Kanami Tsuno

84 papers receiving 1.3k citations

Peers

Kanami Tsuno
Comparison fields: 5 of 110
  • Clinical Psychology 358
  • Organizational Behavior and Human Resource Management 141
  • General Health Professions 282
  • Applied Psychology 56
  • Radiological and Ultrasound Technology 53
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Fiona Cocker Australia
John Mallett United Kingdom
Marjan Vaez Sweden
Daniela Converso Italy
Sara Viotti Italy
Javier Fiz Pérez Italy
Clare E. Haynes United Kingdom
Kimberly Jinnett United States
Georgia Libera Finstad Italy
Lihua Fan China
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Citations per field
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Citations per year

Countries citing papers authored by Kanami Tsuno

Since Specialization
Citations

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

Fields of papers citing papers by Kanami Tsuno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020139
2 202067
3 202165
4 201064
5 202146
6 201545
7 201241
8 202040
9 201236
10 201732
11 201630
12 201929
13 202228
14 201827
15 201626
16 202024
17 202323
18 201423
19 201322
20 201421

About Kanami Tsuno

Kanami Tsuno is a scholar working on Clinical Psychology, General Health Professions, Sociology and Political Science, Social Psychology and Health, having authored 91 papers that have together received 1.3k indexed citations. Recurring topics across this work include COVID-19 and Mental Health (20 papers), Workplace Violence and Bullying (17 papers), Workplace Health and Well-being (13 papers), Health disparities and outcomes (6 papers), Psychological Well-being and Life Satisfaction (5 papers), Healthcare professionals’ stress and burnout (5 papers), Menstrual Health and Disorders (3 papers) and COVID-19 Pandemic Impacts (3 papers). The work is most often cited by research in Clinical Psychology (358 citations), Organizational Behavior and Human Resource Management (141 citations), General Health Professions (282 citations), Applied Psychology (56 citations) and Radiological and Ultrasound Technology (53 citations). Kanami Tsuno has collaborated with scholars based in Japan, United States and Nepal. Frequent co-authors include Norito Kawakami, Natsu Sasaki, Reiko Kuroda, Akiomi Inoue, Kotaro Imamura, Takahiro Tabuchi, Akihito Shimazu, Kimiko Tomioka, Hiroki Asaoka and Kyoko Shimada. Their work appears in journals such as Industrial Health, BMJ Open, Journal of Occupational and Environmental Medicine, Journal of Affective Disorders 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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