D. Max Smith

40 papers receiving 1.2k citations

Peers

D. Max Smith
Comparison fields: 5 of 58
  • Pharmacology 866
  • Cardiology and Cardiovascular Medicine 206
  • Health Informatics 16
  • Anesthesiology and Pain Medicine 35
  • Health Information Management 38
Replace Dyson T. Wake with:
Dyson T. Wake United States
RHN van Schaik Netherlands
Anne‐Marie Buunk Netherlands
H. Abdullah-Koolmees Netherlands
Elena Grishina Russia
Carmen Belmonte Spain
Akinyemi Oni‐Orisan United States
David J Silberstein United States
J. K. Boeijinga Netherlands
Michael Ward Australia
D. Max Smith relative to Dyson T. Wake United States Dyson T. Wake's profile →
Citations per field
00.5×2×3.2×
Dyson T. Wake · 1×
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 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017248
2 2019125
3 202172
4 201969
5 201965
6 201857
7 202157
8 201951
9 202151
10 202040
11 202039
12 201833
13 202032
14 201828
15 202028
16 202225
17 202325
18 202124
19 202019
20 202413

About D. Max Smith

D. Max Smith is a scholar working on Pharmacology, Cardiology and Cardiovascular Medicine, Statistics, Probability and Uncertainty, Health Information Management and Public Health, Environmental and Occupational Health, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacogenetics and Drug Metabolism (34 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers), Electronic Health Records Systems (1 paper), Academic Writing and Publishing (1 paper), Innovations in Medical Education (1 paper), Publishing and Scholarly Communication (1 paper), Statistical Methods in Clinical Trials (1 paper) and Opioid Use Disorder Treatment (1 paper). The work is most often cited by research in Pharmacology (866 citations), Cardiology and Cardiovascular Medicine (206 citations), Health Informatics (16 citations), Anesthesiology and Pain Medicine (35 citations) and Health Information Management (38 citations). D. Max Smith has collaborated with scholars based in United States, Netherlands and Austria. Frequent co-authors include Larisa H. Cavallari, Dyson T. Wake, Julie Ann Johnson, Amanda R. Elsey, Henry Mark Dunnenberger, Benjamin Q. Duong, Emily J. Cicali, Sadaf Kazi, Kristin Wiisanen Weitzel and Siegfried O. Schmidt. Their work appears in journals such as Clinical Pharmacology & Therapeutics, Clinical and Translational Science, Genetics in Medicine, Pharmacogenetics and Genomics and Pharmacogenomics.

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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