N G Read

1.3k citations
21 papers · 1.0k indexed · h-index 11

N G Read

21 papers receiving 981 citations

Peers

N G Read
Comparison fields: 5 of 93
  • Biochemistry 155
  • Pathology and Forensic Medicine 298
  • Biophysics 81
  • Physiology 367
  • Immunology 214
Replace Xiaomang You with:
Xiaomang You Canada
A M Lefer United States
Klaudia Budzyn Australia
Tatsiana Suvorava Germany
Robin Ray United Kingdom
Kouichi Ogawa Japan
Christophe Montessuit Switzerland
Hisashi Fukuzaki Japan
E. Pirotzky France
Frank A. DeLano United States
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Citations per field
00.5×2.6×
Xiaomang You · 1×
Citations per year

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-authorship network

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
#Work
1 19971
2 199648
3 19959
4 1994303
5 199111
6 19894
7 198822
8 198816
9
Quantitative histological analysis of antigen-induced arthritis in the rabbit.
198810
10
The effects of levamisole on urinary enzyme measurements and proximal tubule cell inclusions in male rats.
19882
11 198621
12 19865
13 198566
14 198515
15 1984405
16 198219
17 19822
18 19825
19 197961
20
Mepacrine uptake by granulocytes [proceedings].
19782

About N G Read

N G Read is a scholar working on Biochemistry, Biological Psychiatry, Immunology, Pharmacology and Pathology and Forensic Medicine, having authored 21 papers that have together received 1.0k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (3 papers), Immunotoxicology and immune responses (2 papers), Neuroscience and Neuropharmacology Research (2 papers), Lipid Membrane Structure and Behavior (2 papers), Biomedical Research and Pathophysiology (2 papers), Eicosanoids and Hypertension Pharmacology (2 papers), Receptor Mechanisms and Signaling (2 papers) and Cardiac Ischemia and Reperfusion (2 papers). The work is most often cited by research in Biochemistry (155 citations), Pathology and Forensic Medicine (298 citations), Biophysics (81 citations), Physiology (367 citations) and Immunology (214 citations). N G Read has collaborated with scholars based in United Kingdom, Bulgaria and Malta. Frequent co-authors include Salvador Moncada, J. Salmon, Kevin Mullane, Marek W. Radomski, David A. Goodwin, Victor Darley‐Usmar, Martin Feelisch, S. Moncada, Marı́a A. Moro and Christopher Brook. Their work appears in journals such as Journal of Pharmacy and Pharmacology, Thrombosis Research, Archives of Toxicology, British Journal of Haematology and Journal of Pharmacology and Experimental Therapeutics.

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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