Garth T. Whiteside

3.7k citations
58 papers · 2.5k indexed · h-index 27
Topics
Pain Mechanisms and Treatments (19 papers)Neuropeptides and Animal Physiology (11 papers)Neuroscience and Neuropharmacology Research (10 papers)

In The Last Decade

Garth T. Whiteside

55 papers receiving 2.4k citations

Peers

Garth T. Whiteside
Comparison fields: 5 of 121
  • Cellular and Molecular Neuroscience 1.1k
  • Pharmacology 1.0k
  • Physiology 896
  • Molecular Biology 646
  • Cognitive Neuroscience 244
Replace Ivone Gomes with:
Ivone Gomes United States
Marı́a Isabel Martı́n Spain
Tally M. Largent‐Milnes United States
Patrizia Romualdi Italy
Serena Boccella Italy
Harlan E. Shannon United States
Theo Meert Belgium
John Sharkey United Kingdom
Thomas J. Martin United States
Wioletta Makuch Poland
Garth T. Whiteside relative to Ivone Gomes United States Ivone Gomes's profile →
Citations per field
00.5×1.5×
Ivone Gomes · 1×
Citations per year

Countries citing papers authored by Garth T. Whiteside

Since Specialization
Citations

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

Fields of papers citing papers by Garth T. Whiteside

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Garth T. Whiteside

This figure shows the co-authorship network connecting the top 25 collaborators of Garth T. Whiteside. A scholar is included among the top collaborators of Garth T. Whiteside based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Garth T. Whiteside. Garth T. Whiteside is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 5
3 31
4 182
5 12
6 124
7 51
8 25
9 168
10 10
11 78
12 111
13 27
14 27
15 75
16 137
17 64
18 21
19 29
20 39

About Garth T. Whiteside

Garth T. Whiteside is a scholar working on Cellular and Molecular Neuroscience, Pharmacology and Physiology, having authored 58 papers that have together received 2.5k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (19 papers), Neuropeptides and Animal Physiology (11 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Pharmacology (1.0k citations), Cellular and Molecular Neuroscience (1.1k citations) and Toxicology (139 citations). Garth T. Whiteside has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Rajesh Munglani, Lilly Mark, Jeffrey D. Kennedy, Liza Leventhal, Kenneth J. Valenzano, Jamie Boulet, Michelle Pearson, James Harrison, Peimin Lu and Susan L. Gottshall. Their work appears in journals such as Journal of Clinical Investigation, PLoS ONE and Brain Research.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026