Danny MacKenzie

1.7k total citations · 1 hit paper
9 papers, 1.2k citations indexed

About

Danny MacKenzie is a scholar working on Molecular Biology, Physiology and Cognitive Neuroscience. According to data from OpenAlex, Danny MacKenzie has authored 9 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Physiology and 2 papers in Cognitive Neuroscience. Recurrent topics in Danny MacKenzie's work include Alzheimer's disease research and treatments (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Danny MacKenzie is often cited by papers focused on Alzheimer's disease research and treatments (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). Danny MacKenzie collaborates with scholars based in United States, Germany and Slovakia. Danny MacKenzie's co-authors include Susanne Wegmann, Bradley T. Hyman, Rachel E. Bennett, Zhanyun Fan, Andrea Watters, Dong Zhang, P. Laskowski, Daniel J. Müller, Anthony A. Hyman and Amayra Hernández‐Vega and has published in prestigious journals such as Nucleic Acids Research, The EMBO Journal and Cancer.

In The Last Decade

Danny MacKenzie

9 papers receiving 1.2k citations

Hit Papers

Tau protein liquid–liquid phase separation can initiate t... 2018 2026 2020 2023 2018 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Danny MacKenzie United States 7 760 311 163 114 106 9 1.2k
Irina N. Gaisina United States 23 931 1.2× 270 0.9× 121 0.7× 211 1.9× 122 1.2× 59 1.6k
Cheng-Xin Gong United States 6 819 1.1× 474 1.5× 97 0.6× 125 1.1× 142 1.3× 8 1.1k
Andrea Magrì Italy 22 955 1.3× 445 1.4× 128 0.8× 268 2.4× 250 2.4× 43 1.5k
Jianlan Gu China 15 666 0.9× 557 1.8× 130 0.8× 186 1.6× 167 1.6× 34 1.2k
Prasad Tammineni United States 15 675 0.9× 505 1.6× 103 0.6× 157 1.4× 126 1.2× 20 1.2k
Silva Hečimović Croatia 20 818 1.1× 852 2.7× 145 0.9× 226 2.0× 120 1.1× 44 1.6k
Chunfeng Huo United States 10 406 0.5× 411 1.3× 96 0.6× 125 1.1× 122 1.2× 13 986
Lonnie Schneider United States 11 641 0.8× 559 1.8× 91 0.6× 157 1.4× 98 0.9× 16 1.1k
Katarzyna Marta Zoltowska United States 17 982 1.3× 556 1.8× 126 0.8× 172 1.5× 272 2.6× 22 1.6k
Katherine A. B. Kellett United Kingdom 18 521 0.7× 588 1.9× 132 0.8× 163 1.4× 63 0.6× 29 1.2k

Countries citing papers authored by Danny MacKenzie

Since Specialization
Citations

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

Fields of papers citing papers by Danny MacKenzie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danny MacKenzie

This figure shows the co-authorship network connecting the top 25 collaborators of Danny MacKenzie. A scholar is included among the top collaborators of Danny MacKenzie based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danny MacKenzie. Danny MacKenzie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
MacKenzie, Danny, Settapong T Kosiyatrakul, Randy F. Stout, et al.. (2024). Elucidation of the molecular mechanism of the breakage-fusion-bridge (BFB) cycle using a CRISPR-dCas9 cellular model. Nucleic Acids Research. 52(19). 11689–11703. 1 indexed citations
2.
MacKenzie, Danny, et al.. (2022). Diagnostic Biomarkers and Therapeutic Targets of ALT-Positive Cancers. 9(5). 48–50. 2 indexed citations
3.
MacKenzie, Danny, et al.. (2021). ALT Positivity in Human Cancers: Prevalence and Clinical Insights. Cancers. 13(10). 2384–2384. 59 indexed citations
4.
Seltzer, Emily S., et al.. (2020). Cannabidiol (CBD) as a Promising Anti-Cancer Drug. Cancers. 12(11). 3203–3203. 175 indexed citations
5.
Watters, Andrea, Emily S. Seltzer, Danny MacKenzie, et al.. (2020). The Effects of Genetic and Epigenetic Alterations of BARD1 on the Development of Non-Breast and Non-Gynecological Cancers. Genes. 11(7). 829–829. 12 indexed citations
6.
Wegmann, Susanne, Rachel E. Bennett, L. D. Delorme, et al.. (2019). Experimental evidence for the age dependence of tau protein spread in the brain. Science Advances. 5(6). eaaw6404–eaaw6404. 101 indexed citations
7.
Wegmann, Susanne, Bahareh Eftekharzadeh, Katharina Tepper, et al.. (2018). Tau protein liquid–liquid phase separation can initiate tau aggregation. The EMBO Journal. 37(7). 769 indexed citations breakdown →
8.
Szuhany, Kristin L., Danny MacKenzie, & Michael W. Otto. (2018). The impact of depressed mood, working memory capacity, and priming on delay discounting. Journal of Behavior Therapy and Experimental Psychiatry. 60. 37–41. 20 indexed citations
9.
Lumb, George & Danny MacKenzie. (1959). The incidence of metastases in adrenal glands and ovaries removed for carcinoma of the breast. Cancer. 12(3). 521–526. 35 indexed citations

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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