Ryan Mackie

483 citations
26 papers · 355 · h-index 12

Impact in

    • Genetics and Neurodevelopmental Disorders
    • Yersinia bacterium, plague, ectoparasites research

Papers in

    • Bacillus and Francisella bacterial research 8
    • Insect Resistance and Genetics 3
    • Yersinia bacterium, plague, ectoparasites research 2

Ryan Mackie

24 papers receiving 345 citations

Peers

Ryan Mackie
Comparison fields: 5 of 99
  • Virology 18
  • Genetics 88
  • Molecular Biology 194
  • Biotechnology 23
  • Endocrinology 13
Replace Jeeraphong Thanongsaksrikul with:
Jeeraphong Thanongsaksrikul Thailand
Robert L. Bull United States
Elnaz Agi Iran
Bradley W. Langhorst United States
Travis J. Chapa United States
Zhikai Xu China
François Lefebvre Canada
Jason Ziveri France
Sandro G. Soares Brazil
Pinwen Peter Chiou Taiwan
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Citations per field
00.5×1.5×
Jeeraphong Thanongsaksrikul · 1×
Citations per year

Countries citing papers authored by Ryan Mackie

Since Specialization
Citations

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

Fields of papers citing papers by Ryan Mackie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201159
2 201143
3 201637
4 201723
5 200219
6 201219
7 200317
8 201216
9 200116
10 200415
11 200215
12 201312
13 201611
14 201911
15 20188
16 20127
17 20207
18 20166
19 20145
20 20194

About Ryan Mackie

Ryan Mackie is a scholar working on Molecular Biology, Genetics, Biotechnology, Virology and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 355 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (8 papers), Microbial Inactivation Methods (4 papers), Insect Resistance and Genetics (3 papers), Yersinia bacterium, plague, ectoparasites research (2 papers), Environmental Toxicology and Ecotoxicology (2 papers), Herpesvirus Infections and Treatments (2 papers), HIV Research and Treatment (2 papers) and Carcinogens and Genotoxicity Assessment (2 papers). The work is most often cited by research in Virology (18 citations), Genetics (88 citations), Molecular Biology (194 citations), Biotechnology (23 citations) and Endocrinology (13 citations). Ryan Mackie has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Alfredo Rayms-Keller, Rebecca E. Schweppe, Nikita Pozdeyev, Aik Choon Tan, Bryan R. Haugen, Monique L. van Hoek, Barry J. Beaty, Barry J. Beaty, Jason J. Serpa and Evgeniy V. Petrotchenko. Their work appears in journals such as Journal of Applied Microbiology, Risk Analysis, Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology, Applied Surface Science and Journal of Cataract & Refractive Surgery.

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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