F Orskov

1.0k citations
16 papers · 717 · h-index 13

Impact in

    • Escherichia coli research studies
    • Enterobacteriaceae and Cronobacter Research
    • Antibiotic Resistance in Bacteria

Papers in

    • Escherichia coli research studies 12
    • Bacteriophages and microbial interactions 5

F Orskov

15 papers receiving 609 citations

Peers

F Orskov
Comparison fields: 5 of 65
  • Endocrinology 469
  • Molecular Medicine 118
  • Microbiology 41
  • Epidemiology 155
  • Genetics 132
Replace V. Väisänen with:
V. Väisänen Finland
Sara Hull United States
S.J. Hultgren United States
B I Eisenstein United States
Sheila I. Hull United States
В. Л. Чеснокова United States
Amanda L. Lloyd United States
Daniël J. Wurpel Australia
Alvin W. Lo Australia
Sarah E. Greene United States
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Citations per field
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V. Väisänen · 1×
Citations per year

Countries citing papers authored by F Orskov

Since Specialization
Citations

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

Fields of papers citing papers by F Orskov

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 1980180
2
O, K, H and fimbrial antigens in Escherichia coli serotypes associated with pyelonephritis and cystitis.
1982107
3 1982105
4 199486
5 198349
6 199231
7 199029
8 198729
9 199026
10 198116
11 198616
12 198315
13 198212
14 19888
15
What is the nature of E. coli antigens? An attempt to analyse the K-antigens by various serological methods.
19688
16
[The incidence of dyspepsia caused by 2 different sero- and lysotypes of the same coli serogroup [055:K59(B5):..].
19600

About F Orskov

F Orskov is a scholar working on Endocrinology, Ecology, Epidemiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 16 papers that have together received 717 indexed citations. Recurring topics across this work include Escherichia coli research studies (12 papers), Bacteriophages and microbial interactions (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Glycosylation and Glycoproteins Research (2 papers), Pediatric Urology and Nephrology Studies (2 papers), Infant Nutrition and Health (2 papers) and Urinary Tract Infections Management (2 papers). The work is most often cited by research in Endocrinology (469 citations), Molecular Medicine (118 citations), Microbiology (41 citations), Epidemiology (155 citations) and Genetics (132 citations). F Orskov has collaborated with scholars based in Denmark, Sweden and Germany. Frequent co-authors include I Orskóv, A. Birch‐Andersen, Per Klemm, C Svanborg-Edén, M Kanamori, Klaus Jann, Walter E. Stamm, Bertrand Picard, P Goullet and Pacita L. Roberts. Their work appears in journals such as Infection and Immunity, Journal of Clinical Microbiology, Microbiology, The Journal of Infectious Diseases and Epidemiology and Infection.

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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