L. Sutherland

14 papers receiving 644 citations

Peers

L. Sutherland
Comparison fields: 5 of 84
  • Pharmacology 132
  • Endocrinology 43
  • Biochemistry 50
  • Genetics 187
  • Clinical Biochemistry 37
Replace Susanne Kneip with:
Susanne Kneip Germany
Shilpa Kamath United States
Joshua F. Alfaro United States
Doris Balinsky South Africa
A Szewczuk Poland
Bengt Mannervik Sweden
Lorenzo Ferri Italy
Shaukat H. Rangwala United States
Ioan Petrescu Romania
Elena Presecan-Siedel Germany
L. Sutherland relative to Susanne Kneip Germany Susanne Kneip's profile →
Citations per field
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Susanne Kneip · 1×
Citations per year

Countries citing papers authored by L. Sutherland

Since Specialization
Citations

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

Fields of papers citing papers by L. Sutherland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1986191
2 1991111
3 199194
4 198849
5
Heterogeneity of chemosensitivity in human breast carcinoma: use of an adenosine triphosphate (ATP) chemiluminescence assay.
199348
6 198744
7 199440
8 199226
9 198822
10 199115
11 199410
12 19985
13 19885
14
Multisite oligonucleotide-mediated mutagenesis: application to the conversion of a mitochondrial gene to universal genetic code.
19954

About L. Sutherland

L. Sutherland is a scholar working on Pharmacology, Infectious Diseases, Pediatrics, Perinatology and Child Health, Clinical Biochemistry and Hepatology, having authored 14 papers that have together received 664 indexed citations. Recurring topics across this work include Neonatal Health and Biochemistry (3 papers), Clostridium difficile and Clostridium perfringens research (3 papers), Pancreatic function and diabetes (2 papers), Bacterial Genetics and Biotechnology (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Glycosylation and Glycoproteins Research (2 papers), Metabolism and Genetic Disorders (1 paper) and Trace Elements in Health (1 paper). The work is most often cited by research in Pharmacology (132 citations), Endocrinology (43 citations), Biochemistry (50 citations), Genetics (187 citations) and Clinical Biochemistry (37 citations). L. Sutherland has collaborated with scholars based in United Kingdom, France and Switzerland. Frequent co-authors include Ian R. Booth, John Cairney, Brian Burchell, Christopher F. Higgins, C. F. Higgins, Richard Wooster, Douglas J. Clarke, Thomas Ebner, Gérard Siest and Nicole Sabolovic. Their work appears in journals such as Journal of Applied Microbiology, Journal of Bacteriology, Annals of Human Genetics, Microbiology and Journal of Cardiovascular Pharmacology.

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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