D. Max Smith

31 papers receiving 931 citations

Peers

D. Max Smith
Comparison fields: 5 of 87
  • Pharmacology 383
  • Neurology 323
  • Anesthesiology and Pain Medicine 81
  • Cellular and Molecular Neuroscience 240
  • Geriatrics and Gerontology 49
Replace Min-Shung Lin with:
Min-Shung Lin Taiwan
Jouni Vuorinen Finland
Candace Bramson United States
Sheela Talwalker United States
Pablo Zubiaur Spain
Bojan Lalovic United States
J. Wemer Netherlands
Gina Mejía‐Abril Spain
Elizabeth S. Duke United States
R. G. Cooper United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by D. Max Smith

Since Specialization
Citations

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

Fields of papers citing papers by D. Max Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997340
2 2019105
3 201756
4 202154
5 201845
6 202143
7 201940
8 202039
9 202031
10 201830
11 202026
12 202024
13 202322
14 201822
15 202219
16 202017
17 20218
18 19688
19 20217
20 20236

About D. Max Smith

D. Max Smith is a scholar working on Pharmacology, Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health, Oncology and Economics and Econometrics, having authored 32 papers that have together received 963 indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (20 papers), Pharmaceutical studies and practices (11 papers), Pain Management and Opioid Use (5 papers), Colorectal Cancer Treatments and Studies (4 papers), Health Systems, Economic Evaluations, Quality of Life (4 papers), Opioid Use Disorder Treatment (3 papers), Statistical Methods in Clinical Trials (3 papers) and Pharmaceutical Practices and Patient Outcomes (2 papers). The work is most often cited by research in Pharmacology (383 citations), Neurology (323 citations), Anesthesiology and Pain Medicine (81 citations), Cellular and Molecular Neuroscience (240 citations) and Geriatrics and Gerontology (49 citations). D. Max Smith has collaborated with scholars based in United States, Canada and Singapore. Frequent co-authors include Larisa H. Cavallari, Julie A. Johnson, Amanda R. Elsey, Dyson T. Wake, Jean Hubble, Daniel Tarsy, Rajesh Pahwa, William C. Koller, Thorkild Norregaard and Edison Miyawaki. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Pharmacogenomics, Clinical and Translational Science, JACCP JOURNAL OF THE AMERICAN COLLEGE OF CLINICAL PHARMACY and Journal of Clinical Medicine.

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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