Kevin R. MacKenzie
- Biochemistry top 1%
- Molecular Biology top 5%
- Chemical Synthesis and Analysis 10
- Lipid Membrane Structure and Behavior 9
- Protein Structure and Dynamics 6
- Glycosylation and Glycoproteins Research 4
- Protein Degradation and Inhibitors 4
- Cell Biology top 5%
- Cellular transport and secretion 5
- Spectroscopy top 5%
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- Pharmacogenetics and Drug Metabolism 6
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- Synthesis and Catalytic Reactions 5
- Co-authors
- Donald M. EngelmanJames H. PrestegardMirjana Maletić‐SavatićEndah S. SulistijoHugo J. BellenNagireddy PutluriIsaiah T. ArkinAxel T. Brünger
- Journals
- Science (1 paper)Chemical Reviews (1 paper)Proceedings of the National Academy of Sciences (3 papers)
- Partner nations
- United StatesJapanGermany
In The Last Decade
Kevin R. MacKenzie
51 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Biochemistry 328
- Molecular Biology 2.4k
- Cell Biology 352
- Cellular and Molecular Neuroscience 339
- Spectroscopy 295
Countries citing papers authored by Kevin R. MacKenzie
This map shows the geographic impact of Kevin R. 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 Kevin R. MacKenzie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin R. MacKenzie more than expected).
Fields of papers citing papers by Kevin R. MacKenzie
This network shows the impact of papers produced by Kevin R. 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 Kevin R. MacKenzie. The network helps show where Kevin R. MacKenzie may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin R. MacKenzie, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 3 | |
| 5 | 2024 | 4 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 56 | |
| 8 | 2021 | 12 | |
| 9 | 2021 | 27 | |
| 10 | 2020 | 70 | |
| 11 | 2020 | 14 | |
| 12 | The Glia-Neuron Lactate Shuttle and Elevated ROS Promote Lipid Synthesis in Neurons and Lipid Droplet Accumulation in Glia via APOE/Dbreakdown → | 2017 | 384 |
| 13 | 2017 | 54 | |
| 14 | 2016 | 8 | |
| 15 | 2006 | 111 | |
| 16 | 2006 | 183 | |
| 17 | 2006 | 61 | |
| 18 | 2003 | 89 | |
| 19 | 2000 | 100 | |
| 20 | 1996 | 17 |
About Kevin R. MacKenzie
Kevin R. MacKenzie is a scholar working on Pharmacology, Biochemistry and Molecular Biology, having authored 53 papers that have together received 3.3k indexed citations. Recurring topics across this work include Chemical Synthesis and Analysis (10 papers), Lipid Membrane Structure and Behavior (9 papers), Protein Structure and Dynamics (6 papers), Pharmacogenetics and Drug Metabolism (6 papers), Synthesis and Catalytic Reactions (5 papers), Cellular transport and secretion (5 papers), Glycosylation and Glycoproteins Research (4 papers) and Protein Degradation and Inhibitors (4 papers). The work is most often cited by research in Biochemistry (328 citations), Molecular Biology (2.4k citations) and Cell Biology (352 citations). Kevin R. MacKenzie has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Donald M. Engelman, James H. Prestegard, Mirjana Maletić‐Savatić, Endah S. Sulistijo, Hugo J. Bellen, Nagireddy Putluri, Isaiah T. Arkin, Axel T. Brünger, Allan Chris M. Ferreon and Kyoung‐Jae Choi. Their work appears in journals such as Science, Chemical Reviews and Proceedings of the National Academy of Sciences.
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.