Daisuke Son

911 citations
63 papers · 577 · h-index 12

Impact in

Papers in

Daisuke Son

60 papers receiving 562 citations

Peers

Daisuke Son
Comparison fields: 5 of 114
  • Family Practice 17
  • General Health Professions 100
  • Psychiatry and Mental health 46
  • Public Health, Environmental and Occupational Health 75
  • Emergency Medical Services 16
Replace Traci M. Blonquist with:
Traci M. Blonquist United States
Naomi Ito Japan
You‐Seon Nam South Korea
Peter O. Kohler United States
Rebecca Fisher United Kingdom
Denzil Gill Australia
Hector Gutierrez United States
Michael Grabner United States
Mikako Obika Japan
Sven‐Olof Andersson Sweden
Daisuke Son relative to Traci M. Blonquist United States Traci M. Blonquist's profile →
Citations per field
00.5×7.7×
Traci M. Blonquist · 1×
Citations per year

Countries citing papers authored by Daisuke Son

Since Specialization
Citations

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

Fields of papers citing papers by Daisuke Son

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008132
2 201837
3 200736
4 202027
5 201826
6 202022
7 202021
8 202121
9 202016
10 201714
11 202312
12 201912
13 202111
14 201911
15 202211
16 200910
17 201810
18 202310
19 20199
20 20228

About Daisuke Son

Daisuke Son is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Pharmacology, Psychiatry and Mental health and Neurology, having authored 63 papers that have together received 577 indexed citations. Recurring topics across this work include Innovations in Medical Education (7 papers), Pharmacy and Medical Practices (5 papers), Empathy and Medical Education (4 papers), Patient-Provider Communication in Healthcare (4 papers), Interprofessional Education and Collaboration (3 papers), Global Health Workforce Issues (2 papers), Reflective Practices in Education (2 papers) and Complementary and Alternative Medicine Studies (2 papers). The work is most often cited by research in Family Practice (17 citations), General Health Professions (100 citations), Psychiatry and Mental health (46 citations), Public Health, Environmental and Occupational Health (75 citations) and Emergency Medical Services (16 citations). Daisuke Son has collaborated with scholars based in Japan, United States and United Kingdom. Frequent co-authors include Masato Eto, Reiko Inagi, Masaomi Nangaku, Toshiro Fujita, Ichiro Kojima, Hideki Kato, Hiroshi Nishi, Masayuki Tanemoto, Hirono Ishikawa and Hirohisa Fujikawa. Their work appears in journals such as BMC Medical Education, Journal of Primary Care & Community Health, BMJ Open, Journal of General and Family Medicine and The American Journal of Emergency Medicine.

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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