Kevin R. MacKenzie

4.2k citations
53 papers · 3.3k indexed · 2 hit papers · h-index 24
Topics
Chemical Synthesis and Analysis (10 papers)Lipid Membrane Structure and Behavior (9 papers)Protein Structure and Dynamics (6 papers)

In The Last Decade

Kevin R. MacKenzie

51 papers receiving 3.2k citations

Hit Papers

A Transmembrane Helix Dimer: Structure and Implications199720262006201619972017250500750

Peers

Kevin R. MacKenzie
Comparison fields: 5 of 120
  • Molecular Biology 2.4k
  • Cell Biology 352
  • Cellular and Molecular Neuroscience 339
  • Biochemistry 328
  • Physiology 316
Replace Tomohiro Nishizawa with:
Tomohiro Nishizawa Japan
Mathias J. Gerl Germany
Jianming Xie United States
Atsuko Yamashita Japan
Sang Hoon Ha South Korea
Hugo L. Monaco Italy
Javier Navarro United States
Peter Hodder United States
Michał A. Surma Germany
Sew‐Yeu Peak‐Chew United Kingdom
Kevin R. MacKenzie relative to Tomohiro Nishizawa Japan Tomohiro Nishizawa's profile →
Citations per field
00.5×1.5×1.9×
Tomohiro Nishizawa · 1×
Citations per year

Countries citing papers authored by Kevin R. MacKenzie

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kevin R. MacKenzie

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin R. MacKenzie. A scholar is included among the top collaborators of Kevin R. 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 Kevin R. MacKenzie. Kevin R. MacKenzie is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 3
5 4
6 1
7 56
8 12
9 27
10 70
11 14
12
The Glia-Neuron Lactate Shuttle and Elevated ROS Promote Lipid Synthesis in Neurons and Lipid Droplet Accumulation in Glia via APOE/Dbreakdown →
384
13 54
14 8
15 111
16 183
17 61
18 89
19 100
20 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) and Protein Structure and Dynamics (6 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.

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