U. Vecht

32 papers receiving 1.2k citations

Peers

U. Vecht
Comparison fields: 5 of 59
  • Public Health, Environmental and Occupational Health 1.1k
  • Microbiology 250
  • Infectious Diseases 569
  • Endocrinology 113
  • Virology 48
Replace H. E. Smith with:
H. E. Smith Netherlands
Astrid de Greeff Netherlands
Sonia Lacouture Canada
Marylène Kobisch France
Xiuzhen Pan China
Haolin Ni United States
Corinne Marois‐Créhan France
Carl Robinson United Kingdom
M. Kobisch France
J Kazár Slovakia
U. Vecht relative to H. E. Smith Netherlands H. E. Smith's profile →
Citations per field
00.5×1.5×
H. E. Smith · 1×
Citations per year

Countries citing papers authored by U. Vecht

Since Specialization
Citations

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

Fields of papers citing papers by U. Vecht

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991193
2 1992136
3 1989104
4 199686
5
Production of virulence-related proteins by Canadian strains of Streptococcus suis capsular type 2.
199883
6 200176
7 199372
8 199269
9 198558
10 199555
11 199954
12 198543
13 199741
14
Prevalence of various phenotypes of Streptococcus suis isolated from swine in the U.S.A. based on the presence of muraminidase-released protein and extracellular factor.
199641
15 199634
16 199725
17 199924
18 199722
19 199919
20 199916

About U. Vecht

U. Vecht is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Agronomy and Crop Science, Epidemiology and Plant Science, having authored 32 papers that have together received 1.3k indexed citations. Recurring topics across this work include Streptococcal Infections and Treatments (20 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Neonatal and Maternal Infections (9 papers), Milk Quality and Mastitis in Dairy Cows (7 papers), Plant Pathogenic Bacteria Studies (6 papers), Microbial infections and disease research (4 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (1.1k citations), Microbiology (250 citations), Infectious Diseases (569 citations), Endocrinology (113 citations) and Virology (48 citations). U. Vecht has collaborated with scholars based in Netherlands, Serbia and Czechia. Frequent co-authors include Henk J. Wisselink, H. E. Smith, M.A. Smits, Norbert Stockhofe-Zurwieden, L.A.M.G. van Leengoed, A. L. J. Gielkens, E. J. van der Molen, J. E. van Dijk, Hilde E. Smith and Jan P. Arends. Their work appears in journals such as Veterinary Microbiology, Infection and Immunity, Veterinary Quarterly, Advances in experimental medicine and biology and Netherlands milk and dairy journal.

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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