Steven S. Fu

5.1k citations
110 papers · 3.9k indexed · h-index 34

Impact in

Papers in

Steven S. Fu

104 papers receiving 3.7k citations

Peers

Steven S. Fu
Comparison fields: 5 of 142
  • Applied Psychology 438
  • Physiology 1.5k
  • General Health Professions 1.3k
  • Health 307
  • Clinical Psychology 651
Replace Sharon Lawn with:
Sharon Lawn Australia
Pamela A. Ratner Canada
Jamie Bryant Australia
Kolawole S. Okuyemi United States
Janice Y. Tsoh United States
Deborah Hennrikus United States
Aida L. Giachello United States
Alexander V. Prokhorov United States
Colleen M. McBride United States
Elyse Phillips United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven S. Fu

Since Specialization
Citations

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

Fields of papers citing papers by Steven S. Fu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven S. Fu. 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 Steven S. Fu. The network helps show where Steven S. Fu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20233
2 20232
3 20222
4 202011
5 20202
6 20195
7 20192
8
Treatment barriers among younger and older socioeconomically disadvantaged smokers.
20177
9 201792
10 201513
11 201410
12 201457
13
Self-stigma, Stress, and Smoking among African American and American Indian Female Smokers: An Exploratory Qualitative Study
20127
14 201013
15 200934
16 200981
17 2006106
18
National trends in the provision of smoking cessation aids within the Veterans Health Administration.
200532
19 200541
20 19943

About Steven S. Fu

Steven S. Fu is a scholar working on Applied Psychology, Physiology, Health, General Health Professions and Speech and Hearing, having authored 110 papers that have together received 3.9k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (74 papers), Obesity, Physical Activity, Diet (18 papers), Behavioral Health and Interventions (17 papers), Health disparities and outcomes (16 papers), Health Policy Implementation Science (10 papers), Substance Abuse Treatment and Outcomes (10 papers), School Health and Nursing Education (9 papers) and Racial and Ethnic Identity Research (8 papers). The work is most often cited by research in Applied Psychology (438 citations), Physiology (1.5k citations), General Health Professions (1.3k citations), Health (307 citations) and Clinical Psychology (651 citations). Steven S. Fu has collaborated with scholars based in United States, Vietnam and United Kingdom. Frequent co-authors include Michelle van Ryn, Anne M. Joseph, Diana J. Burgess, David Nelson, Barbara Clothier, Rachel Widome, Scott E. Sherman, Robert L Kane, Timothy J Wilt and Hildi Hagedorn. Their work appears in journals such as Nicotine & Tobacco Research, American Journal of Preventive Medicine, Journal of General Internal Medicine, American Journal of Public Health 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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