Bo Nilson

65 papers receiving 1.9k citations

Peers

Bo Nilson
Comparison fields: 5 of 117
  • Clinical Biochemistry 250
  • Insect Science 207
  • Infectious Diseases 260
  • Epidemiology 446
  • Microbiology 86
Replace Michelle C. Callegan with:
Michelle C. Callegan United States
Prashant Garg India
E. Magda Barbu United States
Hwan Keun Kim United States
Germain J. P. Fernando Australia
Jesús Martínez-Barnetche Mexico
Joseph E. Alouf France
Kimmo Virtaneva United States
Kyung H. Choi United States
Thomas Areschoug Sweden
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Citations per field
00.5×4.7×
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Citations per year

Countries citing papers authored by Bo Nilson

Since Specialization
Citations

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

Fields of papers citing papers by Bo Nilson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1992180
2 2014146
3 201293
4 201987
5 199381
6
Targeting of retroviral vectors through protease-substrate interactions.
199675
7
The structure of the adrenaline and noradrenaline containing granules in the adrenal medullary cells with reference to the storage and release of the sympathomimetic amines.
195473
8 199665
9 199360
10 199560
11 201751
12 199651
13 201049
14 201446
15 202044
16 201443
17 198342
18 201541
19 201439
20 201838

About Bo Nilson

Bo Nilson is a scholar working on Epidemiology, Clinical Biochemistry, Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology, having authored 65 papers that have together received 1.9k indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (23 papers), Streptococcal Infections and Treatments (22 papers), Infective Endocarditis Diagnosis and Management (21 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Antimicrobial Resistance in Staphylococcus (7 papers), Glycosylation and Glycoproteins Research (6 papers), Insect and Pesticide Research (5 papers) and Neonatal and Maternal Infections (5 papers). The work is most often cited by research in Clinical Biochemistry (250 citations), Insect Science (207 citations), Infectious Diseases (260 citations), Epidemiology (446 citations) and Microbiology (86 citations). Bo Nilson has collaborated with scholars based in Sweden, United Kingdom and Denmark. Frequent co-authors include Bo Åkerström, Magnus Rasmussen, Lars Björck, Alan Solomon, Alejandra Vásquez, Tobias C. Olofsson, E. I. Butler, Stephen J. Russell, Frances J. Morling and François‐Loïc Cosset. Their work appears in journals such as European Journal of Clinical Microbiology & Infectious Diseases, Journal of Immunological Methods, Diagnostic Microbiology and Infectious Disease, Open Forum Infectious Diseases and 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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