Gary Grant

133 papers receiving 2.7k citations

Peers

Gary Grant
Comparison fields: 5 of 173
  • Biological Psychiatry 119
  • Molecular Medicine 185
  • Pharmacology 464
  • Cell Biology 270
  • Neurology 124
Replace Shailendra Anoopkumar‐Dukie with:
Shailendra Anoopkumar‐Dukie Australia
Meena Kishore Sakharkar Singapore
Susan Hall Australia
Michele Navarra Italy
In‐Seon Lee South Korea
George L. Tipoe Hong Kong
Vivek Gupta Australia
Madhu Dikshit India
Mi Young Lee South Korea
Gary Grant relative to Shailendra Anoopkumar‐Dukie Australia Shailendra Anoopkumar‐Dukie's profile →
Citations per field
00.5×1.5×1.9×
Shailendra Anoopkumar‐Dukie · 1×
Citations per year

Countries citing papers authored by Gary Grant

Since Specialization
Citations

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

Fields of papers citing papers by Gary Grant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary Grant. 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 Gary Grant. The network helps show where Gary Grant may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 140 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016333
2 2014151
3 2015105
4 198297
5 201192
6 201177
7 201673
8 200960
9 201558
10 201951
11 201150
12
Antimicrobial activity of selected cyclic dipeptides.
199947
13 201147
14 202346
15 201146
16 202145
17 200043
18 201843
19 201940
20 201439

About Gary Grant

Gary Grant is a scholar working on Molecular Biology, Pharmacology, Public Health, Environmental and Occupational Health, Physiology and Education, having authored 140 papers that have together received 2.8k indexed citations. Recurring topics across this work include Coffee research and impacts (14 papers), Neuroinflammation and Neurodegeneration Mechanisms (9 papers), Tryptophan and brain disorders (9 papers), Muscle metabolism and nutrition (8 papers), Simulation-Based Education in Healthcare (7 papers), Innovative Teaching Methods (7 papers), Obesity, Physical Activity, Diet (6 papers) and Educational Games and Gamification (6 papers). The work is most often cited by research in Biological Psychiatry (119 citations), Molecular Medicine (185 citations), Pharmacology (464 citations), Cell Biology (270 citations) and Neurology (124 citations). Gary Grant has collaborated with scholars based in Australia, India and United Kingdom. Frequent co-authors include Shailendra Anoopkumar‐Dukie, Andrew K. Davey, Susan Hall, Devinder Arora, Anthony V. Perkins, Ben Desbrow, Catherine McDermott, Amelia J. McFarland, Michael Leveritt and Milton J. Kiefel. Their work appears in journals such as Currents in Pharmacy Teaching and Learning, Journal of Pharmacy Practice and Research, International Journal of Pharmacy Practice, Clinical Neurophysiology and Medicine & Science in Sports & Exercise.

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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