Brian J. Parker

4.4k total citations · 1 hit paper
49 papers, 2.0k citations indexed

About

Brian J. Parker is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Brian J. Parker has authored 49 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Cancer Research and 7 papers in Surgery. Recurrent topics in Brian J. Parker's work include RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers) and Medical Imaging Techniques and Applications (7 papers). Brian J. Parker is often cited by papers focused on RNA Research and Splicing (11 papers), RNA modifications and cancer (10 papers) and Medical Imaging Techniques and Applications (7 papers). Brian J. Parker collaborates with scholars based in Australia, United States and Denmark. Brian J. Parker's co-authors include Thomas Preiß, Tennille Sibbritt, Hardip R. Patel, David T. Humphreys, Marco Nousch, Catherine M. Suter, Jeffrey E. Squires, Jiayu Wen, A. Monticelli and M.V.F. Pereira and has published in prestigious journals such as Nucleic Acids Research, Immunity and PLoS ONE.

In The Last Decade

Brian J. Parker

47 papers receiving 2.0k citations

Hit Papers

Widespread occurrence of 5-methylcytosine in human coding... 2012 2026 2016 2021 2012 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Widespread occurrence of 5-methylcytosine in human coding and non-coding RNA
    2012 765 citations Jeffrey E. Squires, Hardip R. Patel et al. Nucleic Acids Research profile →

Peers

Brian J. Parker
Xiaofeng Song China
Pan Zeng China
Yucheng Yang China
Yong Mao China
Qiang Kang China
Liyu Liu Taiwan
Fei He China
Xiangkun Wang China
Xiaofeng Song China
Brian J. Parker
Citations per year, relative to Brian J. Parker Brian J. Parker (= 1×) peers Xiaofeng Song

Countries citing papers authored by Brian J. Parker

Since Specialization
Citations

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

Fields of papers citing papers by Brian J. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian J. Parker. 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 Brian J. Parker. The network helps show where Brian J. Parker may publish in the future.

Co-authorship network of co-authors of Brian J. Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Brian J. Parker. A scholar is included among the top collaborators of Brian J. Parker 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 Brian J. Parker. Brian J. Parker 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.
Sutton, Henry J., Xin Gao, Hannah G. Kelly, et al.. (2024). Lack of affinity signature for germinal center cells that have initiated plasma cell differentiation. Immunity. 57(2). 245–255.e5. 10 indexed citations
2.
Ding, Ke, et al.. (2023). CRMnet: A deep learning model for predicting gene expression from large regulatory sequence datasets. Frontiers in Big Data. 6. 1113402–1113402. 9 indexed citations
3.
Parker, Brian J., et al.. (2021). Identification of Alternative Splicing and Polyadenylation in RNA-seq Data. Journal of Visualized Experiments. 2 indexed citations
4.
David, Rakesh, Alice Burgess, Brian J. Parker, et al.. (2017). Transcriptome-Wide Mapping of RNA 5-Methylcytosine in Arabidopsis mRNAs and Noncoding RNAs. The Plant Cell. 29(3). 445–460. 181 indexed citations
5.
Soboleva, Tatiana, Brian J. Parker, Maxim Nekrasov, et al.. (2017). A new link between transcriptional initiation and pre-mRNA splicing: The RNA binding histone variant H2A.B. PLoS Genetics. 13(2). e1006633–e1006633. 43 indexed citations
6.
Parker, Brian J.. (2017). Statistical Methods for Transcriptome-Wide Analysis of RNA Methylation by Bisulfite Sequencing. Methods in molecular biology. 1562. 155–167. 4 indexed citations
7.
Yachoui, Ralph, et al.. (2017). Treatment-Refractory Sternocostoclavicular Hyperostosis. Clinical Medicine & Research. 15(1-2). 37–40. 4 indexed citations
8.
Patel, Hardip R., David T. Humphreys, M. Evers, et al.. (2016). Role of miRNAs and alternative mRNA 3′-end cleavage and polyadenylation of their mRNA targets in cardiomyocyte hypertrophy. Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms. 1859(5). 744–756. 18 indexed citations
9.
Yachoui, Ralph, et al.. (2015). Bone and bone marrow involvement in sarcoidosis. Rheumatology International. 35(11). 1917–1924. 18 indexed citations
10.
Paz-Filho, Gilberto, Claudio A. Mastronardi, Brian J. Parker, et al.. (2013). Molecular pathways involved in the improvement of non-alcoholic fatty liver disease. Journal of Molecular Endocrinology. 51(1). 167–179. 13 indexed citations
11.
Nekrasov, Maxim, Brian J. Parker, Tatiana Soboleva, et al.. (2012). Histone H2A.Z inheritance during the cell cycle and its impact on promoter organization and dynamics. Nature Structural & Molecular Biology. 19(11). 1076–1083. 93 indexed citations
12.
Squires, Jeffrey E., Hardip R. Patel, Marco Nousch, et al.. (2012). Widespread occurrence of 5-methylcytosine in human coding and non-coding RNA. Nucleic Acids Research. 40(11). 5023–5033. 765 indexed citations breakdown →
13.
Parker, Brian J., Ida Moltke, Adam Roth, et al.. (2011). New families of human regulatory RNA structures identified by comparative analysis of vertebrate genomes. Genome Research. 21(11). 1929–1943. 81 indexed citations
14.
Lin, Michael F., Pouya Kheradpour, Stefan Washietl, et al.. (2011). Locating protein-coding sequences under selection for additional, overlapping functions in 29 mammalian genomes. Genome Research. 21(11). 1916–1928. 72 indexed citations
15.
Wen, Jiayu, Brian J. Parker, Anders J. Skanderup, & Anders Krogh. (2011). MicroRNA transfection and AGO-bound CLIP-seq data sets reveal distinct determinants of miRNA action. RNA. 17(5). 820–834. 58 indexed citations
16.
Chen, Yun, Mette Jørgensen, Raivo Kolde, et al.. (2011). Prediction of RNA Polymerase II recruitment, elongation and stalling from histone modification data. BMC Genomics. 12(1). 544–544. 31 indexed citations
17.
Parker, Brian J. & Jiayu Wen. (2009). Predicting microRNA targets in time-series microarray experiments via functional data analysis. BMC Bioinformatics. 10(S1). S32–S32. 13 indexed citations
18.
Wen, Jiayu, Brian J. Parker, & Georg F. Weiller. (2007). In Silico Identification and Characterization of mRNA-Like Noncoding Transcripts in Medicago truncatula. In Silico Biology. 7(4-5). 485–505. 69 indexed citations
19.
Parker, Brian J., Simon Günter, & Justin Bedő. (2007). Stratification bias in low signal microarray studies. BMC Bioinformatics. 8(1). 326–326. 55 indexed citations
20.
Parker, Brian J., et al.. (2002). Three-dimensional video segmentation using a variational method. 2. 765–768. 6 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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