Grenville Marsh

588 citations
8 papers · 498 · h-index 8

Impact in

  • Health top 5%
    • Vaccine Coverage and Hesitancy
  • Epidemiology top 10%
    • Influenza Virus Research Studies
    • Respiratory viral infections research

Papers in

Grenville Marsh

8 papers receiving 467 citations

Peers

Grenville Marsh
Comparison fields: 5 of 60
  • Health 165
  • Epidemiology 306
  • Infectious Diseases 145
  • Modeling and Simulation 36
  • Hepatology 27
Replace Lisa Menning with:
Lisa Menning Switzerland
Sue Campbell‐Lloyd Australia
Emmett B. Swint United States
Shainoor J. Ismail Canada
Sean G. Saul United States
C. Mary Healy United States
Bayo C. Willis United States
Elizabeth M. La United States
Camilla Hiul Suppli Denmark
Norman W. Axnick United States
Grenville Marsh relative to Lisa Menning Switzerland Lisa Menning's profile →
Citations per field
00.5×2×3×4×4.5×
Lisa Menning · 1×
Citations per year

Countries citing papers authored by Grenville Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Grenville Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Grenville Marsh, 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 Grenville Marsh Line = papers co-authored together Grenville Marsh links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2006301
2 198458
3 201237
4 200532
5 200726
6 201726
7 200810
8 20148

About Grenville Marsh

Grenville Marsh is a scholar working on Epidemiology, Hepatology, Health, Infectious Diseases and Immunology, having authored 8 papers that have together received 498 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (4 papers), Respiratory viral infections research (2 papers), vaccines and immunoinformatics approaches (1 paper), Vaccine Coverage and Hesitancy (1 paper), Immune responses and vaccinations (1 paper), Mosquito-borne diseases and control (1 paper), Malaria Research and Control (1 paper) and Virus-based gene therapy research (1 paper). The work is most often cited by research in Health (165 citations), Epidemiology (306 citations), Infectious Diseases (145 citations), Modeling and Simulation (36 citations) and Hepatology (27 citations). Grenville Marsh has collaborated with scholars based in France, Germany and Mexico. Frequent co-authors include Friedrich Hofmann, Rafaele Dumas, Philip P. Mortimer, Maïna L’Azou, Stéphanie Pépin, Camille Salamand, Philippe Saliou, Joshua Nealon, Agnès Hoffenbach and Melanie K. Saville. Their work appears in journals such as Vaccine, Influenza and Other Respiratory Viruses, PLoS neglected tropical diseases, Eurosurveillance and Infection.

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.

Explore authors with similar magnitude of impact