Daniel T. Malone

2.2k citations
62 papers · 1.7k · h-index 23

Impact in

Papers in

Daniel T. Malone

58 papers receiving 1.7k citations

Peers

Daniel T. Malone
Comparison fields: 5 of 120
  • Pharmacology 883
  • Cellular and Molecular Neuroscience 885
  • Biological Psychiatry 99
  • Behavioral Neuroscience 88
  • Endocrine and Autonomic Systems 101
Replace Leonora E. Long with:
Leonora E. Long Australia
Erica Zamberletti Italy
John Krystal United States
Malcolm S. Reid United States
Judit Lazáry Hungary
J.A.S. Crippa Brazil
Fabrício A. Pamplona Brazil
María Scherma Italy
Ravi Das United Kingdom
Claudio D’Addario Italy
Daniel T. Malone relative to Leonora E. Long Australia Leonora E. Long's profile →
Citations per field
00.5×
Leonora E. Long · 1×
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 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010161
2 2005140
3 2015118
4 199976
5 200973
6 201572
7 201169
8 200565
9 201259
10 201157
11 200753
12 201050
13 200647
14 201846
15 201240
16 201340
17 199839
18 201037
19 201836
20 201634

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 62 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (19 papers), Neurotransmitter Receptor Influence on Behavior (17 papers), Innovations in Medical Education (17 papers), Neuroscience and Neuropharmacology Research (11 papers), Evaluation of Teaching Practices (6 papers), Pharmaceutical Practices and Patient Outcomes (5 papers), Innovative Teaching Methods (4 papers) and Medical Education and Admissions (4 papers). The work is most often cited by research in Pharmacology (883 citations), Cellular and Molecular Neuroscience (885 citations), Biological Psychiatry (99 citations), Behavioral Neuroscience (88 citations) and Endocrine and Autonomic Systems (101 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, Arthur Christopoulos, Patrick M. Sexton, 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, Behavioural Brain Research and Pharmacology Biochemistry and Behavior.

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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