Peter Aaby

599 papers receiving 24.8k citations

Peter Aaby's Hit Papers

BCG Vaccination Protects against Experimental Viral Infection in Humans through the Induction of Cytokines Associated with Trained Immunity 2018 · 824 citations
8240+8+16Years since publication250500750

Peers

Peter Aaby
Comparison fields: 5 of 182
  • Immunology 12.1k
  • Health 4.3k
  • Infectious Diseases 5.8k
  • Virology 1.2k
  • Obstetrics and Gynecology 1.4k
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Citations per year

Countries citing papers authored by Peter Aaby

Since Specialization
Citations

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

Fields of papers citing papers by Peter Aaby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 611 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The Danish National Birth Cohort - its background, structure and aim
Hit paper breakdown →
2001879
2
BCG Vaccination Protects against Experimental Viral Infection in Humans through the Induction of Cytokines Associated with Trained Immunity
Hit paper breakdown →
2018824
3 1996449
4
Long-Lasting Effects of BCG Vaccination on Both Heterologous Th1/Th17 Responses and Innate Trained Immunity
Hit paper breakdown →
2013445
5 2011440
6
A small jab – a big effect: nonspecific immunomodulation by vaccines
Hit paper breakdown →
2013386
7 1999329
8 2000319
9 2009309
10 1995277
11 2003267
12 2010230
13 2002228
14 2017210
15 2004194
16 2011190
17 2005189
18 2000183
19 2019168
20 2018166

About Peter Aaby

Peter Aaby is a scholar working on Immunology, Epidemiology, Health, Infectious Diseases and Nutrition and Dietetics, having authored 611 papers that have together received 25.6k indexed citations. Recurring topics across this work include Immune responses and vaccinations (270 papers), Vaccine Coverage and Hesitancy (103 papers), Virology and Viral Diseases (68 papers), Child Nutrition and Water Access (42 papers), Global Maternal and Child Health (25 papers), Tuberculosis Research and Epidemiology (25 papers), HIV Research and Treatment (24 papers) and HIV/AIDS Research and Interventions (24 papers). The work is most often cited by research in Immunology (12.1k citations), Health (4.3k citations), Infectious Diseases (5.8k citations), Virology (1.2k citations) and Obstetrics and Gynecology (1.4k citations). Peter Aaby has collaborated with scholars based in Denmark, Guinea-Bissau and Gambia. Frequent co-authors include Christine Stabell Benn, Ida Maria Lisse, Amabélia Rodrigues, Hilton Whittle, Henrik Ravn, Henrik Jensen, Morten Sodemann, Ane Bærent Fisker, Kåre Mølbak and Cesário Martins. Their work appears in journals such as Vaccine, The Journal of Infectious Diseases, International Journal of Epidemiology, The Pediatric Infectious Disease Journal and Clinical 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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