Suzanne M. Marsh

30 papers receiving 694 citations

Peers

Suzanne M. Marsh
Comparison fields: 5 of 96
  • Radiological and Ultrasound Technology 188
  • Occupational Therapy 104
  • Medical Laboratory Technology 12
  • Safety, Risk, Reliability and Quality 54
  • Statistics, Probability and Uncertainty 37
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David K. Bonauto United States
Srinivas Konda United States
James C. Helmkamp United States
Dawn N. Castillo United States
Louise Hagel Canada
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Ewa Menckel Sweden
John R. Myers United States
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Citations per year

Countries citing papers authored by Suzanne M. Marsh

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne M. Marsh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suzanne M. Marsh. 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 Suzanne M. Marsh. The network helps show where Suzanne M. Marsh may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201880
2 200876
3 201468
4 201759
5 201155
6 201542
7 201638
8 200234
9 201832
10 201128
11 201825
12
Nonfatal work-related injuries and illnesses - United States, 2010.
201322
13
Fatal Injuries to Civilian Workers in the United States, 1980-1995
200121
14 201116
15 202216
16 202215
17 201815
18
Fatal work-related injuries - United States, 2005-2009.
201315
19 201814
20 201610

About Suzanne M. Marsh

Suzanne M. Marsh is a scholar working on Radiological and Ultrasound Technology, Occupational Therapy, Plant Science, Clinical Psychology and Safety, Risk, Reliability and Quality, having authored 30 papers that have together received 730 indexed citations. Recurring topics across this work include Occupational Health and Safety Research (9 papers), Occupational Health and Performance (7 papers), Agriculture and Farm Safety (6 papers), Traffic and Road Safety (3 papers), Workplace Health and Well-being (2 papers), Suicide and Self-Harm Studies (2 papers), Injury Epidemiology and Prevention (2 papers) and Workplace Violence and Bullying (1 paper). The work is most often cited by research in Radiological and Ultrasound Technology (188 citations), Occupational Therapy (104 citations), Medical Laboratory Technology (12 citations), Safety, Risk, Reliability and Quality (54 citations) and Statistics, Probability and Uncertainty (37 citations). Suzanne M. Marsh has collaborated with scholars based in United States, Cyprus and Ireland. Frequent co-authors include John R. Myers, Audrey A. Reichard, Larry A. Layne, Srinivas Konda, Hope M. Tiesman, Andrea L. Steege, David E. Fosbroke, Cammie Chaumont Menéndez, Sherry Baron and Elyce Anne Biddle. Their work appears in journals such as American Journal of Industrial Medicine, Journal of Safety Research, American Journal of Preventive Medicine, Prehospital Emergency Care and International Journal of Environmental Research and 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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