Mark Byrne

15 total papers · 710 total citations
7 papers, 529 citations indexed

About

Mark Byrne is a scholar working on Molecular Biology, Endocrine and Autonomic Systems and Plant Science. According to data from OpenAlex, Mark Byrne has authored 7 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Endocrine and Autonomic Systems and 3 papers in Plant Science. Recurrent topics in Mark Byrne's work include Circadian rhythm and melatonin (4 papers), Lipid metabolism and biosynthesis (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Mark Byrne is often cited by papers focused on Circadian rhythm and melatonin (4 papers), Lipid metabolism and biosynthesis (2 papers) and Metabolomics and Mass Spectrometry Studies (2 papers). Mark Byrne collaborates with scholars based in United States and Japan. Mark Byrne's co-authors include Pavlina T. Ivanova, H. Alex Brown, Tetsuya Mori, Carl Hirschie Johnson, Stephen Milne, Ximing Qin, Yun Xiang, Dewight Williams, Hassane S. Mchaourab and Lawrence J. Marnett and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Biochemistry.

In The Last Decade

Mark Byrne

7 papers receiving 524 citations

Author Peers

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

Author						Papers	Cites
Mark Byrne	373	155	130	117	76	7	529
Andreas H. Ludewig	169 0.5×	176 1.1×	112 0.9×	25 0.2×	34 0.4×	13	569
Oliver Kleiner	322 0.9×	25 0.2×	172 1.3×	68 0.6×	12 0.2×	15	512
Yong-Hyeon Yim	168 0.5×	149 1.0×	50 0.4×	28 0.2×	50 0.7×	8	482
Keith T. LePage	262 0.7×	33 0.2×	47 0.4×	117 1.0×	10 0.1×	17	612
Joshua C. Judkins	299 0.8×	102 0.7×	77 0.6×	13 0.1×	29 0.4×	11	602
Yong-Sheng Cheng	328 0.9×	49 0.3×	224 1.7×	18 0.2×	12 0.2×	10	560
Cláudio S. Shida	224 0.6×	82 0.5×	35 0.3×	81 0.7×	11 0.1×	20	501
Venkata Mallampalli	410 1.1×	70 0.5×	60 0.5×	20 0.2×	11 0.1×	12	594
Anne N. Roberts	298 0.8×	25 0.2×	77 0.6×	52 0.4×	12 0.2×	9	485
Zuzana Demianová	265 0.7×	34 0.2×	75 0.6×	45 0.4×	22 0.3×	18	526

Countries citing papers authored by Mark Byrne

Since Specialization

Citations

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

Fields of papers citing papers by Mark Byrne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Byrne. 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 Mark Byrne. The network helps show where Mark Byrne may publish in the future.

Co-authorship network of co-authors of Mark Byrne

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Byrne. A scholar is included among the top collaborators of Mark Byrne 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 Mark Byrne. Mark Byrne 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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