V. Bitsch

42 papers receiving 729 citations

Peers

V. Bitsch
Comparison fields: 5 of 49
  • Agronomy and Crop Science 429
  • Microbiology 110
  • Ecology, Evolution, Behavior and Systematics 282
  • Epidemiology 425
  • Infectious Diseases 223
Replace E.M.A. van Rooij with:
E.M.A. van Rooij Netherlands
Frédéric Schynts Belgium
Reto Zanoni Switzerland
M. Elvander Sweden
J. Herring United Kingdom
D. Hüssy Switzerland
A. H. Dardiri United States
D.B. Boyle Australia
T. D. St. George Australia
M. Tollis Italy
V. Bitsch relative to E.M.A. van Rooij Netherlands E.M.A. van Rooij's profile →
Citations per field
00.5×1.5×1.9×
E.M.A. van Rooij · 1×
Citations per year

Countries citing papers authored by V. Bitsch

Since Specialization
Citations

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

Fields of papers citing papers by V. Bitsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199591
2 200080
3 200074
4 197345
5 197845
6 197944
7 199038
8 197638
9 197637
10 200035
11
Evaluation of an O antigen enzyme-linked immunosorbent assay for screening of milk samples for Salmonella dublin infection in dairy herds.
199532
12
Serodiagnosis of Salmonella dublin infection in Danish dairy herds using O-antigen based enzyme-linked immunosorbent assay.
199428
13 197326
14 198725
15 199325
16 200122
17 200120
18
Testing of bulk tank milk for Salmonella Dublin infection in Danish dairy herds.
200117
19 197516
20 199512

About V. Bitsch

V. Bitsch is a scholar working on Agronomy and Crop Science, Epidemiology, Animal Science and Zoology, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 43 papers that have together received 877 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (22 papers), Herpesvirus Infections and Treatments (15 papers), Animal Virus Infections Studies (10 papers), Vector-Borne Animal Diseases (9 papers), Virus-based gene therapy research (7 papers), Microbial infections and disease research (6 papers), Viral gastroenteritis research and epidemiology (5 papers) and T-cell and Retrovirus Studies (4 papers). The work is most often cited by research in Agronomy and Crop Science (429 citations), Microbiology (110 citations), Ecology, Evolution, Behavior and Systematics (282 citations), Epidemiology (425 citations) and Infectious Diseases (223 citations). V. Bitsch has collaborated with scholars based in Denmark, United Kingdom and Sweden. Frequent co-authors include L. Rønsholt, Søren Saxmose Nielsen, Hans Houe, Stig Milan Thamsborg, Jeffrey Hoorfar, Peter Lind, K. B. Pedersen, Sten Winblad, Ν. F. Friis and Laurids Siig Christensen. Their work appears in journals such as Acta veterinaria Scandinavica, Veterinary Microbiology, Preventive Veterinary Medicine, Journal of Wildlife Diseases and Veterinary Clinics of North America Food Animal Practice.

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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