Daniel T. Malone

2.3k citations
64 papers · 1.8k · h-index 23

Impact in

Papers in

Daniel T. Malone

59 papers receiving 1.8k citations

Peers

Daniel T. Malone
Comparison fields: 5 of 117
  • Pharmacology 938
  • Cellular and Molecular Neuroscience 833
  • Biological Psychiatry 89
  • Behavioral Neuroscience 77
  • Endocrine and Autonomic Systems 91
Replace Claudio D’Addario with:
Claudio D’Addario Italy
Alexandra Šulcová Czechia
Adele Romano Italy
Gary B. Kaplan United States
J.A.S. Crippa Brazil
Fabrício A. Pamplona Brazil
Michelle Pearson United States
Danilo De Gregorio Canada
Federico Massa France
María Scherma Italy
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Citations per year

Countries citing papers authored by Daniel T. Malone

Since Specialization
Citations

This map shows the geographic impact of Daniel T. Malone'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 Daniel T. Malone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel T. Malone more than expected).

Fields of papers citing papers by Daniel T. Malone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel T. Malone. 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 Daniel T. Malone. The network helps show where Daniel T. Malone may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010179
2 2005149
3 2015124
4 199985
5 201582
6 200977
7 201175
8 200568
9 201264
10 201160
11 200755
12 201052
13 200648
14 201848
15 201243
16 201043
17 201340
18 199840
19 201640
20 201838

About Daniel T. Malone

Daniel T. Malone is a scholar working on Pharmacology, Cellular and Molecular Neuroscience, Public Health, Environmental and Occupational Health, Education and Cognitive Neuroscience, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (19 papers), Neurotransmitter Receptor Influence on Behavior (16 papers), Innovations in Medical Education (14 papers), Neuroscience and Neuropharmacology Research (11 papers), Evaluation of Teaching Practices (5 papers), Problem and Project Based Learning (4 papers), Innovative Teaching Methods (4 papers) and Simulation-Based Education in Healthcare (3 papers). The work is most often cited by research in Pharmacology (938 citations), Cellular and Molecular Neuroscience (833 citations), Biological Psychiatry (89 citations), Behavioral Neuroscience (77 citations) and Endocrine and Autonomic Systems (91 citations). Daniel T. Malone has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include David A. Taylor, Anand Gururajan, Leonora E. Long, Matthew N. Hill, Tiziana Rubino, Patrick M. Sexton, Arthur Christopoulos, Michelle Glass, Jennifer L. Short and Katie Leach. Their work appears in journals such as American Journal of Pharmaceutical Education, British Journal of Pharmacology, Currents in Pharmacy Teaching and Learning, Pharmacology Biochemistry and Behavior and Pharmacy 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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