Ute Modlich

5.8k total citations
78 papers, 3.7k citations indexed

About

Ute Modlich is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Ute Modlich has authored 78 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 52 papers in Genetics and 15 papers in Oncology. Recurrent topics in Ute Modlich's work include Virus-based gene therapy research (51 papers), CRISPR and Genetic Engineering (33 papers) and RNA Interference and Gene Delivery (21 papers). Ute Modlich is often cited by papers focused on Virus-based gene therapy research (51 papers), CRISPR and Genetic Engineering (33 papers) and RNA Interference and Gene Delivery (21 papers). Ute Modlich collaborates with scholars based in Germany, United States and Netherlands. Ute Modlich's co-authors include Christopher Baum, Axel Schambach, Boris Fehse, Olga Kustikova, Tobias Maetzig, Hellmut G. Augustin, Zhixiong Li, Daniela Zychlinski, Roy Bicknell and Martijn H. Brugman and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

Ute Modlich

78 papers receiving 3.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ute Modlich Germany 28 2.8k 2.1k 1.1k 454 292 78 3.7k
Christopher Baum Germany 39 3.8k 1.4× 3.0k 1.4× 1.5k 1.4× 662 1.5× 429 1.5× 95 5.1k
Johann Meyer Germany 23 2.9k 1.0× 1.3k 0.6× 870 0.8× 570 1.3× 197 0.7× 46 4.0k
Els Verhoeyen France 35 2.2k 0.8× 1.7k 0.8× 1.4k 1.3× 1.1k 2.3× 304 1.0× 114 4.1k
Dea Nagy United States 15 2.2k 0.8× 1.9k 0.9× 637 0.6× 327 0.7× 205 0.7× 22 3.3k
Patrick Nusbaum France 21 1.8k 0.6× 1.5k 0.7× 584 0.5× 567 1.2× 195 0.7× 34 2.9k
Mark E. Metzger United States 34 2.3k 0.8× 2.0k 1.0× 949 0.9× 599 1.3× 806 2.8× 94 3.7k
Lucia Sergi Sergi Italy 19 2.4k 0.9× 1.6k 0.8× 1.1k 1.0× 758 1.7× 141 0.5× 25 3.5k
Thomas C. Reynolds United States 18 2.8k 1.0× 1.8k 0.9× 812 0.8× 573 1.3× 363 1.2× 23 4.5k
Christophe Hue France 16 1.7k 0.6× 1.5k 0.7× 648 0.6× 714 1.6× 298 1.0× 23 2.7k
John T. Gray United States 28 2.1k 0.8× 1.7k 0.8× 682 0.6× 189 0.4× 161 0.6× 55 2.8k

Countries citing papers authored by Ute Modlich

Since Specialization
Citations

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

Fields of papers citing papers by Ute Modlich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ute Modlich

This figure shows the co-authorship network connecting the top 25 collaborators of Ute Modlich. A scholar is included among the top collaborators of Ute Modlich 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 Ute Modlich. Ute Modlich 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
2.
Manukjan, Georgi, Adele Mucci, Doris Steinemann, et al.. (2020). Forming megakaryocytes from murine induced pluripotent stem cells by the inducible overexpression of supporting factors. Research and Practice in Thrombosis and Haemostasis. 5(1). 111–124. 8 indexed citations
3.
Roth, Hanna, Lucas Schneider, Jörn Lausen, et al.. (2020). Zika virus infection studies with CD34+ hematopoietic and megakaryocyte‐erythroid progenitors, red blood cells and platelets. Transfusion. 60(3). 561–574. 6 indexed citations
4.
Rommel, M, et al.. (2020). Signaling properties of murine MPL and MPL mutants after stimulation with thrombopoietin and romiplostim. Experimental Hematology. 85. 33–46.e6. 4 indexed citations
5.
Thalheimer, Frederic B., Sylvia Hartmann, R. Bender, et al.. (2018). In vivo generation of human CD 19‐ CAR T cells results in B‐cell depletion and signs of cytokine release syndrome. EMBO Molecular Medicine. 10(11). 142 indexed citations
6.
Bönig, Halvard, et al.. (2017). Promises and Challenges in Hematopoietic Stem Cell Gene Therapy. Human Gene Therapy. 28(10). 782–799. 4 indexed citations
7.
Friedel, Thorsten, Sabine Jung‐Klawitter, Attila Sebe, et al.. (2016). CD30 Receptor-Targeted Lentiviral Vectors for Human Induced Pluripotent Stem Cell-Specific Gene Modification. Stem Cells and Development. 25(9). 729–739. 3 indexed citations
8.
Wintterle, Sabine, Sebastian Dütting, Susanne Wingert, et al.. (2016). Targeting expression to megakaryocytes and platelets by lineage‐specific lentiviral vectors. Journal of Thrombosis and Haemostasis. 15(2). 341–355. 9 indexed citations
9.
Haemmerle, Reinhard, et al.. (2014). Clonal Dominance With Retroviral Vector Insertions Near the ANGPT1 and ANGPT2 Genes in a Human Xenotransplant Mouse Model. Molecular Therapy — Nucleic Acids. 3. e200–e200. 8 indexed citations
10.
Jaako, Pekka, Sudhan Debnath, Karin Olsson, et al.. (2014). Gene therapy cures the anemia and lethal bone marrow failure in a mouse model of RPS19-deficient Diamond-Blackfan anemia. Haematologica. 99(12). 1792–1798. 27 indexed citations
11.
Rothe, Michael, Ute Modlich, & Axel Schambach. (2014). Biosafety Challenges for Use of Lentiviral Vectors in Gene Therapy. Current Gene Therapy. 13(6). 453–468. 92 indexed citations
12.
Heckl, Dirk, Adrian Schwarzer, Reinhard Haemmerle, et al.. (2012). Lentiviral Vector Induced Insertional Haploinsufficiency of Ebf1 Causes Murine Leukemia. Molecular Therapy. 20(6). 1187–1195. 43 indexed citations
13.
Maetzig, Tobias, Martijn H. Brugman, Stefan Bartels, et al.. (2011). Polyclonal fluctuation of lentiviral vector–transduced and expanded murine hematopoietic stem cells. Blood. 117(11). 3053–3064. 46 indexed citations
14.
Modlich, Ute, Cécile Bauche, Nicolas J. Niederländer, et al.. (2011). CTF/NF1 transcription factors act as potent genetic insulators for integrating gene transfer vectors. Gene Therapy. 19(1). 15–24. 24 indexed citations
15.
Lachmann, Nico, Dirk Heckl, Sebastian Brennig, et al.. (2011). MicroRNA-150-regulated vectors allow lymphocyte-sparing transgene expression in hematopoietic gene therapy. Gene Therapy. 19(9). 915–924. 13 indexed citations
16.
Modlich, Ute, Axel Schambach, Zhixiong Li, & Bernhard Schiedlmeier. (2009). Murine Hematopoietic Stem Cell Transduction Using Retroviral Vectors. Methods in molecular biology. 506. 23–31. 8 indexed citations
17.
Li, Zhixiong, Ute Modlich, & Anjali Mishra. (2009). Leukemia Diagnosis in Murine Bone Marrow Transplantation Models. Methods in molecular biology. 506. 311–329. 6 indexed citations
18.
Zychlinski, Daniela, Axel Schambach, Ute Modlich, et al.. (2008). Physiological Promoters Reduce the Genotoxic Risk of Integrating Gene Vectors. Molecular Therapy. 16(4). 718–725. 215 indexed citations
19.
Will, Elke, Jeff Bailey, Ute Modlich, et al.. (2007). Importance of Murine Study Design for Testing Toxicity of Retroviral Vectors in Support of Phase I Trials. Molecular Therapy. 15(4). 782–791. 20 indexed citations
20.
Schambach, Axel, Melanie Galla, Ute Modlich, et al.. (2006). Lentiviral vectors pseudotyped with murine ecotropic envelope: Increased biosafety and convenience in preclinical research. Experimental Hematology. 34(5). 588–592. 90 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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