Kevin MacPherson‐Hawthorne

81 total papers · 421 total citations
11 papers, 70 citations indexed

About

Kevin MacPherson‐Hawthorne is a scholar working on Molecular Biology, Immunology and Surgery. According to data from OpenAlex, Kevin MacPherson‐Hawthorne has authored 11 papers receiving a total of 70 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 3 papers in Immunology and 1 paper in Surgery. Recurrent topics in Kevin MacPherson‐Hawthorne's work include Microbial Metabolic Engineering and Bioproduction (3 papers), Bioinformatics and Genomic Networks (3 papers) and Fungal and yeast genetics research (2 papers). Kevin MacPherson‐Hawthorne is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (3 papers), Bioinformatics and Genomic Networks (3 papers) and Fungal and yeast genetics research (2 papers). Kevin MacPherson‐Hawthorne collaborates with scholars based in United States and Saudi Arabia. Kevin MacPherson‐Hawthorne's co-authors include Stacia R. Engel, Stuart R. Miyasato, Matt Simison, Edith D. Wong, J. Michael Cherry, Robert S Nash, Marek S. Skrzypek, Shuai Weng, Kalpana Karra and Gail Binkley and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and The Journal of Pathology.

In The Last Decade

Kevin MacPherson‐Hawthorne

9 papers receiving 70 citations

Author Peers

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

Author Last Decade Papers Cites
Kevin MacPherson‐Hawthorne 49 14 13 5 4 11 70
Shirui Chen 46 0.9× 20 1.4× 6 0.5× 5 1.0× 8 2.0× 14 93
L. Diaz Saez 64 1.3× 8 0.6× 16 1.2× 5 1.0× 6 1.5× 10 87
Mikołaj Rybiński 62 1.3× 18 1.3× 21 1.6× 3 0.6× 5 1.3× 10 98
Daphne E.C. Boer 124 2.5× 10 0.7× 9 0.7× 2 0.4× 8 2.0× 9 239
Melissa Bennion 52 1.1× 7 0.5× 15 1.2× 4 0.8× 7 1.8× 8 97
Hironori Mutoh 38 0.8× 15 1.1× 7 0.5× 13 2.6× 3 0.8× 8 77
Burcu Aykaç Fas 72 1.5× 3 0.2× 20 1.5× 4 0.8× 5 1.3× 8 109
Martin Ondrej 58 1.2× 6 0.4× 12 0.9× 3 0.6× 19 4.8× 10 119
Kunal Kundu 59 1.2× 17 1.2× 10 0.8× 1 0.2× 7 1.8× 12 110
Zhenyun Zhu 35 0.7× 7 0.5× 10 0.8× 10 2.0× 4 1.0× 10 80

Countries citing papers authored by Kevin MacPherson‐Hawthorne

Since Specialization
Citations

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

Fields of papers citing papers by Kevin MacPherson‐Hawthorne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin MacPherson‐Hawthorne. 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 MacPherson‐Hawthorne. The network helps show where Kevin MacPherson‐Hawthorne may publish in the future.

Co-authorship network of co-authors of Kevin MacPherson‐Hawthorne

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

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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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