Caroline Gray

24 papers receiving 730 citations

Peers

Caroline Gray
Comparison fields: 5 of 87
  • Cell Biology 227
  • Immunology 193
  • Neurology 50
  • Molecular Biology 337
  • Physiology 100
Replace Hideaki Tamaki with:
Hideaki Tamaki Japan
Talaibek Borbiev United States
Moonsun Hwang United States
Leonardo J. Leon United States
Jeffrey M. Lynch United States
Miki Shimizu Japan
Huashan Wang United States
Chenyan Wu United States
Pirjo M. Apaja Canada
Michael J. Munson Sweden
Caroline Gray relative to Hideaki Tamaki Japan Hideaki Tamaki's profile →
Citations per field
00.5×3.3×
Hideaki Tamaki · 1×
Citations per year

Countries citing papers authored by Caroline Gray

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011162
2 2016110
3 199974
4 199657
5 200754
6 201337
7 201536
8 199836
9 200935
10 199823
11
The effect of L-arginine on myocardial recovery after cardioplegic arrest and ischemia under moderate and deep hypothermia.
199720
12 200017
13 198917
14 200113
15 201311
16 20196
17 20125
18 20015
19
Effect of myocardial reperfusion on the release of nitric oxide after regional ischemia: an experimental model of beating-heart surgery.
20065
20 19985

About Caroline Gray

Caroline Gray is a scholar working on Molecular Biology, Physiology, Pathology and Forensic Medicine, Cell Biology and Immunology, having authored 25 papers that have together received 740 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (4 papers), Heat shock proteins research (4 papers), Cardiac Ischemia and Reperfusion (4 papers), Zebrafish Biomedical Research Applications (4 papers), Ion channel regulation and function (2 papers), Physiological and biochemical adaptations (2 papers), Aquaculture disease management and microbiota (2 papers) and Radiation Therapy and Dosimetry (1 paper). The work is most often cited by research in Cell Biology (227 citations), Immunology (193 citations), Neurology (50 citations), Molecular Biology (337 citations) and Physiology (100 citations). Caroline Gray has collaborated with scholars based in United Kingdom, Poland and United States. Frequent co-authors include Magdi H. Yacoub, Tim Chico, David C. Crossman, Mohamed Amrani, Andrew Goodwin, Moira K. B. Whyte, Stephen A. Renshaw, Laura Fernandez del Ama, Christopher J. Secombes and Adam Hurlstone. Their work appears in journals such as Journal of Thoracic and Cardiovascular Surgery, Arteriosclerosis Thrombosis and Vascular Biology, European Journal of Cardio-Thoracic Surgery, Advances in experimental medicine and biology and Clinical Science.

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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