J. G. Salway

887 citations
23 papers · 657 indexed · h-index 11
Topics
Protein Kinase Regulation and GTPase Signaling (3 papers)Pain Mechanisms and Treatments (2 papers)Metabolism and Genetic Disorders (2 papers)

In The Last Decade

J. G. Salway

23 papers receiving 602 citations

Peers

J. G. Salway
Comparison fields: 5 of 106
  • Molecular Biology 284
  • Physiology 165
  • Cell Biology 98
  • Cellular and Molecular Neuroscience 78
  • Surgery 76
Replace Brigitte Bois-Joyeux with:
Brigitte Bois-Joyeux France
Stephen S. Goldman United States
S Varrone Italy
Renzo Deana Italy
Peter K.W. Harris United States
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Yong‐Ou Kim South Korea
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J. G. Salway relative to Brigitte Bois-Joyeux France Brigitte Bois-Joyeux's profile →
Citations per field
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Citations per year

Countries citing papers authored by J. G. Salway

Since Specialization
Citations

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

Fields of papers citing papers by J. G. Salway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. G. Salway

This figure shows the co-authorship network connecting the top 25 collaborators of J. G. Salway. A scholar is included among the top collaborators of J. G. Salway 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 J. G. Salway. J. G. Salway 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 7
2
International Federation of Clinical Chemistry (IFCC) Scientific Committee: drug interferences and drug effects in clinical chemistry. Part 7. Data banks.
1
3 9
4
Drug effects on laboratory test results : proceedings of a Workshop on the Use of Laboratory Test Results, Variations Due to Drug Intake
1
5 1
6 46
7 2
8 9
9 1
10 4
11 8
12 6
13 28
14 24
15 22
16 26
17 104
18 19
19 43
20 32

About J. G. Salway

J. G. Salway is a scholar working on Physiology, Biological Psychiatry and Clinical Biochemistry, having authored 23 papers that have together received 657 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (3 papers), Pain Mechanisms and Treatments (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (53 citations), Biochemistry (54 citations) and Aging (12 citations). J. G. Salway has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include J. N. Hawthorne, Masahiro Kai, I E Hughes, R. B. Payne, Richdeep S. Gill, David A. Barnett, Robert H. Michell, G. L. White, R. P. Hullin and John L. Harwood. Their work appears in journals such as The Lancet, Biochemical and Biophysical Research Communications and Journal of Neurochemistry.

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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