Glen D. Johnson

46 papers receiving 619 citations

Peers

Glen D. Johnson
Comparison fields: 5 of 131
  • Virology 49
  • Modeling and Simulation 38
  • Health, Toxicology and Mutagenesis 98
  • Pollution 73
  • Global and Planetary Change 102
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Barry Evans United Kingdom
Chantal Guihenneuc‐Jouyaux France
Juan J. Abellán Spain
Dolores Catelan Italy
Wenwen Yang China
Tristan McKenzie Sweden
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Hye‐Kyung Cho South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Glen D. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Glen D. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen D. Johnson. 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 Glen D. Johnson. The network helps show where Glen D. Johnson may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201679
2 200461
3 200552
4 200139
5 199129
6 200728
7 197228
8 199928
9 200826
10
Fractal based methods in ecology: a review for analysis at multiple spatial scales
199525
11 201522
12 199820
13
200119
14
The Laurent-Pade Table,
197418
15 199915
16 202014
17 200613
18 199913
19 201912
20 202112

About Glen D. Johnson

Glen D. Johnson is a scholar working on Global and Planetary Change, Health, Toxicology and Mutagenesis, Epidemiology, Public Health, Environmental and Occupational Health and Environmental Engineering, having authored 49 papers that have together received 690 indexed citations. Recurring topics across this work include Land Use and Ecosystem Services (8 papers), Data-Driven Disease Surveillance (5 papers), Heavy Metal Exposure and Toxicity (4 papers), COVID-19 epidemiological studies (3 papers), Child Nutrition and Water Access (3 papers), Rabies epidemiology and control (3 papers), Urban Transport and Accessibility (3 papers) and Injury Epidemiology and Prevention (3 papers). The work is most often cited by research in Virology (49 citations), Modeling and Simulation (38 citations), Health, Toxicology and Mutagenesis (98 citations), Pollution (73 citations) and Global and Planetary Change (102 citations). Glen D. Johnson has collaborated with scholars based in United States, Hong Kong and Japan. Frequent co-authors include Ganapati P. Patil, Wayne L. Myers, Millicent Eidson, Martin Kulldorff, Jean Grassman, Brian Pavilonis, Jack Caravanos, Bryan Cherry, Sergio Recuenco and C. Taillie. Their work appears in journals such as Environmental and Ecological Statistics, Scientific Reports, Landscape Ecology, International Journal of Health Geographics and Spatial and Spatio-temporal Epidemiology.

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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