Lloyd Mackenzie

1.9k citations
24 papers · 1.5k · h-index 17

Impact in

Papers in

    • PI3K/AKT/mTOR signaling in cancer 5
    • Glycosylation and Glycoproteins Research 4
    • Studies on Chitinases and Chitosanases 3
    • Enzyme Production and Characterization 11

Lloyd Mackenzie

20 papers receiving 1.5k citations

Peers

Lloyd Mackenzie
Comparison fields: 5 of 96
  • Biotechnology 726
  • Organic Chemistry 613
  • Molecular Biology 994
  • Nutrition and Dietetics 177
  • Biomedical Engineering 391
Replace Seung Seo Lee with:
Seung Seo Lee United Kingdom
John W. Perich Australia
Liuqing Wen China
Marina J. Gorbunoff United States
Renée Mosi Canada
Wing L. Sung Canada
Jean‐Claude Jacquinet France
Alessandra Pasquo Italy
Dietmar Lang Germany
Steven H. van Leeuwen Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Lloyd Mackenzie

Since Specialization
Citations

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

Fields of papers citing papers by Lloyd Mackenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998428
2 1998206
3 2001193
4 2013154
5 199871
6 199954
7 199750
8 201249
9 199746
10 201241
11 199939
12 201434
13 201233
14 199833
15 201631
16 199727
17 200720
18 201715
19 19988
20 20112

About Lloyd Mackenzie

Lloyd Mackenzie is a scholar working on Molecular Biology, Biotechnology, Organic Chemistry, Pulmonary and Respiratory Medicine and Nutrition and Dietetics, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Enzyme Production and Characterization (11 papers), Carbohydrate Chemistry and Synthesis (8 papers), PI3K/AKT/mTOR signaling in cancer (5 papers), Glycosylation and Glycoproteins Research (4 papers), Microbial Metabolites in Food Biotechnology (3 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers), Asthma and respiratory diseases (3 papers) and Studies on Chitinases and Chitosanases (3 papers). The work is most often cited by research in Biotechnology (726 citations), Organic Chemistry (613 citations), Molecular Biology (994 citations), Nutrition and Dietetics (177 citations) and Biomedical Engineering (391 citations). Lloyd Mackenzie has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Stephen G. Withers, R. Antony J. Warren, Qingping Wang, G.J. Davies, Martin Schülein, Annabelle Varrot, A.M. Brzozowski, Mirosława Dauter, Tom D. Heightman and John D. McCarter. Their work appears in journals such as Biochemistry, British Journal of Pharmacology, Journal of the American Chemical Society, Biochemical Journal and Blood.

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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