Grace Leal

1.7k citations
18 papers · 1.3k · h-index 17

Impact in

Papers in

Grace Leal

18 papers receiving 1.2k citations

Peers

Grace Leal
Comparison fields: 5 of 53
  • Infectious Diseases 997
  • Public Health, Environmental and Occupational Health 1.2k
  • Insect Science 227
  • Virology 56
  • Parasitology 69
Replace Ernest Gould with:
Ernest Gould France
Christopher M. Roundy United States
Claudia Rückert United States
Barbara W. Johnson United States
Illich Manfred Mombo Gabon
María A. Loroño-Pino United States
Caio C. M. Freire Brazil
Eili Huhtamo Finland
Paolo M. A. Zanotto Brazil
Gregory D. Ebel United States
Grace Leal relative to Ernest Gould France Ernest Gould's profile →
Citations per field
00.5×2.7×
Ernest Gould · 1×
Citations per year

Countries citing papers authored by Grace Leal

Since Specialization
Citations

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

Fields of papers citing papers by Grace Leal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011177
2 2014168
3 2016143
4 2012143
5 2017133
6 2016110
7 201770
8 201752
9 201748
10 201636
11 201233
12 201333
13 200727
14 201525
15 201523
16 201220
17 201716
18 201213

About Grace Leal

Grace Leal is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Parasitology, Sociology and Political Science and Epidemiology, having authored 18 papers that have together received 1.3k indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (18 papers), Viral Infections and Vectors (15 papers), Viral Infections and Outbreaks Research (5 papers), Malaria Research and Control (4 papers), Vector-borne infectious diseases (4 papers), Virology and Viral Diseases (2 papers), Dengue and Mosquito Control Research (2 papers) and Vector-Borne Animal Diseases (1 paper). The work is most often cited by research in Infectious Diseases (997 citations), Public Health, Environmental and Occupational Health (1.2k citations), Insect Science (227 citations), Virology (56 citations) and Parasitology (69 citations). Grace Leal has collaborated with scholars based in United States, France and Mexico. Frequent co-authors include Scott C. Weaver, Jing Huang, Shannan L. Rossi, Naomi L. Forrester, Rubing Chen, Konstantin A. Tsetsarkin, Ruimei Yun, Stephen Higgs, Alexandra Adams and Robert L. Seymour. Their work appears in journals such as PLoS neglected tropical diseases, Journal of Virology, Vaccine, Emerging infectious diseases and American Journal of Tropical Medicine and Hygiene.

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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