Leesa Bryant

1.2k citations
19 papers · 985 indexed · h-index 16
  • Physiology top 5%
    • Pain Mechanisms and Treatments 14
    • Adenosine and Purinergic Signaling 3
  • Physiology top 5%
    • Pain Mechanisms and Treatments 14
    • Adenosine and Purinergic Signaling 3
    • Neuroscience and Neuropharmacology Research 4
    • Neuropeptides and Animal Physiology 4
    • Cancer Treatment and Pharmacology 3
    • Pharmacological Receptor Mechanisms and Effects 5
    • Ion channel regulation and function 3
    • Sphingolipid Metabolism and Signaling 3

Leesa Bryant

19 papers receiving 975 citations

Peers

Leesa Bryant
Comparison fields: 5 of 82
  • Physiology 100
  • Physiology 514
  • Cellular and Molecular Neuroscience 218
  • Pharmacology 85
  • Oncology 209
Replace David J. Wustrow with:
David J. Wustrow United States
Naoya Matsunaga Japan
Shoichi Imai Japan
Csaba Szabó United States
Michael G. Hahn Germany
Robert N. DeHaven United States
Mitesh Sanghvi United States
Michel Belley Canada
Toshiyuki Kanemasa Japan
John Man Tak Chu Hong Kong
Leesa Bryant relative to David J. Wustrow United States David J. Wustrow's profile →
Citations per field
00.5×2.6×
David J. Wustrow · 1×
Citations per year

Countries citing papers authored by Leesa Bryant

Since Specialization
Citations

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

Fields of papers citing papers by Leesa Bryant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 2014123
2 20142
3 201339
4 20131
5 2013107
6 201325
7 20132
8 2012142
9 201230
10 201291
11 201126
12 201173
13 201079
14 201046
15 201040
16 201056
17 200953
18 200920
19 200630

About Leesa Bryant

Leesa Bryant is a scholar working on Physiology, Physiology and Cellular and Molecular Neuroscience, having authored 19 papers that have together received 985 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (14 papers), Pharmacological Receptor Mechanisms and Effects (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Neuropeptides and Animal Physiology (4 papers), Adenosine and Purinergic Signaling (3 papers), Ion channel regulation and function (3 papers), Sphingolipid Metabolism and Signaling (3 papers) and Cancer Treatment and Pharmacology (3 papers). The work is most often cited by research in Physiology (100 citations), Physiology (514 citations) and Cellular and Molecular Neuroscience (218 citations). Leesa Bryant has collaborated with scholars based in United States, Italy and Belgium. Frequent co-authors include Zhoumou Chen, Daniela Salvemini, Salvatore Cuzzocrea, Timothy M. Doyle, Emanuela Esposito, William L. Neumann, Tim Doyle, Carolina Muscoli, Jan S. Ryerse and Kali Janes. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Journal of Neuroscience.

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