Lee Shaw

1.5k citations
27 papers · 1.0k · h-index 17

Impact in

    • Glycosylation and Glycoproteins Research
    • Viral Infectious Diseases and Gene Expression in Insects
  • Cell Biology top 10%
    • Proteoglycans and glycosaminoglycans research

Papers in

Lee Shaw

27 papers receiving 1000 citations

Peers

Lee Shaw
Comparison fields: 5 of 106
  • Molecular Biology 644
  • Cell Biology 151
  • Immunology 181
  • Clinical Biochemistry 49
  • Biotechnology 53
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Citations per field
00.5×4.4×
Byron Anderson · 1×
Citations per year

Countries citing papers authored by Lee Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Lee Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001238
2 1988122
3 199666
4 201162
5 200248
6 199948
7
International Federation of Clinical Chemistry, (IFCC), Scientific Committee, Analytical Section. IFCC methods for the measurement of catalytic concentration of enzymes. Part 4. IFCC method for gamma-glutamyltransferase [(gamma-glutamyl)-peptide: amino acid gamma-glutamyltransferase, EC 2.3.2.2].
198346
8 199044
9 200335
10 199833
11 199832
12 198928
13 200224
14 198023
15 200323
16 198822
17 198722
18
Hydrolysis of glutathione by human liver gamma-glutamyltransferase.
197916
19 201016
20 199116

About Lee Shaw

Lee Shaw is a scholar working on Molecular Biology, Cancer Research, Materials Chemistry, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 27 papers that have together received 1.0k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (9 papers), Cancer, Hypoxia, and Metabolism (4 papers), Enzyme Structure and Function (3 papers), Metabolism and Genetic Disorders (2 papers), Renal Transplantation Outcomes and Treatments (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Viral gastroenteritis research and epidemiology (2 papers) and Porphyrin Metabolism and Disorders (2 papers). The work is most often cited by research in Molecular Biology (644 citations), Cell Biology (151 citations), Immunology (181 citations), Clinical Biochemistry (49 citations) and Biotechnology (53 citations). Lee Shaw has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Roland Schauer, Yanina N. Malykh, Roland Schauer, Oliver Wiedow, Freerk Prenzel, Steffen Sandmann, Thomas Unger, J H Strømme, Anne Harduin‐Lepers and René Cacan. Their work appears in journals such as Clinical Chemistry, European Journal of Immunology, FEBS Letters, European Journal of Biochemistry and Glycobiology.

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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