Roderick Docking

3.2k total citations
26 papers, 837 citations indexed

About

Roderick Docking is a scholar working on Molecular Biology, Hematology and Ecology. According to data from OpenAlex, Roderick Docking has authored 26 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 9 papers in Hematology and 5 papers in Ecology. Recurrent topics in Roderick Docking's work include Acute Myeloid Leukemia Research (7 papers), Forest Insect Ecology and Management (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Roderick Docking is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Forest Insect Ecology and Management (5 papers) and Multiple Myeloma Research and Treatments (4 papers). Roderick Docking collaborates with scholars based in Canada, United States and Sweden. Roderick Docking's co-authors include İnanç Birol, Steven J.M. Jones, Nancy Liao, Simon K. Chan, Aly Karsan, Shaun D. Jackman, Christopher I. Keeling, Maria Li, Hannah Henderson and Macaire M. S. Yuen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Nature Cell Biology.

In The Last Decade

Roderick Docking

25 papers receiving 824 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roderick Docking Canada 15 460 292 234 160 147 26 837
Julie C. Silver Canada 18 528 1.1× 240 0.8× 123 0.5× 189 1.2× 77 0.5× 39 835
Muhammad Nadeem Abbas China 19 441 1.0× 183 0.6× 79 0.3× 74 0.5× 126 0.9× 58 872
Pawan Pandoh Canada 11 396 0.9× 155 0.5× 117 0.5× 90 0.6× 137 0.9× 23 584
Jae‐Kyoung Shim South Korea 17 243 0.5× 364 1.2× 75 0.3× 334 2.1× 77 0.5× 43 677
Céline Lopez‐Roques France 19 753 1.6× 59 0.2× 83 0.4× 325 2.0× 300 2.0× 48 1.3k
Yaron S.N. Butterfield Canada 13 443 1.0× 102 0.3× 105 0.4× 224 1.4× 102 0.7× 17 733
Marcelo Mendes Brandão Brazil 15 327 0.7× 127 0.4× 45 0.2× 231 1.4× 47 0.3× 31 603
Marco Mangone United States 13 1.1k 2.5× 48 0.2× 93 0.4× 282 1.8× 248 1.7× 21 1.4k
Nikolaus A. Spoerel United States 13 736 1.6× 88 0.3× 102 0.4× 128 0.8× 290 2.0× 18 938
Deborah Hailstones Australia 16 477 1.0× 151 0.5× 76 0.3× 387 2.4× 30 0.2× 25 1.0k

Countries citing papers authored by Roderick Docking

Since Specialization
Citations

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

Fields of papers citing papers by Roderick Docking

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roderick Docking

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

All Works

20 of 20 papers shown
1.
Roudi, Raheleh, Roderick Docking, Sukeshi Patel Arora, et al.. (2023). Integrating DNA methylation and gene expression data in a single gene network using the iNETgrate package. Scientific Reports. 13(1). 21721–21721. 2 indexed citations
2.
Docking, Roderick, et al.. (2021). Assessing Limit of Detection in Clinical Sequencing. Journal of Molecular Diagnostics. 23(4). 455–466. 4 indexed citations
3.
Docking, Roderick, et al.. (2021). DNA methylation analysis improves the prognostication of acute myeloid leukemia. SHILAP Revista de lepidopterología. 2(2). 211–218. 5 indexed citations
4.
Docking, Roderick. (2021). rdocking/amlpmpsupport: AML PMP RNA-Seq Manuscript Version. Zenodo (CERN European Organization for Nuclear Research).
5.
Węgrzyn, Joanna, Kieran O’Neill, David J. H. F. Knapp, et al.. (2020). Altered microRNA expression links IL6 and TNF-induced inflammaging with myeloid malignancy in humans and mice. Blood. 135(25). 2235–2251. 41 indexed citations
6.
Martínez-Høyer, Sergio, Yu Deng, Jeremy Parker, et al.. (2020). Loss of lenalidomide-induced megakaryocytic differentiation leads to therapy resistance in del(5q) myelodysplastic syndrome. Nature Cell Biology. 22(5). 526–533. 31 indexed citations
7.
Docking, Roderick & Aly Karsan. (2019). Genomic testing in myeloid malignancy. International Journal of Laboratory Hematology. 41(S1). 117–125. 6 indexed citations
8.
Parker, Jeremy, Roderick Docking, Megan Fuller, et al.. (2019). Fixation Effects on Variant Calling in a Clinical Resequencing Panel. Journal of Molecular Diagnostics. 21(4). 705–717. 4 indexed citations
9.
Moore, Richard A., Thomas Zeng, Roderick Docking, et al.. (2019). Sample Tracking Using Unique Sequence Controls. Journal of Molecular Diagnostics. 22(2). 141–146. 5 indexed citations
10.
Foroushani, Amir, Roderick Docking, Linda Chang, et al.. (2018). Applications of Bayesian network models in predicting types of hematological malignancies. Scientific Reports. 8(1). 6951–6951. 48 indexed citations
11.
Norddahl, Gudmundur L., Tobias Maetzig, Patricia M. Rosten, et al.. (2017). Meis2 as a critical player in MN1-induced leukemia. Blood Cancer Journal. 7(9). e613–e613. 15 indexed citations
12.
13.
14.
Bosdet, Ian, Roderick Docking, Yaron S.N. Butterfield, et al.. (2013). A Clinically Validated Diagnostic Second-Generation Sequencing Assay for Detection of Hereditary BRCA1 and BRCA2 Mutations. Journal of Molecular Diagnostics. 15(6). 796–809. 24 indexed citations
15.
Keeling, Christopher I., Macaire M. S. Yuen, Nancy Liao, et al.. (2013). Draft genome of the mountain pine beetle, Dendroctonus ponderosae Hopkins, a major forest pest. Genome biology. 14(3). R27–R27. 224 indexed citations
16.
Haridas, Sajeet, Ye Wang, Lynette Lim, et al.. (2013). The genome and transcriptome of the pine saprophyte Ophiostoma piceae, and a comparison with the bark beetle-associated pine pathogen Grosmannia clavigera. BMC Genomics. 14(1). 373–373. 55 indexed citations
17.
Keeling, Christopher I., Hannah Henderson, Maria Li, et al.. (2012). Transcriptome and full-length cDNA resources for the mountain pine beetle, Dendroctonus ponderosae Hopkins, a major insect pest of pine forests. Insect Biochemistry and Molecular Biology. 42(8). 525–536. 80 indexed citations
18.
Hesse, Uljana, Scott DiGuistini, Christopher I. Keeling, et al.. (2010). Gene discovery for the bark beetle-vectored fungal tree pathogen Grosmannia clavigera. BMC Genomics. 11(1). 536–536. 22 indexed citations
19.
DiGuistini, Scott, Nancy Liao, Darren Platt, et al.. (2009). De novo genome sequence assembly of a filamentous fungus using Sanger, 454 and Illumina sequence data. Genome biology. 10(9). R94–R94. 115 indexed citations
20.
Docking, Roderick, et al.. (2006). Retrotransposon Sequence Variation in Four Asexual Plant Species. Journal of Molecular Evolution. 62(4). 375–387. 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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