M. V. Laycock

46 total papers · 1.7k total citations
42 papers, 1.3k citations indexed

About

M. V. Laycock is a scholar working on Environmental Chemistry, Molecular Biology and Oceanography. According to data from OpenAlex, M. V. Laycock has authored 42 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Environmental Chemistry, 18 papers in Molecular Biology and 6 papers in Oceanography. Recurrent topics in M. V. Laycock's work include Marine Toxins and Detection Methods (20 papers), Environmental Chemistry and Analysis (6 papers) and Algal biology and biofuel production (6 papers). M. V. Laycock is often cited by papers focused on Marine Toxins and Detection Methods (20 papers), Environmental Chemistry and Analysis (6 papers) and Algal biology and biofuel production (6 papers). M. V. Laycock collaborates with scholars based in Canada, United Kingdom and United States. M. V. Laycock's co-authors include Pierre Thibault, Jeffrey L. C. Wright, John A. Walter, Stephen W. Ayer, Stephen Pleasance, Michael A. Quilliam, Arlan Silva Freitas, D. Boulter, J. S. Craigie and David A. Thurman and has published in prestigious journals such as Nature, Journal of Agricultural and Food Chemistry and Biochemical Journal.

In The Last Decade

M. V. Laycock

42 papers receiving 1.2k citations

Author Peers

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

Author						Papers	Cites
M. V. Laycock	700	570	288	160	146	42	1.3k
Ian W. Burton	584 0.8×	747 1.3×	211 0.7×	178 1.1×	163 1.1×	47	1.5k
Natalia Vilariño	1.3k 1.8×	936 1.6×	264 0.9×	160 1.0×	172 1.2×	78	1.9k
María García‐Altares	275 0.4×	479 0.8×	152 0.5×	211 1.3×	114 0.8×	45	1.1k
Steven M. Plakas	762 1.1×	550 1.0×	189 0.7×	138 0.9×	145 1.0×	57	1.8k
Christine Herrenknecht	630 0.9×	426 0.7×	334 1.2×	178 1.1×	99 0.7×	62	1.7k
Tore Aune	1.2k 1.7×	668 1.2×	390 1.4×	85 0.5×	243 1.7×	64	1.7k
Ana Gago-Martı́nez	1.2k 1.7×	485 0.9×	427 1.5×	164 1.0×	216 1.5×	75	1.6k
Pablo de la Iglesia	993 1.4×	526 0.9×	378 1.3×	122 0.8×	161 1.1×	53	1.3k
P. G. Sim	988 1.4×	547 1.0×	447 1.6×	260 1.6×	237 1.6×	40	1.6k
Dawie P. Botes	627 0.9×	909 1.6×	329 1.1×	50 0.3×	134 0.9×	48	1.8k

Countries citing papers authored by M. V. Laycock

Since Specialization

Citations

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

Fields of papers citing papers by M. V. Laycock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. V. Laycock. 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 M. V. Laycock. The network helps show where M. V. Laycock may publish in the future.

Co-authorship network of co-authors of M. V. Laycock

This figure shows the co-authorship network connecting the top 25 collaborators of M. V. Laycock. A scholar is included among the top collaborators of M. V. Laycock 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 M. V. Laycock. M. V. Laycock 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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