Virginia Hope

1.4k citations
15 papers · 795 indexed · h-index 12
Topics
Parasitic Infections and Diagnostics (5 papers)Influenza Virus Research Studies (3 papers)Respiratory viral infections research (3 papers)

In The Last Decade

Virginia Hope

15 papers receiving 741 citations

Peers

Virginia Hope
Comparison fields: 5 of 108
  • Infectious Diseases 222
  • Epidemiology 150
  • Environmental Engineering 150
  • Parasitology 122
  • Modeling and Simulation 121
Replace Vandana Gupta with:
Vandana Gupta India
Hilary E. Tillett United Kingdom
John Holt Canada
Robert A. Canales United States
Susanne Herbst Germany
Mia Mattioli United States
Rachel S. Barwick United States
Emily MacDonald Norway
Josh M. Colston United States
Philip A. Collender United States
Virginia Hope relative to Vandana Gupta India Vandana Gupta's profile →
Citations per field
00.5×5.8×
Vandana Gupta · 1×
Citations per year

Countries citing papers authored by Virginia Hope

Since Specialization
Citations

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

Fields of papers citing papers by Virginia Hope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginia Hope

This figure shows the co-authorship network connecting the top 25 collaborators of Virginia Hope. A scholar is included among the top collaborators of Virginia Hope 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 Virginia Hope. Virginia Hope is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 3
2 188
3 28
4 61
5 83
6 45
7
Ayurvedic medicine: patients in peril from plumbism.
13
8 4
9
A descriptive epidemiology of giardiasis in New Zealand and gaps in surveillance data.
21
10 40
11 16
12 61
13 3
14
Giardia infection in Auckland and New Zealand: trends and international comparison.
15
15 214

About Virginia Hope

Virginia Hope is a scholar working on Parasitology, Modeling and Simulation and Microbiology, having authored 15 papers that have together received 795 indexed citations. Recurring topics across this work include Parasitic Infections and Diagnostics (5 papers), Influenza Virus Research Studies (3 papers) and Respiratory viral infections research (3 papers). The work is most often cited by research in Modeling and Simulation (121 citations), Parasitology (122 citations) and Infectious Diseases (222 citations). Virginia Hope has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include Wanzhen Gao, G. C. Simmons, Gillian D. Lewis, Robert Scragg, Shevaun Paine, Tord Kjellström, Don Bandaranayake, Michael G. Baker, Jonathan C. Marshall and Namrata Prasad. Their work appears in journals such as PLoS ONE, Water Research and Emerging 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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