Michael Dalager‐Pedersen

1.5k citations
44 papers · 861 · h-index 15

Impact in

Papers in

    • Bacterial Infections and Vaccines 10
    • Influenza Virus Research Studies 4
    • Infective Endocarditis Diagnosis and Management 2

Michael Dalager‐Pedersen

42 papers receiving 836 citations

Peers

Michael Dalager‐Pedersen
Comparison fields: 5 of 86
  • Microbiology 268
  • Microbiology 9
  • Internal Medicine 30
  • Infectious Diseases 142
  • Epidemiology 224
Replace Shigeo Hanada with:
Shigeo Hanada Japan
Fulvia Mazzaferri Italy
Sun Bean Kim South Korea
Hussam Al Soub Qatar
Francisco Javier Martínez‐Marcos Spain
Didier Pinquier France
Kévin Bouiller France
Cheryl Main Canada
Fredrik Kahn Sweden
Benjamin Wyplosz France
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Citations per field
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Citations per year

Countries citing papers authored by Michael Dalager‐Pedersen

Since Specialization
Citations

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

Fields of papers citing papers by Michael Dalager‐Pedersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael Dalager‐Pedersen. 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 Michael Dalager‐Pedersen. The network helps show where Michael Dalager‐Pedersen may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021121
2 2014117
3 201675
4 201973
5 201947
6 201742
7 201939
8 201434
9 202133
10 201429
11 202027
12 201818
13 201818
14 201418
15 201916
16 202414
17 201713
18 202212
19 201511
20 201110

About Michael Dalager‐Pedersen

Michael Dalager‐Pedersen is a scholar working on Microbiology, Epidemiology, Infectious Diseases, Oncology and Clinical Biochemistry, having authored 44 papers that have together received 861 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (10 papers), Influenza Virus Research Studies (4 papers), COVID-19 and healthcare impacts (3 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Infective Endocarditis Diagnosis and Management (2 papers), Antimicrobial Resistance in Staphylococcus (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Venous Thromboembolism Diagnosis and Management (1 paper). The work is most often cited by research in Microbiology (268 citations), Microbiology (9 citations), Internal Medicine (30 citations), Infectious Diseases (142 citations) and Epidemiology (224 citations). Michael Dalager‐Pedersen has collaborated with scholars based in Denmark, United States and Netherlands. Frequent co-authors include Jacob Bodilsen, Henrik Nielsen, Henrik Carl Schønheyder, Mette Søgaard, Henrik Nielsen, Matthijs C. Brouwer, Diederik van de Beek, Reimar W. Thomsen, Hans Linde Nielsen and Torben Bjerregaard Larsen. Their work appears in journals such as Clinical Infectious Diseases, Clinical Microbiology and Infection, American Heart Journal, AIDS and Open Forum Infectious Diseases.

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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