Jenny Grant

438 citations
7 papers · 308 · h-index 4

Impact in

Papers in

    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 detection and testing 2
    • SARS-CoV-2 and COVID-19 Research 2
    • Genomics and Chromatin Dynamics 1
    • CRISPR and Genetic Engineering 1
    • RNA Research and Splicing 1

Jenny Grant

6 papers receiving 305 citations

Peers

Jenny Grant
Comparison fields: 5 of 49
  • Cancer Research 117
  • Pulmonary and Respiratory Medicine 114
  • Molecular Biology 190
  • Cardiology and Cardiovascular Medicine 34
  • Obstetrics and Gynecology 11
Replace Nilay Mitash with:
Nilay Mitash United States
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Jining Feng United States
David L. Armistead United States
Ruaa Al‐Qazazi Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jenny Grant

Since Specialization
Citations

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

Fields of papers citing papers by Jenny Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 2015242
2 201747
3 20227
4 20225
5 20213
6 20222
7
An outbreak of enteritis due to a Salmonella organism closely resembling Salm. paratyphi B.
19552

About Jenny Grant

Jenny Grant is a scholar working on Infectious Diseases, Molecular Biology, Occupational Therapy, Pulmonary and Respiratory Medicine and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 308 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 detection and testing (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genomics and Chromatin Dynamics (1 paper), Pulmonary Hypertension Research and Treatments (1 paper), Medical Education and Admissions (1 paper), CRISPR and Genetic Engineering (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Cancer Research (117 citations), Pulmonary and Respiratory Medicine (114 citations), Molecular Biology (190 citations), Cardiology and Cardiovascular Medicine (34 citations) and Obstetrics and Gynecology (11 citations). Jenny Grant has collaborated with scholars based in New Zealand, United States and Norway. Frequent co-authors include Anita G. Seto, Angela C. Bradshaw, Kevin P. White, Lin Deng, Maria G. Frid, Hannah Stevens, Andrew H. Baker, Nicholas W. Morrell, John McClure and Axelle Caudrillier. Their work appears in journals such as Viruses, Circulation Research, Development, American Journal of Occupational Therapy and Journal of Clinical Virology.

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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