Bryan Mackenzie

9.7k citations
60 papers · 7.9k indexed · 2 hit papers · h-index 32

Bryan Mackenzie

59 papers receiving 7.8k citations

Hit Papers

A family of mammalian Na+-dependent L-ascorbic acid trans...732199720262006201650010001.5k2.0k2.5k

Peers

Bryan Mackenzie
Comparison fields: 5 of 140
  • Nutrition and Dietetics 4.3k
  • Hematology 3.0k
  • Genetics 1.4k
  • Biochemistry 858
  • Health, Toxicology and Mutagenesis 1.5k
Replace Jonathan D. Gitlin with:
Jonathan D. Gitlin United States
Marco T. Núñez Chile
Evan H. Morgan Australia
Joseph R. Prohaska United States
Michael D. Garrick United States
Mitchell D. Knutson United States
Frank Thévenod Germany
Donald A. McClain United States
Zhaohui Feng United States
Joshua L. Dunaief United States
Bryan Mackenzie relative to Jonathan D. Gitlin United States Jonathan D. Gitlin's profile →
Citations per field
00.5×7.9×
Jonathan D. Gitlin · 1×
Citations per year

Countries citing papers authored by Bryan Mackenzie

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Mackenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20226
2 201847
3 2013102
4 2012305
5 201266
6 2012215
7 2011180
8 200910
9
Molecular impact of human divalent metal-ion transporter DMT1 mutations associated with disease phenotypes
20061
10 200570
11 2005122
12 2005164
13 2004129
14 2004423
15 2003126
16 2000207
17 1998398
18 1998101
19 199775
20 19926

About Bryan Mackenzie

Bryan Mackenzie is a scholar working on Hematology, Biochemistry and Nutrition and Dietetics, having authored 60 papers that have together received 7.9k indexed citations. Recurring topics across this work include Iron Metabolism and Disorders (30 papers), Trace Elements in Health (25 papers), Amino Acid Enzymes and Metabolism (18 papers), Hemoglobinopathies and Related Disorders (18 papers), Ion Transport and Channel Regulation (11 papers), Drug Transport and Resistance Mechanisms (7 papers), Metabolism and Genetic Disorders (7 papers) and Heavy Metal Exposure and Toxicity (7 papers). The work is most often cited by research in Nutrition and Dietetics (4.3k citations), Hematology (3.0k citations) and Genetics (1.4k citations). Bryan Mackenzie has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Matthias A. Hediger, Urs V. Berger, Michael F. Romero, Stephan Nußberger, John L. Gollan, Hiromi Gunshin, Walter F. Boron, Jeffrey D. Erickson, Ali Shawki and Hiroyasu Tsukaguchi. Their work appears in journals such as The FASEB Journal, Journal of Biological Chemistry, Pflügers Archiv - European Journal of Physiology, American Journal of Physiology-Cell Physiology and The Journal of Membrane Biology.

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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