Benjamin S. Rayner

1.6k citations
54 papers · 1.1k · h-index 20

Impact in

  • Immunology top 10%
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune cells in cancer
  • Physiology top 10%
    • Nitric Oxide and Endothelin Effects

Papers in

Benjamin S. Rayner

52 papers receiving 1.0k citations

Peers

Benjamin S. Rayner
Comparison fields: 5 of 113
  • Immunology 274
  • Physiology 207
  • Biochemistry 56
  • Nutrition and Dietetics 108
  • Cardiology and Cardiovascular Medicine 132
Replace Michael Schuliga with:
Michael Schuliga Australia
Do Kyun Kim South Korea
Sachiko Watanabe Japan
Kengo Tomita Japan
Bruno Baudin France
Sudakshina Ghosh India
Jing Zeng China
Yiyang Wang China
Sukhdev S. Brar United States
Xinchun Zhou United States
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Citations per field
00.5×1.5×
Michael Schuliga · 1×
Citations per year

Countries citing papers authored by Benjamin S. Rayner

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin S. Rayner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin S. Rayner. 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 Benjamin S. Rayner. The network helps show where Benjamin S. Rayner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201493
2 201883
3 201067
4 200766
5 201851
6 201346
7 201342
8 201639
9 201738
10 201936
11 201833
12 200532
13 202031
14 200530
15 201929
16 202225
17 200924
18 201922
19 200620
20 202119

About Benjamin S. Rayner

Benjamin S. Rayner is a scholar working on Molecular Biology, Physiology, Immunology, Pathology and Forensic Medicine and Cardiology and Cardiovascular Medicine, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (15 papers), Nitric Oxide and Endothelin Effects (15 papers), Cardiac Ischemia and Reperfusion (10 papers), Cardiac Fibrosis and Remodeling (5 papers), Glioma Diagnosis and Treatment (5 papers), Medical and Biological Ozone Research (4 papers), Immune cells in cancer (4 papers) and Heart Failure Treatment and Management (4 papers). The work is most often cited by research in Immunology (274 citations), Physiology (207 citations), Biochemistry (56 citations), Nutrition and Dietetics (108 citations) and Cardiology and Cardiovascular Medicine (132 citations). Benjamin S. Rayner has collaborated with scholars based in Australia, Denmark and United Kingdom. Frequent co-authors include Clare L. Hawkins, Paul K. Witting, Dominic Love, Roland Stocker, Yunjia Zhang, Ben J. Wu, Leila Reyes, Ravinay Bhindi, David van Reyk and Anthony C. Dona. Their work appears in journals such as Free Radical Biology and Medicine, Archives of Biochemistry and Biophysics, Redox Biology, Redox Report and Antioxidants.

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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