Danielle C. Groves

8.6k citations
7 papers · 138 · h-index 5

Impact in

Papers in

    • Viral Infections and Outbreaks Research 3
    • Viral gastroenteritis research and epidemiology 2
    • SARS-CoV-2 and COVID-19 Research 2
    • COVID-19 Clinical Research Studies 1
    • Cytomegalovirus and herpesvirus research 2
    • Influenza Virus Research Studies 1

Danielle C. Groves

6 papers receiving 135 citations

Peers

Danielle C. Groves
Comparison fields: 5 of 47
  • Infectious Diseases 70
  • Cardiology and Cardiovascular Medicine 27
  • Pathology and Forensic Medicine 18
  • Biophysics 6
  • Animal Science and Zoology 9
Replace Elisabeth K. Phillips with:
Elisabeth K. Phillips United States
Xiaofang Zhou China
Vitalii Stebliankin United States
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Citations per year

Countries citing papers authored by Danielle C. Groves

Since Specialization
Citations

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

Fields of papers citing papers by Danielle C. Groves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 202072
2 200643
3 202312
4 20236
5 20234
6 20251
7 20240

About Danielle C. Groves

Danielle C. Groves is a scholar working on Infectious Diseases, Epidemiology, Cardiology and Cardiovascular Medicine, Ecology and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 138 indexed citations. Recurring topics across this work include Viral Infections and Outbreaks Research (3 papers), Cytomegalovirus and herpesvirus research (2 papers), Viral gastroenteritis research and epidemiology (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), COVID-19 Clinical Research Studies (1 paper), Streptococcal Infections and Treatments (1 paper), Influenza Virus Research Studies (1 paper) and Bacteriophages and microbial interactions (1 paper). The work is most often cited by research in Infectious Diseases (70 citations), Cardiology and Cardiovascular Medicine (27 citations), Pathology and Forensic Medicine (18 citations), Biophysics (6 citations) and Animal Science and Zoology (9 citations). Danielle C. Groves has collaborated with scholars based in United Kingdom, Germany and Italy. Frequent co-authors include Adrienn Angyal, Sarah Rowland‐Jones, Manning J. Sabatier, Lee Stoner, Gregory J. Palardy, Kevin K. McCully, David L. Ripley, Achillefs N. Kapanidis, Nicole C. Robb and Thorben Cordes. Their work appears in journals such as Quarterly Reviews of Biophysics, Nucleic Acids Research, PLoS Pathogens, Biochemical and Biophysical Research Communications and The Journal of 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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