Brian Knowles

13 papers receiving 647 citations

Brian Knowles's Hit Papers

A solvent system for delipidation of plasma or serum without protein precipitation 1976 · 486 citations
4860+16+33Years since publication100200300400

Peers

Brian Knowles
Comparison fields: 5 of 92
  • Nephrology 82
  • Biochemistry 85
  • Endocrinology, Diabetes and Metabolism 105
  • Molecular Biology 310
  • Surgery 165
Replace Basil A. Bradlow with:
Basil A. Bradlow South Africa
Sukeo Yamamoto Japan
Barbara A. Hynd United States
Jorge J. Gumucio United States
R. Dargel Germany
Jing Hou China
Peter J.S. Chiu United States
J.W.O. van den Berg Netherlands
Azuma Watanabe Japan
Frans Marx Netherlands
Brian Knowles relative to Basil A. Bradlow South Africa Basil A. Bradlow's profile →
Citations per field
00.5×1.5×2.3×
Basil A. Bradlow · 1×
Citations per year

Countries citing papers authored by Brian Knowles

Since Specialization
Citations

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

Fields of papers citing papers by Brian Knowles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1
A solvent system for delipidation of plasma or serum without protein precipitation
Hit paper breakdown →
1976486
2 1972119
3 197131
4 197615
5 197615
6 197313
7 196211
8 201011
9 19758
10 19734
11
Use of a digital computer programme as a guide to the prescribing of kanamycin in patients with renal insufficiency.
19712
12 19781
13 19741
14 20241

About Brian Knowles

Brian Knowles is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Pediatrics, Perinatology and Child Health and Pulmonary and Respiratory Medicine, having authored 14 papers that have together received 718 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Lipid metabolism and biosynthesis (2 papers), Analytical Chemistry and Chromatography (2 papers), Pharmaceutical studies and practices (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Streptococcal Infections and Treatments (1 paper) and Muscle metabolism and nutrition (1 paper). The work is most often cited by research in Nephrology (82 citations), Biochemistry (85 citations), Endocrinology, Diabetes and Metabolism (105 citations), Molecular Biology (310 citations) and Surgery (165 citations). Brian Knowles has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Bill E. Cham, S. B. Lucas, J A Tooth, G. E. Mawer, B. T. Emmerson, Lawrie W. Powell, J.W. Kerr, June W. Halliday, YingLiang Ma and Felix Bochner. Their work appears in journals such as Clinical Chemistry, Metabolism, Journal of Lipid Research, The Lancet and Clinica Chimica Acta.

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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