Marcia C. Smith

2.5k total citations
36 papers, 1.9k citations indexed

About

Marcia C. Smith is a scholar working on Clinical Psychology, Public Health, Environmental and Occupational Health and Neurology. According to data from OpenAlex, Marcia C. Smith has authored 36 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Clinical Psychology, 7 papers in Public Health, Environmental and Occupational Health and 6 papers in Neurology. Recurrent topics in Marcia C. Smith's work include Eating Disorders and Behaviors (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Obesity, Physical Activity, Diet (5 papers). Marcia C. Smith is often cited by papers focused on Eating Disorders and Behaviors (7 papers), Parkinson's Disease Mechanisms and Treatments (5 papers) and Obesity, Physical Activity, Diet (5 papers). Marcia C. Smith collaborates with scholars based in United States, United Kingdom and Germany. Marcia C. Smith's co-authors include Mark H. Thelen, Stephen A. Wonderlich, Janet E. Farmer, Heiner Ellgring, Wolfgang H. Oertel, John C. Morris, J. Philip Miller, P. W. Nathan, Fran Porter and Robert Fucetola and has published in prestigious journals such as Journal of Neuroscience, Journal of Consulting and Clinical Psychology and Pain.

In The Last Decade

Marcia C. Smith

34 papers receiving 1.7k citations

Peers

Marcia C. Smith
Comparison fields: 5 of 122
  • Clinical Psychology 1.1k
  • Neurology 341
  • Public Health, Environmental and Occupational Health 341
  • Sociology and Political Science 267
  • Cognitive Neuroscience 230
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Citations per field, relative to Marcia C. Smith
Marcia C. Smith · 1×
Citations per year, relative to Marcia C. Smith
Marcia C. Smith · 1×

Countries citing papers authored by Marcia C. Smith

Since Specialization
Citations

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

Fields of papers citing papers by Marcia C. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcia C. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of Marcia C. Smith. A scholar is included among the top collaborators of Marcia C. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marcia C. Smith. Marcia C. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 12
2 8
3 18
4
Tobacco control: from the medical office to the statehouse.
1
5 11
6 26
7 106
8 111
9 5
10 5
11 29
12 13
13 7
14 412
15 5
16 22
17 32
18 37
19 225
20 178

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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