R. A. Chalmers

6.4k citations
180 papers · 4.3k indexed · h-index 38

Impact in

Papers in

R. A. Chalmers

177 papers receiving 4.0k citations

Peers

R. A. Chalmers
Comparison fields: 5 of 142
  • Clinical Biochemistry 2.2k
  • Biochemistry 365
  • Physiology 877
  • Pediatrics, Perinatology and Child Health 633
  • Molecular Biology 2.1k
Replace Akira Tsuji with:
Akira Tsuji Japan
Udo F. H. Engelke Netherlands
R. A. Iles United Kingdom
U. Wendel Germany
B. H. Robinson Canada
Suzanne Wehrli United States
Craig R. Malloy United States
Bruce A. Barshop United States
Merle L. Blank United States
Paul Canioni France
R. A. Chalmers relative to Akira Tsuji Japan Akira Tsuji's profile →
Citations per field
00.5×1.5×
Akira Tsuji · 1×
Citations per year

Countries citing papers authored by R. A. Chalmers

Since Specialization
Citations

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

Fields of papers citing papers by R. A. Chalmers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. Chalmers. 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 R. A. Chalmers. The network helps show where R. A. Chalmers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20059
2 200541
3 200525
4 200131
5 200064
6 20007
7
Deconvolution GC/MS of Urinary Organic Acids {?} Potential for Pattern Recognition and Automated Identification of Metabolic Disorders
19992
8 199959
9 19968
10 199219
11 19919
12 199017
13 19909
14 19901
15 199038
16 198912
17 198854
18 19861
19 19752
20 19721

About R. A. Chalmers

R. A. Chalmers is a scholar working on Clinical Biochemistry, Biochemistry, Pediatrics, Perinatology and Child Health, Physiology and Rheumatology, having authored 180 papers that have together received 4.3k indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (109 papers), Neonatal Health and Biochemistry (32 papers), Diet and metabolism studies (28 papers), Folate and B Vitamins Research (24 papers), Mitochondrial Function and Pathology (23 papers), Metabolomics and Mass Spectrometry Studies (16 papers), Amino Acid Enzymes and Metabolism (15 papers) and Erythrocyte Function and Pathophysiology (13 papers). The work is most often cited by research in Clinical Biochemistry (2.2k citations), Biochemistry (365 citations), Physiology (877 citations), Pediatrics, Perinatology and Child Health (633 citations) and Molecular Biology (2.1k citations). R. A. Chalmers has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include R. W. E. Watts, A. M. Lawson, T. E. Stacey, Charles R. Roe, R. A. Iles, Murray Bain, Charles L. Hoppel, B. M. Tracey, David S. Millington and Bridget E. Bax. Their work appears in journals such as Biochemical Society Transactions, Journal of Inherited Metabolic Disease, Clinica Chimica Acta, Clinical Science and European Journal of Pediatrics.

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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