 24 indexed citations
11.
Rücker, Elke, et al.. (2001). Rapid Evaluation and Optimization of Recombinant Protein Production Using GFP Tagging. Protein Expression and Purification. 21(1). 220–223. 25 indexed citations
13.
Florl, Andrea R., Roswitha Löwer, Bernd J. Schmitz‐Dräger, & Wolfgang A. Schulz. (1999). DNA methylation and expression of LINE-1 and HERV-K provirus sequences in urothelial and renal cell carcinomas. British Journal of Cancer. 80(9). 1312–1321. 208 indexed citations
14.
Löwer, Roswitha. (1999). The pathogenic potential of endogenous retroviruses: facts and fantasies. Trends in Microbiology. 7(9). 350–356. 112 indexed citations
15.
Löwer, Roswitha, Ralf R. Tönjes, Klaus Böller, et al.. (1998). Development of Insulin-Dependent Diabetes Mellitus Does Not Depend on Specific Expression of the Human Endogenous Retrovirus HERV-K. Cell. 95(1). 11–14. 45 indexed citations
16.
Tönjes, Ralf R., Roswitha Löwer, Klaus Böller, et al.. (1996). HERV-K: The Biologically Most Active Human Endogenous Retrovirus Family. Journal of Acquired Immune Deficiency Syndromes & Human Retrovirology. 13. S261–S267. 77 indexed citations
17.
Simpson, Guy R., Clive Patience, Roswitha Löwer, et al.. (1996). Endogenous D-Type (HERV-K) Related Sequences Are Packaged into Retroviral Particles in the Placenta and Possess Open Reading Frames for Reverse Transcriptase. Virology. 222(2). 451–456. 68 indexed citations
18.
Böller, Klaus, Herbert König, Marlies Sauter, et al.. (1993). Evidence That HERV-K Is the Endogenous Retrovirus Sequence That Codes for the Human Teratocarcinoma-Derived Retrovirus HTDV. Virology. 196(1). 349–353. 156 indexed citations
20.
Löwer, Johannes, et al.. (1981). Retrovirus Particle Production in Three of Four Human Teratocarcinoma Cell Lines. Hämatologie und Bluttransfusion. 26. 541–544. 12 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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