John Brunstein

641 citations
26 papers · 448 · h-index 10

Impact in

    • Parvovirus B19 Infection Studies
    • Viral gastroenteritis research and epidemiology
    • Dermatological and COVID-19 studies

Papers in

John Brunstein

24 papers receiving 433 citations

Peers

John Brunstein
Comparison fields: 5 of 62
  • Infectious Diseases 251
  • Dermatology 84
  • Epidemiology 222
  • Otorhinolaryngology 22
  • Animal Science and Zoology 30
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Charlene K. Edelman United States
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Citations per field
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Citations per year

Countries citing papers authored by John Brunstein

Since Specialization
Citations

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

Fields of papers citing papers by John Brunstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007108
2 200757
3 200055
4 199947
5 200646
6 200034
7 200920
8 200116
9 199716
10 199615
11
Freeze-thaw cycles and nucleic acid stability: what's safe for your samples?
20158
12 20124
13
PCR: the basics of the polymerase chain reaction.
20134
14
Digital PCR: theory and applications.
20133
15
Interpretation of qPCR curve shapes.
20153
16
Antithrombin III levels in preeclampsia.
19902
17
STR typing: method and applications.
20142
18
Mitochondrial genetic disorders.
20151
19
Molecular methods without nucleic acid amplification.
20151
20
Special sample types: CSF.
20171

About John Brunstein

John Brunstein is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Dermatology and Clinical Biochemistry, having authored 26 papers that have together received 448 indexed citations. Recurring topics across this work include Parvovirus B19 Infection Studies (6 papers), Molecular Biology Techniques and Applications (4 papers), Dermatological and COVID-19 studies (3 papers), Respiratory viral infections research (3 papers), Viral-associated cancers and disorders (2 papers), Virus-based gene therapy research (2 papers), Bacterial Identification and Susceptibility Testing (2 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Infectious Diseases (251 citations), Dermatology (84 citations), Epidemiology (222 citations), Otorhinolaryngology (22 citations) and Animal Science and Zoology (30 citations). John Brunstein has collaborated with scholars based in Canada, Finland and Tunisia. Frequent co-authors include Éva Thomas, Klaus Hedman, Maria Söderlund‐Venermo, Caroline R. Astell, Aaron F. Hirschfeld, Stuart E. Turvey, Stéphane Paulus, Heikki Haario, Esa K. Partio and Yrjö T. Konttinen. Their work appears in journals such as Journal of General Virology, Otology & Neurotology, Diagnostic Molecular Pathology, Journal of Medical Virology and Journal of Clinical Microbiology.

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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