Mark Cherrie

1.1k citations
36 papers · 711 indexed · h-index 16

Mark Cherrie

35 papers receiving 706 citations

Peers

Mark Cherrie
Comparison fields: 5 of 115
  • Health, Toxicology and Mutagenesis 370
  • Speech and Hearing 125
  • Health 140
  • Transportation 71
  • Modeling and Simulation 49
Replace Gabriele Donzelli with:
Gabriele Donzelli Italy
Tom Clemens United Kingdom
Annemarie Ruijsbroek Netherlands
Emily J. Rugel Canada
Hannah Cohen‐Cline United States
Sabrina Havard France
K. L. Ebi United States
Yaqiong Yan China
Will Stahl-Timmins United Kingdom
Nooshin Razani United States
Mark Cherrie relative to Gabriele Donzelli Italy Gabriele Donzelli's profile →
Citations per field
00.5×5.1×
Gabriele Donzelli · 1×
Citations per year

Countries citing papers authored by Mark Cherrie

Since Specialization
Citations

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

Fields of papers citing papers by Mark Cherrie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20233
2 202234
3 202217
4 202217
5 202121
6 202133
7 20213
8 20212
9 202140
10 202021
11 20206
12 20205
13 201930
14 201910
15 20193
16 20196
17 20187
18 201816
19 201842
20 2017110

About Mark Cherrie

Mark Cherrie is a scholar working on Health, Toxicology and Mutagenesis, Health, Modeling and Simulation, Dermatology and Speech and Hearing, having authored 36 papers that have together received 711 indexed citations. Recurring topics across this work include Climate Change and Health Impacts (8 papers), Health disparities and outcomes (8 papers), Air Quality and Health Impacts (7 papers), Urban Green Space and Health (6 papers), COVID-19 and healthcare impacts (6 papers), Employment and Welfare Studies (5 papers), Skin Protection and Aging (5 papers) and Infection Control and Ventilation (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (370 citations), Speech and Hearing (125 citations), Health (140 citations), Transportation (71 citations) and Modeling and Simulation (49 citations). Mark Cherrie has collaborated with scholars based in United Kingdom, Australia and India. Frequent co-authors include Jamie Pearce, Ian J. Deary, Niamh Shortt, Catharine Ward Thompson, Christophe Sarran, Chris Dibben, Lora E. Fleming, Paul Redmond, Adele M. Taylor and John M. Starr. Their work appears in journals such as Annals of Work Exposures and Health, Social Science & Medicine, International Journal of Environmental Research and Public Health, Journal of the American Heart Association and BMC Public 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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