Maya Gislason

37 papers receiving 629 citations

Peers

Maya Gislason
Comparison fields: 5 of 101
  • Health, Toxicology and Mutagenesis 168
  • Management, Monitoring, Policy and Law 105
  • Transportation 57
  • Applied Psychology 31
  • Information Systems and Management 42
Replace Leonhard K. Lades with:
Leonhard K. Lades Ireland
Marie-Line Félonneau France
Riikka Puhakka Finland
Clare Herrick United Kingdom
Judy Orme United Kingdom
Rebecca Patrick Australia
Jeffrey R. Masuda Canada
Lea den Broeder Netherlands
Arianne Reis Australia
Claire Henderson‐Wilson Australia
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Citations per year

Countries citing papers authored by Maya Gislason

Since Specialization
Citations

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

Fields of papers citing papers by Maya Gislason

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201872
2 202168
3 200966
4 201946
5 202238
6 202035
7 202134
8 202129
9 202327
10 201826
11 201825
12 201621
13 201719
14 201013
15 201612
16 202311
17 201411
18 202111
19 201210
20 202310

About Maya Gislason

Maya Gislason is a scholar working on Sociology and Political Science, General Health Professions, Health, Toxicology and Mutagenesis, Public Health, Environmental and Occupational Health and Infectious Diseases, having authored 41 papers that have together received 652 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (12 papers), Climate Change Communication and Perception (11 papers), Zoonotic diseases and public health (5 papers), Public Health Policies and Education (4 papers), Health, psychology, and well-being (4 papers), Mining and Resource Management (4 papers), HIV/AIDS Research and Interventions (3 papers) and Urban Transport and Accessibility (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (168 citations), Management, Monitoring, Policy and Law (105 citations), Transportation (57 citations), Applied Psychology (31 citations) and Information Systems and Management (42 citations). Maya Gislason has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Margot W. Parkes, Chris G. Buse, Vanesa Castán Broto, Melf‐Hinrich Ehlers, Lindsay P. Galway, Meghan Winters, Kiffer G. Card, Thomas Beery, Gina Martin and Kalysha Closson. Their work appears in journals such as Frontiers in Public Health, The Lancet Planetary Health, Public health reviews, BMJ Open and Journal of Epidemiology & Community 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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