Maria Desmidt

458 citations
21 papers · 383 · h-index 13

Impact in

Papers in

Maria Desmidt

21 papers receiving 355 citations

Peers

Maria Desmidt
Comparison fields: 5 of 71
  • Microbiology 54
  • Animal Science and Zoology 83
  • Infectious Diseases 128
  • Food Science 121
  • Endocrinology 26
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R M Poston United States
C. Pollera Italy
D Kruszewska Poland
M. Palanivelu India
Sz. Jánosi Hungary
Olof Holmberg Sweden
Hana Štěpánová Czechia
Gavino Marogna Italy
Beatrice Bissig-Choisat United States
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Citations per field
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Citations per year

Countries citing papers authored by Maria Desmidt

Since Specialization
Citations

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

Fields of papers citing papers by Maria Desmidt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201149
2 199646
3 199839
4 199429
5 199829
6
Experimental Streptococcus bovis infections in pigeons.
199327
7 199526
8
CANINE X-LINKED MUSCULAR-DYSTROPHY IN BELGIAN GROENENDAELER SHEPHERDS.
199323
9 199222
10 199714
11 199613
12 199113
13 199113
14 199710
15 20167
16 19945
17 19985
18 20134
19 19944
20
Infectious bursal disease in Europe, consequences of changing epidemiological conditions
19954

About Maria Desmidt

Maria Desmidt is a scholar working on Food Science, Infectious Diseases, Immunology, Microbiology and Pharmacology, having authored 21 papers that have together received 383 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (5 papers), Microbial infections and disease research (4 papers), Bacteriophages and microbial interactions (3 papers), Aquaculture disease management and microbiota (3 papers), Streptococcal Infections and Treatments (2 papers), Viral Infections and Vectors (2 papers), Animal Nutrition and Physiology (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Microbiology (54 citations), Animal Science and Zoology (83 citations), Infectious Diseases (128 citations), Food Science (121 citations) and Endocrinology (26 citations). Maria Desmidt has collaborated with scholars based in Belgium, United States and United Kingdom. Frequent co-authors include Freddy Haesebrouck, Richard Ducatelle, L. Devriese, R. Ducatelle, Peter De Herdt, J. Hoorens, Nigel G. Ramsden, Carsten Hopf, Michiel Verlinden and Eric Karran. Their work appears in journals such as Veterinary Record, Avian Pathology, Poultry Science, Epidemiology and Infection and British Journal of Pharmacology.

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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