Dag Berild

79 papers receiving 946 citations

Peers

Dag Berild
Comparison fields: 5 of 113
  • Applied Microbiology and Biotechnology 266
  • Parasitology 91
  • Clinical Biochemistry 64
  • Molecular Medicine 41
  • Epidemiology 234
Replace Patricia Pavèse with:
Patricia Pavèse France
Recep Tekin Türkiye
Vijay Yewale India
Valeria Fabre United States
C. Ruef Switzerland
Debra L. Palazzi United States
Patricia Demarais United States
Mats Erntell Sweden
Lawrence L. Pelletier United States
J.P. Bru France
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Citations per field
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Citations per year

Countries citing papers authored by Dag Berild

Since Specialization
Citations

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

Fields of papers citing papers by Dag Berild

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200557
2 201541
3 201636
4 202033
5 200132
6
Influence of prescription patterns in general practice on anti-microbial resistance in Norway.
199931
7 200629
8 200229
9 200226
10 201126
11 201525
12 200224
13 202223
14 202222
15 199222
16 200322
17 200622
18 201820
19 199318
20 198517

About Dag Berild

Dag Berild is a scholar working on Epidemiology, Applied Microbiology and Biotechnology, Infectious Diseases, Molecular Biology and Genetics, having authored 84 papers that have together received 984 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (23 papers), Pneumonia and Respiratory Infections (9 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (6 papers), Clostridium difficile and Clostridium perfringens research (5 papers), Neonatal and Maternal Infections (5 papers), Vector-borne infectious diseases (4 papers), Antibiotic Resistance in Bacteria (4 papers) and Chronic Myeloid Leukemia Treatments (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (266 citations), Parasitology (91 citations), Clinical Biochemistry (64 citations), Molecular Medicine (41 citations) and Epidemiology (234 citations). Dag Berild has collaborated with scholars based in Norway, Denmark and Sweden. Frequent co-authors include S Ringertz, Morten Lindbæk, Hans Carl Hasselbalch, Mogens Jensenius, Harald Reiso, Mark J. Fagan, Jon Birger Haug, Pierre Bouchelouche, Fernanda C. Petersen and Per Hjortdahl. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, BMC Infectious Diseases, Scandinavian Journal of Clinical and Laboratory Investigation, Infectious Diseases and Scandinavian Journal of Gastroenterology.

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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