Danielle C. Groves

8.6k total citations
7 papers, 134 citations indexed

About

Danielle C. Groves is a scholar working on Infectious Diseases, Epidemiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Danielle C. Groves has authored 7 papers receiving a total of 134 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 4 papers in Epidemiology and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Danielle C. Groves's work include Viral Infections and Outbreaks Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Danielle C. Groves is often cited by papers focused on Viral Infections and Outbreaks Research (3 papers), Viral gastroenteritis research and epidemiology (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). Danielle C. Groves collaborates with scholars based in United Kingdom, Germany and Gambia. Danielle C. Groves's co-authors include Sarah Rowland‐Jones, Adrienn Angyal, David L. Ripley, Gregory J. Palardy, Kevin K. McCully, Lee Stoner, Manning J. Sabatier, Nicole C. Robb, Andrew McMahon and Rebecca Andrews and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Biochemical and Biophysical Research Communications.

In The Last Decade

Danielle C. Groves

6 papers receiving 130 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danielle C. Groves United Kingdom 4 75 30 26 22 11 7 134
Elisabeth K. Phillips United States 6 98 1.3× 41 1.4× 83 3.2× 11 0.5× 30 2.7× 9 220
Xiaofang Zhou China 8 64 0.9× 57 1.9× 21 0.8× 12 0.5× 38 3.5× 16 173
Alexander Pavlenko Russia 6 40 0.5× 36 1.2× 87 3.3× 4 0.2× 9 0.8× 25 194
Karlijn van der Straten Netherlands 6 76 1.0× 12 0.4× 13 0.5× 5 0.2× 9 0.8× 9 112
Lidong Gao China 7 42 0.6× 27 0.9× 25 1.0× 7 0.3× 5 0.5× 23 163
Caterina Candela Italy 6 22 0.3× 30 1.0× 41 1.6× 12 0.5× 7 0.6× 22 118
Daisuke Jubishi Japan 8 68 0.9× 10 0.3× 49 1.9× 3 0.1× 14 1.3× 23 136
Siân E. Jossi United Kingdom 7 124 1.7× 7 0.2× 46 1.8× 4 0.2× 31 2.8× 8 174
Junfeng Wan China 4 76 1.0× 102 3.4× 19 0.7× 11 0.5× 7 0.6× 11 137
John Fournier United States 8 40 0.5× 9 0.3× 17 0.7× 8 0.4× 4 0.4× 20 159

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-authorship network of co-authors of Danielle C. Groves

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle C. Groves. A scholar is included among the top collaborators of Danielle C. Groves based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danielle C. Groves. Danielle C. Groves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

7 of 7 papers shown
1.
Groves, Danielle C., Andrew McMahon, Haitian Fan, et al.. (2025). Mechanistic insights into the activity of SARS-CoV-2 RNA polymerase inhibitors using single-molecule FRET. Nucleic Acids Research. 53(8). 1 indexed citations
2.
McMahon, Andrew, et al.. (2024). Engineering stress as a motivation for filamentous virus morphology. SHILAP Revista de lepidopterología. 4(4). 100181–100181.
3.
McMahon, Andrew, Rebecca Andrews, Danielle C. Groves, et al.. (2023). High-throughput super-resolution analysis of influenza virus pleomorphism reveals insights into viral spatial organization. PLoS Pathogens. 19(6). e1011484–e1011484. 11 indexed citations
4.
Groves, Danielle C., et al.. (2023). Single-molecule FRET for virology: 20 years of insight into protein structure and dynamics. Quarterly Reviews of Biophysics. 56. e3–e3. 3 indexed citations
5.
Keeley, Alexander J., Danielle C. Groves, Ya Jankey Jagne, et al.. (2023). Streptococcus pyogenes Colonization in Children Aged 24–59 Months in the Gambia: Impact of Live Attenuated Influenza Vaccine and Associated Serological Responses. The Journal of Infectious Diseases. 228(7). 957–965. 6 indexed citations
6.
Groves, Danielle C., Sarah Rowland‐Jones, & Adrienn Angyal. (2020). The D614G mutations in the SARS-CoV-2 spike protein: Implications for viral infectivity, disease severity and vaccine design. Biochemical and Biophysical Research Communications. 538. 104–107. 71 indexed citations
7.
Stoner, Lee, Manning J. Sabatier, Danielle C. Groves, et al.. (2006). Upper vs Lower Extremity Arterial Function After Spinal Cord Injury. Journal of Spinal Cord Medicine. 29(2). 138–146. 42 indexed citations

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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