F. Schilcher

24 papers receiving 512 citations

Peers

F. Schilcher
Comparison fields: 5 of 67
  • Biotechnology 107
  • Animal Science and Zoology 121
  • Immunology 186
  • Microbiology 46
  • Food Science 100
Replace Mark J. Redmond with:
Mark J. Redmond Canada
Maung San Myint United States
Rongyu Zeng United States
Taishi Tanabe Japan
H. Fey Switzerland
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Leonardo Sáenz Chile
René Minnaar Netherlands
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Citations per year

Countries citing papers authored by F. Schilcher

Since Specialization
Citations

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

Fields of papers citing papers by F. Schilcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995111
2 199584
3 200453
4 200552
5 200449
6 200526
7 201225
8
Effects of Thymus vulgaris L. as feed additive in piglets and against haemolytic E. coli in vitro.
200622
9 200319
10 200713
11
Erstmalige Beschreibung des "Postweaning multisystemic wasting syndrome" (PMWS) in einem österreichischen Schweinebetrieb
200211
12 199711
13 200510
14 19989
15
Occurrence of viral haemorrhagic disease of rabbits in Austria. I. Pathological and virological investigations.
19908
16 20147
17 19987
18 20076
19 20065
20
Rabbit Haemorrhagic disease (RHD): Klinische, hämatologisch-chemische, virologisch-serologische und pathomorphologische Untersuchungen an experimentell infizierten Hauskaninchen
19935

About F. Schilcher

F. Schilcher is a scholar working on Animal Science and Zoology, Infectious Diseases, Genetics, Small Animals and Immunology, having authored 24 papers that have together received 545 indexed citations. Recurring topics across this work include Animal Virus Infections Studies (7 papers), Viral gastroenteritis research and epidemiology (6 papers), Virus-based gene therapy research (4 papers), Microbial infections and disease research (3 papers), Immunotherapy and Immune Responses (3 papers), T-cell and B-cell Immunology (2 papers), Tumors and Oncological Cases (2 papers) and Veterinary Oncology Research (2 papers). The work is most often cited by research in Biotechnology (107 citations), Animal Science and Zoology (121 citations), Immunology (186 citations), Microbiology (46 citations) and Food Science (100 citations). F. Schilcher has collaborated with scholars based in Austria, Switzerland and Australia. Frequent co-authors include Max L. Birnstiel, M Berger, Tamás Schweighoffer, Gerd Maass, Wolfgang Schmidt, P. Winter, Zoltán Bagó, G. Schaffner, Monika Egerbacher and Martin Wagner. Their work appears in journals such as Veterinary Immunology and Immunopathology, Veterinary Pathology, Proceedings of the National Academy of Sciences, Veterinary Record and Cellular Microbiology.

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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