Jeffrey A. Smith

111 papers receiving 5.0k citations

Peers

Jeffrey A. Smith
Comparison fields: 5 of 198
  • Molecular Biology 1.8k
  • Cell Biology 376
  • Health 164
  • Clinical Psychology 367
  • Oncology 452
Replace Nancy Lee with:
Nancy Lee United States
Deepak Malhotra United States
Patrik K. E. Magnusson Sweden
Helen Cooper Australia
Richard Sullivan United Kingdom
Hiroshi Azuma Japan
Alison Brown United States
Jawad Fares United States
David R. Shaffer United States
Jeffrey A. Smith relative to Nancy Lee United States Nancy Lee's profile →
Citations per field
00.5×4.4×
Nancy Lee · 1×
Citations per year

Countries citing papers authored by Jeffrey A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999354
2 1998291
3 1999248
4 2005246
5 2014232
6 2014189
7 2005171
8 1988170
9 1998145
10 1990137
11 2008133
12 2013132
13 1976126
14 2009121
15 2004120
16 2020114
17 1990112
18 1996106
19 201697
20 199789

About Jeffrey A. Smith

Jeffrey A. Smith is a scholar working on Molecular Biology, Sociology and Political Science, Epidemiology, Political Science and International Relations and Clinical Psychology, having authored 120 papers that have together received 5.3k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (12 papers), Social Capital and Networks (10 papers), Protein Kinase Regulation and GTPase Signaling (7 papers), American Constitutional Law and Politics (7 papers), Complex Network Analysis Techniques (7 papers), Fatigue and fracture mechanics (6 papers), Opinion Dynamics and Social Influence (6 papers) and Health disparities and outcomes (5 papers). The work is most often cited by research in Molecular Biology (1.8k citations), Cell Biology (376 citations), Health (164 citations), Clinical Psychology (367 citations) and Oncology (452 citations). Jeffrey A. Smith has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Deborah A. Lannigan, James Moody, Thomas W. Sturgill, Celeste E. Poteet-Smith, Robert H. DuRant, Daniel P. Krowchuk, Shelley R. Kreiter, Miller McPherson, Lynn Smith‐Lovin and Timothy M. Errington. Their work appears in journals such as Journal of Biological Chemistry, Social Networks, Bioorganic & Medicinal Chemistry, Proceedings of the National Academy of Sciences and Journal of the American Academy of Child & Adolescent Psychiatry.

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.

Explore authors with similar magnitude of impact