Michael G. Mullins

23 total papers · 1.4k total citations
21 papers, 965 citations indexed

About

Michael G. Mullins is a scholar working on Plant Science, Molecular Biology and Food Science. According to data from OpenAlex, Michael G. Mullins has authored 21 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Plant Science, 16 papers in Molecular Biology and 4 papers in Food Science. Recurrent topics in Michael G. Mullins's work include Plant Reproductive Biology (10 papers), Horticultural and Viticultural Research (10 papers) and Plant tissue culture and regeneration (7 papers). Michael G. Mullins is often cited by papers focused on Plant Reproductive Biology (10 papers), Horticultural and Viticultural Research (10 papers) and Plant tissue culture and regeneration (7 papers). Michael G. Mullins collaborates with scholars based in Australia, United States and United Kingdom. Michael G. Mullins's co-authors include C. Srinivasan, Kanniah Rajasekaran, Daniel Facciotti, Fangping Tang, John H. Vine, Daphne J. Osborne, Dominique Noiton, Julie A. Plummer, Richard P. Pharis and Michelle Hale Williams and has published in prestigious journals such as Nature Biotechnology, PLANT PHYSIOLOGY and New Phytologist.

In The Last Decade

Michael G. Mullins

21 papers receiving 858 citations

Author Peers

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

Author Last Decade Papers Cites
Michael G. Mullins 836 498 224 108 87 21 965
Caixi Zhang 894 1.1× 593 1.2× 290 1.3× 137 1.3× 66 0.8× 55 1.1k
Sabine Guillaumie 780 0.9× 569 1.1× 312 1.4× 74 0.7× 22 0.3× 28 1.1k
François Barrieu 679 0.8× 759 1.5× 186 0.8× 158 1.5× 32 0.4× 13 995
Tariq Pervaiz 970 1.2× 609 1.2× 131 0.6× 106 1.0× 61 0.7× 49 1.2k
Fred Y Peng 790 0.9× 831 1.7× 226 1.0× 43 0.4× 37 0.4× 15 1.2k
Artur Conde 937 1.1× 328 0.7× 234 1.0× 79 0.7× 44 0.5× 23 1.1k
R. van Heeswijck 807 1.0× 327 0.7× 468 2.1× 105 1.0× 114 1.3× 22 1.0k
Rita de Brito Francisco 755 0.9× 598 1.2× 116 0.5× 92 0.9× 70 0.8× 22 1.0k
Jianfu Jiang 633 0.8× 422 0.8× 245 1.1× 86 0.8× 29 0.3× 48 847
Elisabetta Nicolosi 806 1.0× 328 0.7× 193 0.9× 92 0.9× 81 0.9× 46 993

Countries citing papers authored by Michael G. Mullins

Since Specialization
Citations

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

Fields of papers citing papers by Michael G. Mullins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael G. Mullins. 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 Michael G. Mullins. The network helps show where Michael G. Mullins may publish in the future.

Co-authorship network of co-authors of Michael G. Mullins

This figure shows the co-authorship network connecting the top 25 collaborators of Michael G. Mullins. A scholar is included among the top collaborators of Michael G. Mullins 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 Michael G. Mullins. Michael G. Mullins 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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