Mark Cherrie

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

Impact in

Papers in

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
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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-authors

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

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017110
2 201790
3 201875
4 201842
5 202140
6 202234
7 202133
8 201930
9 202121
10 202021
11 202219
12 201518
13 202217
14 202217
15 201816
16 202015
17 201914
18 202111
19 202011
20 202111

About Mark Cherrie

Mark Cherrie is a scholar working on Health, Toxicology and Mutagenesis, Health, General Health Professions, Oncology and Dermatology, having authored 36 papers that have together received 711 indexed citations. Recurring topics across this work include Health disparities and outcomes (8 papers), Climate Change and Health Impacts (8 papers), Air Quality and Health Impacts (7 papers), Urban Green Space and Health (6 papers), COVID-19 and healthcare impacts (6 papers), Infection Control and Ventilation (5 papers), Skin Protection and Aging (5 papers) and Employment and Welfare Studies (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, Niamh Shortt, Ian J. Deary, Catharine Ward Thompson, Christophe Sarran, Chris Dibben, Lora E. Fleming, Paul Redmond, John W. Cherrie 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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