J. Rachel Reader

1.6k citations
34 papers · 1.0k · h-index 18

Impact in

Papers in

    • Mycobacterium research and diagnosis 3
    • Respiratory viral infections research 3
    • Trypanosoma species research and implications 3
    • Cardiomyopathy and Myosin Studies 6
    • Cardiovascular Effects of Exercise 3

J. Rachel Reader

32 papers receiving 982 citations

Peers

J. Rachel Reader
Comparison fields: 5 of 116
  • Infectious Diseases 212
  • Molecular Medicine 35
  • Immunology 128
  • Small Animals 45
  • Epidemiology 183
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Ran He China
Wei Si China
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Citations per field
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Citations per year

Countries citing papers authored by J. Rachel Reader

Since Specialization
Citations

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

Fields of papers citing papers by J. Rachel Reader

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Rachel Reader. 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 J. Rachel Reader. The network helps show where J. Rachel Reader may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019173
2 2006100
3 200392
4 200887
5 200879
6 200772
7 200355
8 200847
9 201132
10 201829
11 200726
12 202222
13 200522
14 199921
15 201419
16 199418
17 201418
18
Left Ventricular Hypertrophy in Rhesus Macaques (Macaca mulatta) at the California National Primate Research Center (1992-2014).
201618
19 200714
20
Antemortem Screening for Left Ventricular Hypertrophy in Rhesus Macaques (Macaca mulatta).
201614

About J. Rachel Reader

J. Rachel Reader is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine, Infectious Diseases, Surgery and Molecular Biology, having authored 34 papers that have together received 1.0k indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (6 papers), Tuberculosis Research and Epidemiology (4 papers), Congenital heart defects research (3 papers), Mycobacterium research and diagnosis (3 papers), Respiratory viral infections research (3 papers), Trypanosoma species research and implications (3 papers), Cardiovascular Effects of Exercise (3 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Infectious Diseases (212 citations), Molecular Medicine (35 citations), Immunology (128 citations), Small Animals (45 citations) and Epidemiology (183 citations). J. Rachel Reader has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Jeffrey A. Roberts, Joshua A. Stern, Dallas M. Hyde, Eric Ontiveros, Yu Ueda, Ryan H. Senaratne, Lee W. Riley, Melinda C. Aldrich, Edward S. Schelegle and Jeffrey S. Tepper. Their work appears in journals such as Comparative Medicine, Journal of Virology, Journal of Medical Microbiology, American Journal Of Pathology and Journal of Medical Primatology.

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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