Chris Mackenzie

1.7k citations
19 papers · 912 · h-index 14

Impact in

Papers in

    • Genomics and Phylogenetic Studies 8
    • Receptor Mechanisms and Signaling 5
    • Photosynthetic Processes and Mechanisms 4
    • Microbial Community Ecology and Physiology 7

Chris Mackenzie

18 papers receiving 888 citations

Peers

Chris Mackenzie
Comparison fields: 5 of 99
  • Molecular Biology 680
  • Cellular and Molecular Neuroscience 177
  • Endocrinology 34
  • Ecology 154
  • Infectious Diseases 97
Replace Yingying Li with:
Yingying Li China
Maud M. Morshedi United States
Christopher Wreden United States
Jason M. Meyer United States
Lynne S. Cairns United Kingdom
Josef Kraus Czechia
Junko Kajimura Japan
Alexandrine Froger France
Larry J. Bischof United States
Chris Mackenzie relative to Yingying Li China Yingying Li's profile →
Citations per field
00.5×2.8×
Yingying Li · 1×
Citations per year

Countries citing papers authored by Chris Mackenzie

Since Specialization
Citations

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

Fields of papers citing papers by Chris Mackenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1998187
2 2017161
3 2001110
4 200772
5 201469
6 202140
7 200340
8 200538
9 200030
10 199727
11 199526
12 199624
13 199920
14 200617
15 200113
16 199913
17 200413
18 199912
19 20060

About Chris Mackenzie

Chris Mackenzie is a scholar working on Molecular Biology, Ecology, Cellular and Molecular Neuroscience, Physiology and Infectious Diseases, having authored 19 papers that have together received 912 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (8 papers), Microbial Community Ecology and Physiology (7 papers), Neuropeptides and Animal Physiology (5 papers), Receptor Mechanisms and Signaling (5 papers), Photosynthetic Processes and Mechanisms (4 papers), Infective Endocarditis Diagnosis and Management (2 papers), Legume Nitrogen Fixing Symbiosis (2 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Molecular Biology (680 citations), Cellular and Molecular Neuroscience (177 citations), Endocrinology (34 citations), Ecology (154 citations) and Infectious Diseases (97 citations). Chris Mackenzie has collaborated with scholars based in United States, United Kingdom and Ireland. Frequent co-authors include Samuel Kaplan, E.M. Lutz, Derek McCulloch, Madhusudan Choudhary, Rory Mitchell, Wei Zhou, George Fink, Myles Fennell, Stuart C. Sealfon and Melanie S. Johnson. Their work appears in journals such as Journal of Bacteriology, Annals of the New York Academy of Sciences, PLoS Pathogens, Microbiology and Molecular Microbiology.

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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