Gary Grant

127 papers receiving 2.6k citations

Peers

Gary Grant
Comparison fields: 5 of 177
  • Biological Psychiatry 125
  • Molecular Medicine 186
  • Pharmacology 452
  • Cell Biology 337
  • Rehabilitation 120
Replace Shailendra Anoopkumar‐Dukie with:
Shailendra Anoopkumar‐Dukie Australia
Mi Young Lee South Korea
George L. Tipoe Hong Kong
Cong Huang China
Susan Hall Australia
Michele Navarra Italy
Hasan Mahmud Reza Bangladesh
Yanyan Wang China
Meena Kishore Sakharkar Singapore
Madhu Dikshit India
Gary Grant relative to Shailendra Anoopkumar‐Dukie Australia Shailendra Anoopkumar‐Dukie's profile →
Citations per field
00.5×1.5×2.0×
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 132 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016320
2 2014144
3 201597
4 198286
5 201184
6 201173
7 201669
8 200959
9 201558
10 201949
11
Antimicrobial activity of selected cyclic dipeptides.
199948
12 201148
13 201147
14 201143
15 202343
16 202142
17 200041
18 201841
19 201138
20 201938

About Gary Grant

Gary Grant is a scholar working on Biological Psychiatry, Applied Microbiology and Biotechnology, Geriatrics and Gerontology, Behavioral Neuroscience and Neurology, having authored 132 papers that have together received 2.6k indexed citations. Recurring topics across this work include Coffee research and impacts (14 papers), Innovative Teaching Methods (10 papers), Neuroinflammation and Neurodegeneration Mechanisms (10 papers), Simulation-Based Education in Healthcare (10 papers), Tryptophan and brain disorders (9 papers), Muscle metabolism and nutrition (9 papers), Innovations in Medical Education (8 papers) and Obesity, Physical Activity, Diet (7 papers). The work is most often cited by research in Biological Psychiatry (125 citations), Molecular Medicine (186 citations), Pharmacology (452 citations), Cell Biology (337 citations) and Rehabilitation (120 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, Catherine McDermott, Ben Desbrow, Amelia J. McFarland, Michael Leveritt and Milton J. Kiefel. Their work appears in journals such as Currents in Pharmacy Teaching and Learning, International Journal of Pharmacy Practice, Journal of Pharmacy Practice and Research, 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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