William E. Smith

101 papers receiving 1.4k citations

Peers

William E. Smith
Comparison fields: 5 of 174
  • Geriatrics and Gerontology 198
  • Medical Terminology 9
  • Numerical Analysis 152
  • Applied Mathematics 211
  • Pharmaceutical Science 114
Replace Philippe Michel with:
Philippe Michel France
Masashi Goto Japan
Charles J. Titus United States
John W. Green United States
Herbert Koch Germany
Roger W. Anderson United States
H. Flaschka United States
Michael Modell United Kingdom
Richard J. K. Taylor United Kingdom
Peter R. Kramer United States
William E. Smith relative to Philippe Michel France Philippe Michel's profile →
Citations per field
00.5×10×15×19.8×
Philippe Michel · 1×
Citations per year

Countries citing papers authored by William E. Smith

Since Specialization
Citations

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

Fields of papers citing papers by William E. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 111 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1980156
2 2008124
3 197276
4 198469
5 198269
6 197860
7 201854
8 198051
9 197545
10 198043
11 196937
12 201236
13 197033
14 197431
15 196129
16 195729
17 196828
18 200626
19 196925
20 197222

About William E. Smith

William E. Smith is a scholar working on Geriatrics and Gerontology, Organic Chemistry, Applied Mathematics, General Health Professions and Pediatrics, Perinatology and Child Health, having authored 111 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pharmaceutical Practices and Patient Outcomes (30 papers), Mathematical functions and polynomials (10 papers), Pharmaceutical studies and practices (8 papers), Geological formations and processes (7 papers), Pharmacy and Medical Practices (7 papers), Patient Safety and Medication Errors (6 papers), Health Sciences Research and Education (6 papers) and Advanced Electrical Measurement Techniques (5 papers). The work is most often cited by research in Geriatrics and Gerontology (198 citations), Medical Terminology (9 citations), Numerical Analysis (152 citations), Applied Mathematics (211 citations) and Pharmaceutical Science (114 citations). William E. Smith has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Ian H. Sloan, Robert A. Benkeser, Henry Malinowski, Alan J. Lewis, D.H. Brown, Charles F. Zukoski, Jeffrey A. Priest, William A. Miller, Karen E. Bertch and Robert E. Pearson. Their work appears in journals such as American Journal of Health-System Pharmacy, The Journal of Organic Chemistry, Journal of Pharmaceutical Sciences, Journal of the American Chemical Society and American Journal of Pharmaceutical Education.

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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