Daniela Abriss

758 total citations
9 papers, 176 citations indexed

About

Daniela Abriss is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, Daniela Abriss has authored 9 papers receiving a total of 176 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Genetics, 4 papers in Molecular Biology and 4 papers in Hematology. Recurrent topics in Daniela Abriss's work include Virus-based gene therapy research (5 papers), Hemophilia Treatment and Research (4 papers) and Viral Infections and Immunology Research (2 papers). Daniela Abriss is often cited by papers focused on Virus-based gene therapy research (5 papers), Hemophilia Treatment and Research (4 papers) and Viral Infections and Immunology Research (2 papers). Daniela Abriss collaborates with scholars based in Germany, United States and Netherlands. Daniela Abriss's co-authors include Erhard Seifried, Jörg Schüttrumpf, Torsten Tonn, Patricia Quade-Lyssy, Manuel Grez, Stefanie Roth, Rainer Pepperkok, Jeremy C. Simpson, Sonja Alesci and Thorsten Burmester and has published in prestigious journals such as Blood, PLoS ONE and Molecular Therapy.

In The Last Decade

Daniela Abriss

9 papers receiving 171 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Abriss Germany 8 93 78 48 33 23 9 176
Katerina Bendak Australia 7 91 1.0× 33 0.4× 15 0.3× 17 0.5× 15 0.7× 10 153
Gesa Hoffmann Sweden 9 188 2.0× 131 1.7× 19 0.4× 41 1.2× 8 0.3× 12 277
Andra Li Canada 10 367 3.9× 86 1.1× 23 0.5× 20 0.6× 8 0.3× 11 470
Satoko Kaneko Japan 7 94 1.0× 41 0.5× 15 0.3× 6 0.2× 6 0.3× 9 190
Heyuan Qi China 8 203 2.2× 49 0.6× 10 0.2× 13 0.4× 5 0.2× 13 234
E. S. Ioudinkova Russia 14 321 3.5× 61 0.8× 10 0.2× 49 1.5× 20 0.9× 29 455
Vidya Balagopal United States 8 441 4.7× 20 0.3× 15 0.3× 16 0.5× 22 1.0× 9 491
Ildikó V. Akey United States 8 425 4.6× 27 0.3× 35 0.7× 27 0.8× 30 1.3× 9 479
Judit Serrat Spain 7 194 2.1× 31 0.4× 11 0.2× 52 1.6× 18 0.8× 14 305
Mark Geanacopoulos United States 9 313 3.4× 202 2.6× 38 0.8× 9 0.3× 16 0.7× 13 401

Countries citing papers authored by Daniela Abriss

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Abriss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Abriss

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Abriss. A scholar is included among the top collaborators of Daniela Abriss 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 Daniela Abriss. Daniela Abriss 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.
Brendel, Christian, Michael Rothe, Giorgia Santilli, et al.. (2018). Non-Clinical Efficacy and Safety Studies on G1XCGD, a Lentiviral Vector for Ex Vivo Gene Therapy of X-Linked Chronic Granulomatous Disease. PubMed. 29(2). 69–79. 28 indexed citations
2.
Brendel, Christian, Daniela Abriss, Martijn H. Brugman, et al.. (2014). CD133-targeted Gene Transfer Into Long-term Repopulating Hematopoietic Stem Cells. Molecular Therapy. 23(1). 63–70. 22 indexed citations
3.
Quade-Lyssy, Patricia, et al.. (2014). Oral gene therapy for hemophilia B using chitosan‐formulated FIX mutants. Journal of Thrombosis and Haemostasis. 12(6). 932–942. 12 indexed citations
4.
Quade-Lyssy, Patricia, et al.. (2014). Next generation FIX muteins with FVIII‐independent activity for alternative treatment of hemophilia A. Journal of Thrombosis and Haemostasis. 12(11). 1861–1873. 10 indexed citations
5.
Roth, Stefanie, Jörg Schüttrumpf, Daniela Abriss, et al.. (2012). Chemical Chaperones Improve Protein Secretion and Rescue Mutant Factor VIII in Mice with Hemophilia A. PLoS ONE. 7(9). e44505–e44505. 34 indexed citations
6.
Ivanciu, Lacramioara, Daniela Abriss, Patricia Quade-Lyssy, et al.. (2011). Engineered factor IX variants bypass FVIII and correct hemophilia A phenotype in mice. Blood. 119(2). 602–611. 26 indexed citations
7.
Schüttrumpf, Jörg, et al.. (2010). Transgene Loss and Changes in the Promoter Methylation Status as Determinants for Expression Duration in Nonviral Gene Transfer for Factor IX. Human Gene Therapy. 22(1). 101–106. 15 indexed citations
8.
Heinz, Stefan, Jörg Schüttrumpf, Jeremy C. Simpson, et al.. (2009). Factor VIII-eGFP fusion proteins with preserved functional activity for the analysis of the early secretory pathway of factor VIII. Thrombosis and Haemostasis. 102(11). 925–935. 3 indexed citations
9.
Abriss, Daniela, Boris Adryan, Frank Gerlach, et al.. (2008). Oxygen‐induced changes in hemoglobin expression in Drosophila. FEBS Journal. 275(20). 5108–5116. 26 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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