Daniel Mapleson

3.8k total citations
9 papers, 897 citations indexed

About

Daniel Mapleson is a scholar working on Molecular Biology, Biomaterials and Cancer Research. According to data from OpenAlex, Daniel Mapleson has authored 9 papers receiving a total of 897 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Biomaterials and 2 papers in Cancer Research. Recurrent topics in Daniel Mapleson's work include Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). Daniel Mapleson is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), RNA and protein synthesis mechanisms (4 papers) and RNA modifications and cancer (3 papers). Daniel Mapleson collaborates with scholars based in United Kingdom, Italy and Chile. Daniel Mapleson's co-authors include George Kettleborough, Gonzalo Garcia Accinelli, Bernardo Clavijo, Jonathan Wright, David Swarbreck, Gemy Kaithakottil, Luca Venturini, Vincent Moulton, Simon Moxon and Tamás Dalmay and has published in prestigious journals such as Bioinformatics, New Phytologist and BMC Genomics.

In The Last Decade

Daniel Mapleson

9 papers receiving 890 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Mapleson United Kingdom	9	532	390	134	116	106	9	897
Andrew Schurko United States	13	389 0.7×	237 0.6×	140 1.0×	170 1.5×	28 0.3×	17	962
Jingbo Tang China	3	417 0.8×	156 0.4×	117 0.9×	119 1.0×	29 0.3×	3	685
Leslie R. Goertzen United States	17	665 1.3×	634 1.6×	92 0.7×	166 1.4×	104 1.0×	40	1.1k
Rob W. van Nues United Kingdom	17	1.2k 2.2×	154 0.4×	145 1.1×	195 1.7×	76 0.7×	26	1.4k
J. Armando Casas-Mollano United States	16	911 1.7×	467 1.2×	88 0.7×	69 0.6×	46 0.4×	19	1.3k
Peik Haugen Norway	21	824 1.5×	246 0.6×	301 2.2×	111 1.0×	22 0.2×	44	1.1k
Hangxiao Zhang China	18	608 1.1×	426 1.1×	56 0.4×	59 0.5×	104 1.0×	41	915
Jiong-Tang Li China	21	690 1.3×	248 0.6×	248 1.9×	470 4.1×	267 2.5×	64	1.5k
Hyungtaek Jung Australia	16	471 0.9×	290 0.7×	228 1.7×	163 1.4×	21 0.2×	43	967
Kristian K Ullrich Germany	19	774 1.5×	675 1.7×	98 0.7×	162 1.4×	18 0.2×	46	1.2k

Countries citing papers authored by Daniel Mapleson

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Mapleson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Mapleson

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

All Works

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9 of 9 papers shown

Mapleson, Daniel, Luca Venturini, Gemy Kaithakottil, & David Swarbreck. (2018). Efficient and accurate detection of splice junctions from RNA-seq with Portcullis. GigaScience. 7(12). 79 indexed citations

Venturini, Luca, Shabhonam Caim, Gemy Kaithakottil, Daniel Mapleson, & David Swarbreck. (2018). Leveraging multiple transcriptome assembly methods for improved gene structure annotation. GigaScience. 7(8). 106 indexed citations

Bastkowski, Sarah, Daniel Mapleson, Andreas Spillner, et al.. (2017). SPECTRE: a suite of phylogenetic tools for reticulate evolution. Bioinformatics. 34(6). 1056–1057. 9 indexed citations

Basu, Swaraj, Daniel Mapleson, Monia Teresa Russo, et al.. (2017). Finding a partner in the ocean: molecular and evolutionary bases of the response to sexual cues in a planktonic diatom. New Phytologist. 215(1). 140–156. 77 indexed citations

Mapleson, Daniel, Gonzalo Garcia Accinelli, George Kettleborough, Jonathan Wright, & Bernardo Clavijo. (2016). KAT: a K-mer analysis toolkit to quality control NGS datasets and genome assemblies. Bioinformatics. 33(4). 574–576. 308 indexed citations

Dassow, Peter von, Marie J. J. Huysman, Daniel Mapleson, et al.. (2015). Identification of the meiotic toolkit in diatoms and exploration of meiosis-specific SPO11 and RAD51 homologs in the sexual species Pseudo-nitzschia multistriata and Seminavis robusta. BMC Genomics. 16(1). 930–930. 41 indexed citations

Mapleson, Daniel, Nizar Drou, & David Swarbreck. (2015). RAMPART: a workflow management system for de novo genome assembly. Bioinformatics. 31(11). 1824–1826. 17 indexed citations

Stocks, M. B., Simon Moxon, Daniel Mapleson, et al.. (2012). The UEA sRNA workbench: a suite of tools for analysing and visualizing next generation sequencing microRNA and small RNA datasets. Bioinformatics. 28(15). 2059–2061. 244 indexed citations

Mapleson, Daniel, Simon Moxon, Tamás Dalmay, & Vincent Moulton. (2012). MirPlex: A Tool for Identifying miRNAs in High‐Throughput sRNA Datasets Without a Genome. Journal of Experimental Zoology Part B Molecular and Developmental Evolution. 320(1). 47–56. 16 indexed citations

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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