J. Eibl

532 citations
21 papers · 441 · h-index 11

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
  • Virology top 10%
    • HIV Research and Treatment

Papers in

J. Eibl

18 papers receiving 402 citations

Peers

J. Eibl
Comparison fields: 5 of 66
  • Genetics 97
  • Virology 42
  • Hematology 81
  • Radiology, Nuclear Medicine and Imaging 136
  • Urology 28
Replace Femia Kievits with:
Femia Kievits Netherlands
Marina E. Fomin United States
Riste Saat Finland
Amy Cuthbert United States
Edward W. Schettino United States
Elena Skorobogatova Russia
Magali Le Discorde France
Raúl Pérez Bianco Argentina
C Thielemans Belgium
Sid Sidhu United Kingdom
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Citations per field
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Femia Kievits · 1×
Citations per year

Countries citing papers authored by J. Eibl

Since Specialization
Citations

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

Fields of papers citing papers by J. Eibl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J. Eibl, 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 J. Eibl Line = papers co-authored together J. Eibl links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006102
2 199658
3 198956
4 201044
5 201543
6 201329
7 199721
8 199621
9 201416
10 199214
11 198812
12 19969
13 19967
14
At what stage should virus inactivation be carried out?
19932
15 19962
16 19942
17 19882
18 19891
19 19870
20 20090

About J. Eibl

J. Eibl is a scholar working on Hematology, Management of Technology and Innovation, Virology, Hepatology and Radiology, Nuclear Medicine and Imaging, having authored 21 papers that have together received 441 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (4 papers), Hepatitis B Virus Studies (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Blood donation and transfusion practices (4 papers), HIV Research and Treatment (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), Mesenchymal stem cell research (3 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Genetics (97 citations), Virology (42 citations), Hematology (81 citations), Radiology, Nuclear Medicine and Imaging (136 citations) and Urology (28 citations). J. Eibl has collaborated with scholars based in Austria and Canada. Frequent co-authors include Heinz R. Redl, Friedrich Dorner, Christian Gabriel, Simone Hennerbichler, Artur Mitterer, Wolfgang Mundt, Susanne Wolbank, Andrea Lindenmair, Bernhard E Fischer and Perry Barrett. Their work appears in journals such as Thrombosis and Haemostasis, Journal of Thrombosis and Thrombolysis, Transfusion, Journal of Medical Virology and Placenta.

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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