Matthew D. Johnson

57 total papers · 1.1k total citations
30 papers, 726 citations indexed

About

Matthew D. Johnson is a scholar working on Molecular Biology, Genetics and Pharmacology. According to data from OpenAlex, Matthew D. Johnson has authored 30 papers receiving a total of 726 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Genetics and 7 papers in Pharmacology. Recurrent topics in Matthew D. Johnson's work include Bacterial Genetics and Biotechnology (8 papers), Antibiotic Resistance in Bacteria (7 papers) and RNA and protein synthesis mechanisms (5 papers). Matthew D. Johnson is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Antibiotic Resistance in Bacteria (7 papers) and RNA and protein synthesis mechanisms (5 papers). Matthew D. Johnson collaborates with scholars based in United States, Australia and United Kingdom. Matthew D. Johnson's co-authors include Peter A. Lund, Philipp Antczak, Ian R. Henderson, Jian Li, Neil A. Burton, John D. Boyce, Roger L. Nation, Tony Velkov, Ashley Robinson and D J Luchins and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Matthew D. Johnson

29 papers receiving 719 citations

Author Peers

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

Author Last Decade Papers Cites
Matthew D. Johnson 307 232 222 163 106 30 726
Wenwen Huo 376 1.2× 79 0.3× 135 0.6× 92 0.6× 51 0.5× 39 803
Kar‐Wai Hong 434 1.4× 141 0.6× 75 0.3× 98 0.6× 39 0.4× 41 749
Olivier Cunrath 454 1.5× 212 0.9× 193 0.9× 81 0.5× 40 0.4× 18 819
Rongsui Gao 209 0.7× 111 0.5× 353 1.6× 131 0.8× 111 1.0× 15 648
Gerrit Brandis 330 1.1× 307 1.3× 305 1.4× 65 0.4× 57 0.5× 32 793
Seong Yeol Choi 216 0.7× 40 0.2× 64 0.3× 101 0.6× 91 0.9× 32 680
Ashley T. Tucker 382 1.2× 89 0.4× 275 1.2× 161 1.0× 50 0.5× 18 666
Karl M. Thompson 489 1.6× 296 1.3× 39 0.2× 68 0.4× 31 0.3× 17 655
L. G. Silvestri 310 1.0× 107 0.5× 45 0.2× 30 0.2× 71 0.7× 28 631
Yichen Ding 452 1.5× 94 0.4× 218 1.0× 145 0.9× 95 0.9× 33 793

Countries citing papers authored by Matthew D. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Matthew D. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew D. Johnson. 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 Matthew D. Johnson. The network helps show where Matthew D. Johnson may publish in the future.

Co-authorship network of co-authors of Matthew D. Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew D. Johnson. A scholar is included among the top collaborators of Matthew D. Johnson 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 Matthew D. Johnson. Matthew D. Johnson 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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