Christopher J. Walker

26 papers receiving 545 citations

Peers

Christopher J. Walker
Comparison fields: 5 of 94
  • Endocrinology, Diabetes and Metabolism 372
  • Animal Science and Zoology 129
  • Toxicology 42
  • Cell Biology 173
  • Pharmacology 145
Replace K. Roels with:
K. Roels Belgium
Catrin Goebel Australia
Wim Van Thuyne Belgium
L Avois Switzerland
Gerd Sigmund Germany
Michael Petrou Cyprus
Yvonne Schrader Germany
Dorota Kwiatkowska Poland
Laurie Gheddar France
Claude Somma-Delpéro France
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Citations per field
00.5×1.6×
K. Roels · 1×
Citations per year

Countries citing papers authored by Christopher J. Walker

Since Specialization
Citations

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

Fields of papers citing papers by Christopher J. Walker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201463
2 200960
3 201858
4 197545
5 199545
6 199140
7 201530
8 199626
9 199226
10
Potential use of ketoconazole in a dynamic endocrine test to differentiate between biological outliers and testosterone use by athletes.
199325
11 202023
12 200816
13 200215
14 201814
15 201613
16 200812
17 200812
18 201911
19 196011
20 201911

About Christopher J. Walker

Christopher J. Walker is a scholar working on Endocrinology, Diabetes and Metabolism, Animal Science and Zoology, Cell Biology, Pharmacology and Pharmacology, having authored 28 papers that have together received 587 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (18 papers), Pharmacological Effects and Assays (10 papers), Muscle metabolism and nutrition (6 papers), Pharmacogenetics and Drug Metabolism (4 papers), Pharmacology and Obesity Treatment (4 papers), Pesticide Residue Analysis and Safety (3 papers), Forensic Toxicology and Drug Analysis (2 papers) and Analytical Methods in Pharmaceuticals (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (372 citations), Animal Science and Zoology (129 citations), Toxicology (42 citations), Cell Biology (173 citations) and Pharmacology (145 citations). Christopher J. Walker has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Andrew T. Kicman, David J. Neep, R C G Russell, S. R. Bloom, Marta Di Forti, David J. Potter, Michael J. Wheeler, Michael Evans‐Brown, Simon J. Coles and Vincenzo Abbate. Their work appears in journals such as Drug Testing and Analysis, Steroids, Clinical Chemistry, Journal of Pharmacy and Pharmacology and Journal of Mass Spectrometry.

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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