T. Sydler

1.4k citations
92 papers · 1.1k indexed · h-index 19

Impact in

Papers in

T. Sydler

90 papers receiving 1.1k citations

Peers

T. Sydler
Comparison fields: 5 of 83
  • Microbiology 248
  • Animal Science and Zoology 330
  • Endocrinology 140
  • Small Animals 188
  • Parasitology 166
Replace S. Perl with:
S. Perl Israel
Greg D. Appleyard Canada
Magdalena Dunowska New Zealand
Dale L. Godson Canada
Richard Drolet Canada
G. R. Pearson United Kingdom
Kevin K. Lahmers United States
Masanobu Kamada Japan
Jarosław Kaba Poland
Gregg A. Dean United States
T. Sydler relative to S. Perl Israel S. Perl's profile →
Citations per field
00.5×1.5×1.8×
S. Perl · 1×
Citations per year

Countries citing papers authored by T. Sydler

Since Specialization
Citations

This map shows the geographic impact of T. Sydler'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 T. Sydler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Sydler more than expected).

Fields of papers citing papers by T. Sydler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20227
2 20201
3 20201
4 20182
5 201610
6 20153
7 20143
8 20132
9 20119
10 20111
11 20101
12 20093
13 200828
14 20064
15 20043
16 20047
17 200313
18
Zerebrale Listeriose bei Schaf und Ziege: eine histopathologische und immunhistologische Studie
20012
19 200024
20
Prevalence of fimbriae 107 in the intestine of pigs with oedema disease or postweaning E. coli diarrhoea.
19905

About T. Sydler

T. Sydler is a scholar working on Microbiology, Small Animals, Animal Science and Zoology, Parasitology and Agronomy and Crop Science, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Virus Infections Studies (19 papers), Viral gastroenteritis research and epidemiology (13 papers), Microbial infections and disease research (12 papers), Virus-based gene therapy research (10 papers), Reproductive tract infections research (9 papers), Viral Infections and Immunology Research (9 papers), Mycobacterium research and diagnosis (8 papers) and Parasitic Infections and Diagnostics (8 papers). The work is most often cited by research in Microbiology (248 citations), Animal Science and Zoology (330 citations), Endocrinology (140 citations), Small Animals (188 citations) and Parasitology (166 citations). T. Sydler has collaborated with scholars based in Switzerland, Germany and United Kingdom. Frequent co-authors include A. Pospischil, Xaver Sidler, Enrico Brugnera, U. Braun, L. Corboz, Franco Guscetti, Peter Deplazes, Irene Schiller, H.U. Bertschinger and M. Stamm. Their work appears in journals such as Veterinary Microbiology, Journal of Comparative Pathology, Veterinary Record, Acta veterinaria Scandinavica and Veterinary Pathology.

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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