Christopher Cook

25 papers receiving 1.2k citations

Hit Papers

Evaluation of Techniques for the Quantification of Myocar...20112026201620212011100200300400

Peers

Christopher Cook
Comparison fields: 5 of 97
  • Cardiology and Cardiovascular Medicine 386
  • Radiology, Nuclear Medicine and Imaging 331
  • Molecular Biology 308
  • Physiology 211
  • Cellular and Molecular Neuroscience 186
Replace Masami Niwa with:
Masami Niwa Japan
Shuichi Kobayashi Japan
Yasuo Kuroda Japan
Nelly Boehm France
Shan Shi China
Susanne Müller Germany
Pedro L. Vera United States
Linda Sanders United States
S L Hauser United States
D. Goossens Belgium
Christopher Cook relative to Masami Niwa Japan Masami Niwa's profile →
Citations per field
00.5×10.3×
Masami Niwa · 1×
Citations per year

Countries citing papers authored by Christopher Cook

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher Cook

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher Cook. A scholar is included among the top collaborators of Christopher Cook based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher Cook. Christopher Cook is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 14
3 0
4 13
5 154
6 1
7 15
8 87
9 3
10 7
11 27
12
Evaluation of Techniques for the Quantification of Myocardial Scar of Differing Etiology Using Cardiac Magnetic Resonancebreakdown →
493
13 103
14
Transatlantic Merger Control: The Courts and the Agencies
3
15
Private Enforcement of EU Competition Law in Member State Courts: Experience to Date and the Path Ahead
3
16 56
17 76
18 4
19 24
20 10

About Christopher Cook

Christopher Cook is a scholar working on Dermatology, Physiology and Endocrine and Autonomic Systems, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (5 papers), Dermatology and Skin Diseases (4 papers) and Neuropeptides and Animal Physiology (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (386 citations), Radiology, Nuclear Medicine and Imaging (331 citations) and Behavioral Neuroscience (43 citations). Christopher Cook has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Derek J. Hausenloy, Giovanni Quarta, James Moon, Jonathan M Hasleton, Cono Ariti, Vivek Muthurangu, Andrew Flett, Catherine M. Cahill, Christopher J. Evans and Anna M.W. Taylor. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Neuroscience.

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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