B. David Persson

954 citations
22 papers · 681 · h-index 14

Impact in

Papers in

B. David Persson

20 papers receiving 657 citations

Peers

B. David Persson
Comparison fields: 5 of 70
  • Genetics 411
  • Infectious Diseases 221
  • Immunology 132
  • Oncology 152
  • Epidemiology 167
Replace Jort Vellinga with:
Jort Vellinga Netherlands
Patrick Younan United States
Joanita Figueredo United States
A L Notkins United States
Zoltán Bánki Austria
Jeffrey E. Teigler United States
Nicola Logan United Kingdom
Kejun Guo United States
Jerry C H Tam United Kingdom
Petra B. van den Doel Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by B. David Persson

Since Specialization
Citations

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

Fields of papers citing papers by B. David Persson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by B. David Persson. 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 B. David Persson. The network helps show where B. David Persson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005122
2 200783
3 201083
4 201459
5 200852
6 200651
7 202050
8 201036
9 201728
10 201826
11 201821
12 202017
13 202213
14 200613
15 202111
16 20226
17 20233
18 20243
19 20212
20 20242

About B. David Persson

B. David Persson is a scholar working on Genetics, Infectious Diseases, Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 681 indexed citations. Recurring topics across this work include Virus-based gene therapy research (13 papers), Viral gastroenteritis research and epidemiology (7 papers), Viral Infections and Immunology Research (4 papers), Respiratory viral infections research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), CAR-T cell therapy research (2 papers), Aquaculture disease management and microbiota (2 papers) and Environmental DNA in Biodiversity Studies (2 papers). The work is most often cited by research in Genetics (411 citations), Infectious Diseases (221 citations), Immunology (132 citations), Oncology (152 citations) and Epidemiology (167 citations). B. David Persson has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Niklas Arnberg, Marko Marttila, Thilo Stehle, Göran Wadell, José M. Casasnovas, Lars Frängsmyr, John Atkinson, M. Kathryn Liszewski, Dirk M. Reiter and Rachel Fearns. Their work appears in journals such as Journal of Virology, Viruses, Journal of Fish Diseases, Scientific Reports and PLoS Pathogens.

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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