J. Eibl

527 citations
18 papers · 402 indexed · h-index 10

Impact in

  • Genetics top 10%
    • Mesenchymal stem cell research
    • Virus-based gene therapy research
  • Virology top 10%

Papers in

    • Blood Coagulation and Thrombosis Mechanisms 4
    • HIV Research and Treatment 2

J. Eibl

16 papers receiving 383 citations

Peers

J. Eibl
Comparison fields: 5 of 73
  • Genetics 93
  • Virology 36
  • Hematology 77
  • Urology 37
  • Radiology, Nuclear Medicine and Imaging 133
Replace B.‐L. Hsi with:
B.‐L. Hsi France
Luisa Mori United States
D. Hartwig Germany
Katja Hofer Austria
Femia Kievits Netherlands
Ciro R. Martins United States
Byoung Y. Ryu United States
Marian Dmochowski Poland
Elisabet Gustafson Sweden
Valerie Saw United Kingdom
J. Eibl relative to B.‐L. Hsi France B.‐L. Hsi's profile →
Citations per field
00.5×
B.‐L. Hsi · 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

18 of 18 papers shown
#Work
1 200693
2 199655
3 198948
4 201040
5 201539
6 201328
7 199621
8 199721
9 201415
10 199212
11 19969
12 19889
13 19967
14 19962
15
At what stage should virus inactivation be carried out?
19932
16 19891
17 19960
18 20130

About J. Eibl

J. Eibl is a scholar working on Hematology, Virology, Genetics, Management of Technology and Innovation and Radiology, Nuclear Medicine and Imaging, having authored 18 papers that have together received 402 indexed citations. Recurring topics across this work include Corneal Surgery and Treatments (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Mesenchymal stem cell research (3 papers), Tissue Engineering and Regenerative Medicine (3 papers), HIV Research and Treatment (2 papers), Nasal Surgery and Airway Studies (2 papers), Virus-based gene therapy research (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Genetics (93 citations), Virology (36 citations), Hematology (77 citations), Urology (37 citations) and Radiology, Nuclear Medicine and Imaging (133 citations). J. Eibl has collaborated with scholars based in Austria, Iran and Canada. Frequent co-authors include Heinz Redl, Friedrich Dorner, Christian Gabriel, Simone Hennerbichler, Artur Mitterer, Wolfgang Mundt, Susanne Wolbank, Bernhard Fischer, Andrea Lindenmair and Perry Barrett. Their work appears in journals such as Transfusion, Placenta, Vaccine, Annals of the Rheumatic Diseases and Journal of Medical Virology.

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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