Daniela Abriss

758 citations
9 papers · 176 · h-index 8

Impact in

    • Hemophilia Treatment and Research
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments
    • Virus-based gene therapy research

Papers in

    • Virus-based gene therapy research 5
    • RNA Interference and Gene Delivery 2
    • Viral Infectious Diseases and Gene Expression in Insects 2

Daniela Abriss

9 papers receiving 171 citations

Peers

Daniela Abriss
Comparison fields: 5 of 39
  • Hematology 48
  • Genetics 78
  • Genetics 17
  • Cell Biology 23
  • Molecular Biology 93
Replace Gesa Hoffmann with:
Gesa Hoffmann Sweden
Katerina Bendak Australia
Andra Li Canada
Judit Serrat Spain
E. S. Ioudinkova Russia
X.‐L. Wu United States
Kensaku Murano Japan
Satoko Kaneko Japan
Mark Geanacopoulos United States
Vidya Balagopal United States
Daniela Abriss relative to Gesa Hoffmann Sweden Gesa Hoffmann's profile →
Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Daniela Abriss, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniela Abriss Line = papers co-authored together Daniela Abriss links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 201234
2 201828
3 200826
4 201126
5 201422
6 201015
7 201412
8 201410
9 20093

About Daniela Abriss

Daniela Abriss is a scholar working on Genetics, Molecular Biology, Hematology, Cardiology and Cardiovascular Medicine and Cell Biology, having authored 9 papers that have together received 176 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), Hemophilia Treatment and Research (4 papers), RNA Interference and Gene Delivery (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers), Viral Infections and Immunology Research (2 papers), Animal Virus Infections Studies (1 paper) and Physiological and biochemical adaptations (1 paper). The work is most often cited by research in Hematology (48 citations), Genetics (78 citations), Genetics (17 citations), Cell Biology (23 citations) and Molecular Biology (93 citations). Daniela Abriss has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Jörg Schüttrumpf, Erhard Seifried, Torsten Tonn, Patricia Quade-Lyssy, Manuel Grez, Stefanie Roth, Jeremy C. Simpson, Rainer Pepperkok, Reinhard Schuh and Boris Adryan. Their work appears in journals such as Journal of Thrombosis and Haemostasis, Molecular Therapy, Human Gene Therapy, Blood and FEBS Journal.

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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