U. Vecht

1.7k citations
32 papers · 1.3k indexed · h-index 19

U. Vecht

32 papers receiving 1.2k citations

Peers

U. Vecht
Comparison fields: 5 of 60
  • Microbiology 266
  • Public Health, Environmental and Occupational Health 1.1k
  • Infectious Diseases 600
  • Endocrinology 113
  • Virology 51
Replace H. E. Smith with:
H. E. Smith Netherlands
Astrid de Greeff Netherlands
Sonia Lacouture Canada
Marylène Kobisch France
Corinne Marois‐Créhan France
Xiuzhen Pan China
Haolin Ni United States
M. Kobisch France
Carl Robinson United Kingdom
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-authorship network

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
#Work
1 199924
2 199916
3 199951
4 199725
5 199722
6 19975
7 199634
8 199687
9 199555
10 199316
11 199270
12 1992135
13 19916
14
Dutch National Mastitis Survey. The value of bulk milk cell counts in diagnosing bovine mastitis.
19903
15
Dutch national mastitis survey. The effect of herd and animal factors on somatic cell count
198911
16 1989104
17
[Streptococcus suis type 2 in swine. An imported problem?].
19872
18 19878
19
[Klebsiella pneumoniae mastitis as a dairying problem].
19875
20 198558

About U. Vecht

U. Vecht is a scholar working on Agronomy and Crop Science, Endocrinology, Infectious Diseases, Public Health, Environmental and Occupational Health and Microbiology, 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), Infective Endocarditis Diagnosis and Management (3 papers) and Infections and bacterial resistance (3 papers). The work is most often cited by research in Microbiology (266 citations), Public Health, Environmental and Occupational Health (1.1k citations), Infectious Diseases (600 citations), Endocrinology (113 citations) and Virology (51 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, Veterinary Record and Advances in experimental medicine and biology.

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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