Jonathan C. Reed

1.6k citations
31 papers · 1.1k · h-index 15

Impact in

Papers in

    • HIV Research and Treatment 9
    • HIV/AIDS drug development and treatment 7
    • SARS-CoV-2 and COVID-19 Research 2

Jonathan C. Reed

26 papers receiving 1.1k citations

Peers

Jonathan C. Reed
Comparison fields: 5 of 94
  • Virology 209
  • Endocrinology 123
  • Cognitive Neuroscience 326
  • Developmental and Educational Psychology 212
  • Infectious Diseases 162
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Daniel Sobral Portugal
Eva Berglund Sweden
Mark D. Lee United States
Barbara Kelly United States
Laura C. Miller United States
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Citations per field
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Citations per year

Countries citing papers authored by Jonathan C. Reed

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Reed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Reed. 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 Jonathan C. Reed. The network helps show where Jonathan C. Reed may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994365
2 2005119
3 2003107
4
Child Neuropsychology: Concepts, Theory, and Practice
200872
5 201267
6 201467
7 200651
8 202142
9 201535
10 201432
11 200427
12 201126
13 201824
14 201320
15 202115
16 201813
17 20209
18
Application of a PCR-mismatch technique to the BCL-2 gene: detection of point mutations in BCL-2 genes of malignancies with A t(14,18).
19929
19 20158
20 20116

About Jonathan C. Reed

Jonathan C. Reed is a scholar working on Virology, Infectious Diseases, Molecular Biology, Epidemiology and Developmental and Educational Psychology, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include HIV Research and Treatment (9 papers), HIV/AIDS drug development and treatment (7 papers), Plant and Fungal Interactions Research (3 papers), RNA Research and Splicing (3 papers), Respiratory viral infections research (3 papers), Plant Virus Research Studies (3 papers), Bacteriophages and microbial interactions (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Virology (209 citations), Endocrinology (123 citations), Cognitive Neuroscience (326 citations), Developmental and Educational Psychology (212 citations) and Infectious Diseases (162 citations). Jonathan C. Reed has collaborated with scholars based in United States, South Africa and United Kingdom. Frequent co-authors include Peder J. Johnson, Jaisri R. Lingappa, Alexey I. Prokhnevsky, Valerian V. Dolja, James C. Carrington, Motoko Tanaka, Bridget A. Robinson, Clair D. Geary, Eugene V. Koonin and Kodetham Gopinath. Their work appears in journals such as Journal of Virology, Journal of Clinical Microbiology, Journal of Clinical Virology, Virology and Microbiology Spectrum.

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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