N G Read

21 papers receiving 1.0k citations

N G Read's Hit Papers

Role of leukocytes in acute myocardial infarction in anesthetized dogs: relationship to myocardial salvage by anti-inflammatory drugs. 1984 · 439 citations
4390+14+28Years since publication100200300400

Peers

N G Read
Comparison fields: 5 of 95
  • Biochemistry 179
  • Pathology and Forensic Medicine 297
  • Physiology 383
  • Biophysics 84
  • Cardiology and Cardiovascular Medicine 238
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A M Lefer United States
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Yukio Toki Japan
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Countries citing papers authored by N G Read

Since Specialization
Citations

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

Fields of papers citing papers by N G Read

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N G Read. 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 N G Read. The network helps show where N G Read may publish in the future.

Co-authors

The 25 scholars most cited alongside N G Read, 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 N G Read Line = papers co-authored together N G Read 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
Role of leukocytes in acute myocardial infarction in anesthetized dogs: relationship to myocardial salvage by anti-inflammatory drugs.
Hit paper breakdown →
1984439
2 1994339
3 197976
4 198566
5 199651
6 198228
7 198826
8 198622
9 198821
10 198517
11 199512
12 199112
13
Quantitative histological analysis of antigen-induced arthritis in the rabbit.
198810
14 19857
15 19866
16 19825
17 19825
18 19894
19
Mepacrine uptake by granulocytes [proceedings].
19782
20
The effects of levamisole on urinary enzyme measurements and proximal tubule cell inclusions in male rats.
19882

About N G Read

N G Read is a scholar working on Biochemistry, Immunology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Physiology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (3 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Lipid Membrane Structure and Behavior (2 papers), Biochemical Acid Research Studies (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Cardiac Ischemia and Reperfusion (2 papers), Receptor Mechanisms and Signaling (2 papers) and Biomedical Research and Pathophysiology (2 papers). The work is most often cited by research in Biochemistry (179 citations), Pathology and Forensic Medicine (297 citations), Physiology (383 citations), Biophysics (84 citations) and Cardiology and Cardiovascular Medicine (238 citations). N G Read has collaborated with scholars based in United Kingdom, United States and Bulgaria. Frequent co-authors include Salvador Moncada, Kevin Mullane, J. A. Salmon, Marek Witold Radomski, David A. J. Goodwin, Martin Feelisch, Victor M. Darley-Usmar, María Ángeles Moro, Christopher D. Brook and G. Allan. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Archives of Toxicology, Thrombosis Research, Journal of Cardiovascular Pharmacology and Toxicology.

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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