Anja Ehrhardt

7.1k total citations · 1 hit paper
114 papers, 5.4k citations indexed

About

Anja Ehrhardt is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, Anja Ehrhardt has authored 114 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Genetics, 85 papers in Molecular Biology and 29 papers in Oncology. Recurrent topics in Anja Ehrhardt's work include Virus-based gene therapy research (87 papers), CRISPR and Genetic Engineering (44 papers) and Viral Infectious Diseases and Gene Expression in Insects (34 papers). Anja Ehrhardt is often cited by papers focused on Virus-based gene therapy research (87 papers), CRISPR and Genetic Engineering (44 papers) and Viral Infectious Diseases and Gene Expression in Insects (34 papers). Anja Ehrhardt collaborates with scholars based in Germany, United States and China. Anja Ehrhardt's co-authors include Mark A. Kay, Clare E. Thomas, Wenli Zhang, Zhiying Chen, Christina Rauschhuber, Eric Ehrke‐Schulz, Armin Baiker, L. Jäger, Jian Gao and Hui Xu and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.

In The Last Decade

Anja Ehrhardt

110 papers receiving 5.3k citations

Hit Papers

Progress and problems with the use of viral vectors for g... 2003 2026 2010 2018 2003 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anja Ehrhardt Germany 32 4.2k 3.1k 863 552 350 114 5.4k
Marinee Chuah Belgium 43 3.9k 0.9× 2.7k 0.9× 1.2k 1.4× 325 0.6× 303 0.9× 114 5.6k
Thierry VandenDriessche Belgium 43 3.9k 0.9× 2.8k 0.9× 1.2k 1.4× 328 0.6× 303 0.9× 124 5.7k
Fuminori Sakurai Japan 39 3.5k 0.8× 2.0k 0.6× 850 1.0× 582 1.1× 305 0.9× 182 5.2k
Leonard Meuse United States 30 4.9k 1.2× 4.0k 1.3× 885 1.0× 645 1.2× 612 1.7× 35 6.3k
Phillip W.L. Tai United States 25 3.2k 0.8× 2.1k 0.7× 542 0.6× 315 0.6× 237 0.7× 53 4.1k
Perry B. Hackett United States 47 5.9k 1.4× 3.5k 1.1× 910 1.1× 223 0.4× 292 0.8× 144 7.4k
Aravind Asokan United States 42 5.4k 1.3× 4.1k 1.4× 696 0.8× 618 1.1× 613 1.8× 137 7.1k
Stefan Kochanek Germany 47 5.7k 1.4× 5.1k 1.7× 1.5k 1.7× 987 1.8× 612 1.7× 150 7.9k
Larry A. Couture United States 30 2.1k 0.5× 1.3k 0.4× 509 0.6× 326 0.6× 329 0.9× 47 3.5k
Chengwen Li United States 34 3.7k 0.9× 3.4k 1.1× 886 1.0× 399 0.7× 511 1.5× 111 5.2k

Countries citing papers authored by Anja Ehrhardt

Since Specialization
Citations

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

Fields of papers citing papers by Anja Ehrhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anja Ehrhardt

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Ehrhardt. A scholar is included among the top collaborators of Anja Ehrhardt 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 Anja Ehrhardt. Anja Ehrhardt 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.
Silling, Steffi, et al.. (2024). Expression and prognosis of DSG-2, CXADR, CD46 in head and neck squamous cell carcinoma. Pathology - Research and Practice. 262. 155541–155541.
2.
Scarsella, Luca, Eric Ehrke‐Schulz, Michael Paulussen, et al.. (2024). Advances of Recombinant Adenoviral Vectors in Preclinical and Clinical Applications. Viruses. 16(3). 377–377. 11 indexed citations
4.
Mautner, Lena, Mona Hoyos, Erwan Sallard, et al.. (2023). In Vitro Analysis of the Effect of SARS-CoV-2 Non-VOC and four Variants of Concern on MHC-Class-I Expression on Calu-3 and Caco-2 Cells. Genes. 14(7). 1348–1348. 3 indexed citations
5.
Sallard, Erwan, et al.. (2023). The Adenovirus Vector Platform: Novel Insights into Rational Vector Design and Lessons Learned from the COVID-19 Vaccine. Viruses. 15(1). 204–204. 22 indexed citations
6.
Jacobsen, Frank, Anne Bigot, Wenli Zhang, et al.. (2023). Muscle Specific Promotors for Gene Therapy – A Comparative Study in Proliferating and Differentiated Cells. Journal of Neuromuscular Diseases. 10(4). 575–592. 1 indexed citations
7.
Sallard, Erwan, Alexander E. Klimovitskii, Claudia Hagedorn, et al.. (2023). Development of oncolytic and gene therapy vectors based on adenovirus serotype 4 as an alternative to adenovirus serotype 5. The Journal of Gene Medicine. 26(1). e3576–e3576. 2 indexed citations
8.
Zhang, Wenli, et al.. (2022). Influence of Heparan Sulfate Proteoglycans and Factor X on species D Human Adenovirus Uptake and Transduction. Viruses. 15(1). 55–55. 2 indexed citations
9.
Wang, Xiaoyan, Wenli Zhang, Cornelia Köhler, et al.. (2022). Seroprevalence of Binding and Neutralizing Antibodies against 39 Human Adenovirus Types in Patients with Neuromuscular Disorders. Viruses. 15(1). 79–79. 8 indexed citations
10.
Sallard, Erwan, Katarzyna Niespodziana, Thomas Schlederer, et al.. (2022). Microarray-Based Analyses of Rhinovirus Species-Specific Antibody Responses in Exacerbated Pediatric Asthma in a German Pediatric Cohort. Viruses. 14(9). 1857–1857. 2 indexed citations
11.
Wang, Hongjie, Franziska Jönsson, Malik Aydin, et al.. (2022). Properties of Adenovirus Vectors with Increased Affinity to DSG2 and the Potential Benefits of Oncolytic Approaches and Gene Therapy. Viruses. 14(8). 1835–1835. 5 indexed citations
12.
Ehrke‐Schulz, Eric, Wenli Zhang, Jian Gao, & Anja Ehrhardt. (2017). Recent Advances in Preclinical Developments Using Adenovirus Hybrid Vectors. Human Gene Therapy. 28(10). 833–841. 6 indexed citations
13.
Lieber, André, Hongjie Wang, Nikoletta Psatha, et al.. (2017). In Vivo HSC Transduction and Selection Results in Long-Term, High-Level Expression of Human Gamma Globin in Peripheral Blood Erythrocytes of Mice. Blood. 130. 4616–4616. 1 indexed citations
14.
Ehrke‐Schulz, Eric, et al.. (2017). CRISPR/Cas9 delivery with one single adenoviral vector devoid of all viral genes. Scientific Reports. 7(1). 17113–17113. 77 indexed citations
15.
Richter, Maximilian, Kamola Saydaminova, Roma Yumul, et al.. (2016). In vivo transduction of primitive mobilized hematopoietic stem cells after intravenous injection of integrating adenovirus vectors. Blood. 128(18). 2206–2217. 84 indexed citations
17.
Hagedorn, Claudia, Armin Baiker, Jan Postberg, Anja Ehrhardt, & Hans J. Lipps. (2012). Handling S/MAR Vectors. Cold Spring Harbor Protocols. 2012(6). pdb.top068262–pdb.top068262. 6 indexed citations
18.
Hagedorn, Claudia, Armin Baiker, Jan Postberg, Anja Ehrhardt, & Hans J. Lipps. (2012). A Colony-Forming Assay for Determining the Establishment Efficiency of S/MAR-Containing Nonviral Episomal Expression Vectors. Cold Spring Harbor Protocols. 2012(6). pdb.prot069500–pdb.prot069500. 8 indexed citations
19.
Jäger, L., et al.. (2009). A rapid protocol for construction and production of high-capacity adenoviral vectors. Nature Protocols. 4(4). 547–564. 59 indexed citations
20.
Ehrhardt, Anja, Rudolf Haase, Aloys Schepers, et al.. (2008). Episomal Vectors for Gene Therapy. Current Gene Therapy. 8(3). 147–161. 54 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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