Suzanne Brandon

1.8k citations
21 papers · 1.5k · h-index 14

Impact in

  • Biophysics top 2%
    • Electron Spin Resonance Studies
    • Eicosanoids and Hypertension Pharmacology

Papers in

Suzanne Brandon

20 papers receiving 1.5k citations

Peers

Suzanne Brandon
Comparison fields: 5 of 99
  • Biophysics 192
  • Biochemistry 176
  • Pharmacology 364
  • Cellular and Molecular Neuroscience 358
  • Molecular Biology 745
Replace Charles A. Lunn with:
Charles A. Lunn United States
Billy Breton Canada
Stéphane Marchal France
Hélène Barelli France
Philippe Benda France
Philip E. Brandish United States
Christopher J. Pazoles United States
Thomas H. Crouch United States
Leigh A. Stoddart United Kingdom
Sophia Schedin‐Weiss Sweden
Suzanne Brandon relative to Charles A. Lunn United States Charles A. Lunn's profile →
Citations per field
00.5×2.6×
Charles A. Lunn · 1×
Citations per year

Countries citing papers authored by Suzanne Brandon

Since Specialization
Citations

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

Fields of papers citing papers by Suzanne Brandon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999335
2 1990231
3 2003204
4 1994136
5 201399
6 198796
7 201280
8 200075
9 199770
10 200551
11 200549
12 199129
13 201126
14 200716
15 200313
16 198710
17 20219
18 20148
19 19922
20 20221

About Suzanne Brandon

Suzanne Brandon is a scholar working on Molecular Biology, Physiology, Pharmacology, Cellular and Molecular Neuroscience and Cell Biology, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Inflammatory mediators and NSAID effects (5 papers), Receptor Mechanisms and Signaling (5 papers), Electron Spin Resonance Studies (4 papers), Erythrocyte Function and Pathophysiology (3 papers), Hemoglobin structure and function (3 papers), Neuropeptides and Animal Physiology (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Biophysics (192 citations), Biochemistry (176 citations), Pharmacology (364 citations), Cellular and Molecular Neuroscience (358 citations) and Molecular Biology (745 citations). Suzanne Brandon has collaborated with scholars based in United States, Netherlands and Switzerland. Frequent co-authors include L E Limbird, Eric J. Hustedt, Richard Breyer, Edward J. Cragoe, Matthew D. Breyer, Youfei Guan, Amy L. Wilson, Cheryl A. Guyer, Debra A. Horstman and Albert H. Beth. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Journal of Clinical Investigation, British Poultry Science and Hypertension.

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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