Annette Deichmann

2.3k total citations
9 papers, 167 citations indexed

About

Annette Deichmann is a scholar working on Molecular Biology, Genetics and Infectious Diseases. According to data from OpenAlex, Annette Deichmann has authored 9 papers receiving a total of 167 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Annette Deichmann's work include Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Annette Deichmann is often cited by papers focused on Virus-based gene therapy research (7 papers), CRISPR and Genetic Engineering (7 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). Annette Deichmann collaborates with scholars based in Germany, France and United Kingdom. Annette Deichmann's co-authors include Manfred Schmidt, Christof von Kalle, Cynthia C. Bartholomae, Hanno Glimm, Richard Gabriel, Anna Paruzynski, Ulrich Abel, Nathalie Cartier, Ali Nowrouzi and Anne I.J. Arens and has published in prestigious journals such as PLoS ONE, Stem Cells and Molecular Therapy.

In The Last Decade

Annette Deichmann

9 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Annette Deichmann Germany 9 128 103 43 16 14 9 167
Camille Sindhu United States 3 241 1.9× 92 0.9× 54 1.3× 10 0.6× 24 1.7× 6 270
Heyuan Qi China 8 203 1.6× 49 0.5× 13 0.3× 12 0.8× 14 1.0× 13 234
M. Luz Lozano Spain 6 134 1.0× 101 1.0× 21 0.5× 14 0.9× 14 1.0× 10 161
Naomi Currimjee United States 3 224 1.8× 60 0.6× 39 0.9× 5 0.3× 14 1.0× 3 243
Heather Davidson United Kingdom 8 112 0.9× 49 0.5× 16 0.4× 15 0.9× 16 1.1× 9 238
K. Chu United States 3 181 1.4× 147 1.4× 42 1.0× 27 1.7× 8 0.6× 3 229
Eyleen de Poel Netherlands 8 140 1.1× 49 0.5× 25 0.6× 9 0.6× 11 0.8× 10 281
Daniela Abriss Germany 8 93 0.7× 78 0.8× 33 0.8× 12 0.8× 18 1.3× 9 176
Giulia Unali Italy 4 167 1.3× 132 1.3× 63 1.5× 24 1.5× 34 2.4× 6 219
Emilie Wilkie Australia 8 171 1.3× 84 0.8× 21 0.5× 14 0.9× 5 0.4× 11 204

Countries citing papers authored by Annette Deichmann

Since Specialization
Citations

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

Fields of papers citing papers by Annette Deichmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annette Deichmann

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

All Works

9 of 9 papers shown
1.
Payne, Annette, Susan Jobling, David C. Hay, et al.. (2022). HIV- 1 lentivirus tethering to the genome is associated with transcription factor binding sites found in genes that favour virus survival. Gene Therapy. 29(12). 720–729. 8 indexed citations
2.
Wang, Wei, Cynthia C. Bartholomae, Richard Gabriel, Annette Deichmann, & Manfred Schmidt. (2016). The LAM-PCR Method to Sequence LV Integration Sites. Methods in molecular biology. 1448. 107–120. 9 indexed citations
3.
Papanikolaou, Eleni, Anna Paruzynski, Annette Deichmann, et al.. (2014). Cell Cycle Status of CD34+ Hemopoietic Stem Cells Determines Lentiviral Integration in Actively Transcribed and Development-related Genes. Molecular Therapy. 23(4). 683–696. 9 indexed citations
4.
Deichmann, Annette & Manfred Schmidt. (2014). Biosafety Considerations Using Gamma-Retroviral Vectors in Gene Therapy. Current Gene Therapy. 13(6). 469–477. 15 indexed citations
5.
Kalle, Christof von, Annette Deichmann, & Manfred Schmidt. (2014). Vector Integration and Tumorigenesis. Human Gene Therapy. 25(6). 475–481. 22 indexed citations
6.
Tubsuwan, Alisa, Annette Deichmann, Melanie Kardel, et al.. (2013). Parallel assessment of globin lentiviral transfer in induced pluripotent stem cells and adult hematopoietic stem cells derived from the same transplanted β-thalassemia patient. Stem Cells. 31(9). 1785–1794. 22 indexed citations
7.
Arens, Anne I.J., Cynthia C. Bartholomae, Richard Gabriel, et al.. (2012). Bioinformatic Clonality Analysis of Next-Generation Sequencing-Derived Viral Vector Integration Sites. Human Gene Therapy Methods. 23(2). 111–118. 38 indexed citations
8.
Abel, Ulrich, Annette Deichmann, Ali Nowrouzi, et al.. (2011). Analyzing the Number of Common Integration Sites of Viral Vectors – New Methods and Computer Programs. PLoS ONE. 6(10). e24247–e24247. 20 indexed citations
9.
Abel, Ulrich, Annette Deichmann, Cynthia C. Bartholomae, et al.. (2007). Real-Time Definition of Non-Randomness in the Distribution of Genomic Events. PLoS ONE. 2(6). e570–e570. 24 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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