M.F. Weber

31 papers receiving 385 citations

Peers

M.F. Weber
Comparison fields: 5 of 48
  • Small Animals 89
  • Epidemiology 288
  • Microbiology 46
  • Agronomy and Crop Science 72
  • Infectious Diseases 87
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Citations per year

Countries citing papers authored by M.F. Weber

Since Specialization
Citations

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

Fields of papers citing papers by M.F. Weber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201563
2
[Outbreak of bovine virus diarrhea on Dutch dairy farms induced by a bovine herpesvirus 1 marker vaccine contaminated with bovine virus diarrhea virus type 2].
200154
3 201047
4 201035
5 200829
6 200424
7 200923
8 200616
9 200812
10 200510
11 20219
12
[Prospective study of 64 cases of Kawasaki's disease].
19858
13 20187
14 20117
15 20117
16 20066
17
Monitoring programmes for paratuberculosis-unsuspected cattle herds, based on quantification of between-herd transmission
20026
18 20245
19
Development of a milk quality assurance program for paratuberculosis: from within- and between herd dynamics to economic decision analysis
20055
20 20114

About M.F. Weber

M.F. Weber is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Small Animals and Microbiology, having authored 33 papers that have together received 404 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (23 papers), Animal Disease Management and Epidemiology (6 papers), Microbial infections and disease research (5 papers), Liver Disease and Transplantation (4 papers), Infectious Diseases and Mycology (4 papers), Tuberculosis Research and Epidemiology (3 papers), Vector-Borne Animal Diseases (2 papers) and Ginseng Biological Effects and Applications (2 papers). The work is most often cited by research in Small Animals (89 citations), Epidemiology (288 citations), Microbiology (46 citations), Agronomy and Crop Science (72 citations) and Infectious Diseases (87 citations). M.F. Weber has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include G. van Schaik, H.J.W. van Roermund, M. Nielen, Huybert Groenendaal, Pauline Ezanno, Y.H. Schukken, A.G.J. Velthuis, Dirk U. Pfeiffer, Rebecca Mitchell and Yoram Louzoun. Their work appears in journals such as Preventive Veterinary Medicine, Veterinary Research, Animals, Journal of Dairy Science and Journal of Veterinary Internal Medicine.

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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