Jacqualyn Eales

23 papers receiving 590 citations

Peers

Jacqualyn Eales
Comparison fields: 5 of 124
  • Health, Toxicology and Mutagenesis 174
  • Ecological Modeling 36
  • Pollution 82
  • Global and Planetary Change 102
  • Nature and Landscape Conservation 57
Replace Takehiko I. Hayashi with:
Takehiko I. Hayashi Japan
Britta Grillitsch Austria
Mengya Tao United States
Janet Raloff United States
Michael E. Ginevan United States
Abhik Gupta India
Elisabeth Berger Germany
Theresa Ryan Stueve United States
Xiaoxi Zhang China
David Megson United Kingdom
Jacqualyn Eales relative to Takehiko I. Hayashi Japan Takehiko I. Hayashi's profile →
Citations per field
00.5×4.9×
Takehiko I. Hayashi · 1×
Citations per year

Countries citing papers authored by Jacqualyn Eales

Since Specialization
Citations

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

Fields of papers citing papers by Jacqualyn Eales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021218
2 201547
3 202246
4 201843
5 201542
6 200829
7 201028
8 202123
9 202217
10 201616
11 202015
12 201515
13 202014
14 201210
15 200910
16 20169
17 20179
18 20225
19 20235
20 20201

About Jacqualyn Eales

Jacqualyn Eales is a scholar working on Drug Discovery, Ecological Modeling, Statistics, Probability and Uncertainty, Nature and Landscape Conservation and Health, Toxicology and Mutagenesis, having authored 25 papers that have together received 605 indexed citations. Recurring topics across this work include Species Distribution and Climate Change (4 papers), Coastal and Marine Management (3 papers), Genetic diversity and population structure (3 papers), Meta-analysis and systematic reviews (3 papers), Ecology and Vegetation Dynamics Studies (3 papers), Nutritional Studies and Diet (2 papers), Forest Ecology and Biodiversity Studies (2 papers) and Plant and animal studies (2 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (174 citations), Ecological Modeling (36 citations), Pollution (82 citations), Global and Planetary Change (102 citations) and Nature and Landscape Conservation (57 citations). Jacqualyn Eales has collaborated with scholars based in United Kingdom, Sweden and United States. Frequent co-authors include Ruth Garside, Alison Bethel, Rebecca Short, Karyn Morrissey, Peter Hopkinson, Tamara S. Galloway, Roger S. Thorpe, Anita Malhotra, Neal Haddaway and Andrew S. Pullin. Their work appears in journals such as Environmental Evidence, Environment International, Molecular Ecology, Blood and Value in Health.

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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