John N. McMillan

13 total papers · 2.1k total citations
12 papers, 1.6k citations indexed

About

John N. McMillan is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, John N. McMillan has authored 12 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Cell Biology and 3 papers in Plant Science. Recurrent topics in John N. McMillan's work include Fungal and yeast genetics research (10 papers), Microtubule and mitosis dynamics (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). John N. McMillan is often cited by papers focused on Fungal and yeast genetics research (10 papers), Microtubule and mitosis dynamics (3 papers) and Protein Kinase Regulation and GTPase Signaling (2 papers). John N. McMillan collaborates with scholars based in United States, Germany and Italy. John N. McMillan's co-authors include Daniel J. Lew, John R. Pringle, Rey A. L. Sia, Chandra L. Theesfeld, Mark S. Longtine, Elaine S.G. Bardes, Elaine Yeh, Paul S. Maddox, Edward D. Salmon and Erfei Bi and has published in prestigious journals such as The Journal of Cell Biology, Molecular and Cellular Biology and Molecular Biology of the Cell.

In The Last Decade

John N. McMillan

11 papers receiving 1.6k citations

Hit Papers

An RNAi-Based Control of ... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
John N. McMillan 1.3k 692 640 151 131 12 1.6k
Michael Plamann 1.8k 1.4× 953 1.4× 472 0.7× 43 0.3× 101 0.8× 43 2.2k
Carl T. Yamashiro 1.5k 1.1× 420 0.6× 246 0.4× 184 1.2× 116 0.9× 24 2.0k
William J. Belden 1.1k 0.8× 756 1.1× 565 0.9× 162 1.1× 25 0.2× 37 2.1k
Gregory Jedd 1.6k 1.2× 777 1.1× 566 0.9× 20 0.1× 64 0.5× 34 2.0k
Caroline B. Michielse 1.0k 0.8× 952 1.4× 1.4k 2.3× 32 0.2× 140 1.1× 21 2.1k
Chuck Stäben 1.1k 0.9× 431 0.6× 786 1.2× 37 0.2× 58 0.4× 27 1.7k
S Garrett 1.6k 1.3× 350 0.5× 331 0.5× 56 0.4× 86 0.7× 45 2.0k
Stephan te Heesen 1.7k 1.3× 644 0.9× 347 0.5× 70 0.5× 126 1.0× 19 2.1k
Flora Banuett 1.8k 1.4× 447 0.6× 1.1k 1.7× 55 0.4× 168 1.3× 23 2.2k
Liande Li 1.3k 1.0× 130 0.2× 596 0.9× 129 0.9× 50 0.4× 22 1.6k

Countries citing papers authored by John N. McMillan

Since Specialization
Citations

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

Fields of papers citing papers by John N. McMillan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John N. McMillan. 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 John N. McMillan. The network helps show where John N. McMillan may publish in the future.

Co-authorship network of co-authors of John N. McMillan

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

All Works

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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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