Samuel G. Smith

6.6k citations
115 papers · 3.9k indexed · h-index 34

Impact in

Papers in

Samuel G. Smith

106 papers receiving 3.8k citations

Peers

Samuel G. Smith
Comparison fields: 5 of 173
  • Family Practice 125
  • General Health Professions 1.1k
  • Health 348
  • Oncology 845
  • Applied Psychology 134
Replace William R. Phillips with:
William R. Phillips United States
Paul Ritvo Canada
Amanda Wilson Australia
Richard G. Roetzheim United States
Liana Fraenkel United States
David R. Nerenz United States
Rachel Hess United States
Wolfgang Greiner Germany
Christian von Wagner United Kingdom
Joy Melnikow United States
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Citations per field
00.5×1.5×
William R. Phillips · 1×
Citations per year

Countries citing papers authored by Samuel G. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Samuel G. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel G. Smith. 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 Samuel G. Smith. The network helps show where Samuel G. Smith may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20233
4 20231
5 202112
6 202011
7 20194
8 201914
9 201844
10 201820
11 201731
12 201730
13 201534
14 201425
15 201364
16 20135
17 2013145
18 201216
19 201213
20 201132

About Samuel G. Smith

Samuel G. Smith is a scholar working on Family Practice, Applied Psychology, General Health Professions, Microbiology and Oncology, having authored 115 papers that have together received 3.9k indexed citations. Recurring topics across this work include Health Literacy and Information Accessibility (27 papers), Colorectal Cancer Screening and Detection (17 papers), Global Cancer Incidence and Screening (15 papers), Mobile Health and mHealth Applications (14 papers), Patient-Provider Communication in Healthcare (12 papers), Medication Adherence and Compliance (12 papers), Behavioral Health and Interventions (8 papers) and Surgical Simulation and Training (8 papers). The work is most often cited by research in Family Practice (125 citations), General Health Professions (1.1k citations), Health (348 citations), Oncology (845 citations) and Applied Psychology (134 citations). Samuel G. Smith has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Michael S. Wolf, Ara Darzi, Jared Torkington, Laura M. Curtis, Christian von Wagner, Jane Wardle, Lindsay C. Kobayashi, B. I. Rees, Rachel O’Conor and N Taffinder. Their work appears in journals such as BMJ Open, Surgical Endoscopy, Journal of Health Communication, Preventive Medicine and Patient Education and Counseling.

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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