Mark F. Rogers

2.6k total citations · 1 hit paper
33 papers, 1.5k citations indexed

About

Mark F. Rogers is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Mark F. Rogers has authored 33 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 10 papers in Genetics and 5 papers in Cancer Research. Recurrent topics in Mark F. Rogers's work include Genomics and Phylogenetic Studies (9 papers), Genomics and Rare Diseases (8 papers) and RNA Research and Splicing (8 papers). Mark F. Rogers is often cited by papers focused on Genomics and Phylogenetic Studies (9 papers), Genomics and Rare Diseases (8 papers) and RNA Research and Splicing (8 papers). Mark F. Rogers collaborates with scholars based in United Kingdom, United States and Malaysia. Mark F. Rogers's co-authors include Tom R. Gaunt, Colin Campbell, Hashem A. Shihab, D.N. Cooper, Matthew Mort, Asa Ben‐Hur, Anireddy S. N. Reddy, Julian Gough, Ian N.M. Day and Julie A. Thomas and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and PLoS ONE.

In The Last Decade

Mark F. Rogers

33 papers receiving 1.5k citations

Hit Papers

An integrative approach to predicting the functional effe... 2015 2026 2018 2022 2015 100 200 300 400

Peers

Mark F. Rogers
Alistair T. Pagnamenta United Kingdom
Arthur Ko United States
Sung Chun United States
Joseph G. Vockley United States
Sebastian M. Waszak United States
Joshua Burdick United States
Irina R. Tikhonova United States
Peggy D. Robertson United States
Alistair T. Pagnamenta United Kingdom
Mark F. Rogers
Citations per year, relative to Mark F. Rogers Mark F. Rogers (= 1×) peers Alistair T. Pagnamenta

Countries citing papers authored by Mark F. Rogers

Since Specialization
Citations

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

Fields of papers citing papers by Mark F. Rogers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark F. Rogers

This figure shows the co-authorship network connecting the top 25 collaborators of Mark F. Rogers. A scholar is included among the top collaborators of Mark F. Rogers 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 F. Rogers. Mark F. Rogers 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.
Birnie, Matthew T., Yvonne M. Kershaw, Audrys G. Pauža, et al.. (2021). Corticosterone pattern-dependent glucocorticoid receptor binding and transcriptional regulation within the liver. PLoS Genetics. 17(8). e1009737–e1009737. 16 indexed citations
2.
Gallegos, Jenna, et al.. (2020). Rapid, robust plasmid verification by de novo assembly of short sequencing reads. Nucleic Acids Research. 48(18). e106–e106. 10 indexed citations
3.
Phillips, Tom J., Ying Sze, Alessio Alfieri, et al.. (2020). Maternal antioxidant treatment prevents the adverse effects of prenatal stress on the offspring's brain and behavior. Neurobiology of Stress. 13. 100281–100281. 28 indexed citations
4.
Rogers, Mark F., Tom R. Gaunt, & Colin Campbell. (2020). Prediction of driver variants in the cancer genome via machine learning methodologies. Briefings in Bioinformatics. 22(4). 13 indexed citations
5.
Rogers, Mark F., Tom R. Gaunt, & Colin Campbell. (2020). CScape-somatic: distinguishing driver and passenger point mutations in the cancer genome. Bioinformatics. 36(12). 3637–3644. 23 indexed citations
6.
Gallegos, Jenna, Neil Adames, Mark F. Rogers, et al.. (2020). Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants. npj Systems Biology and Applications. 6(1). 11–11. 6 indexed citations
7.
Rogers, Mark F., et al.. (2019). Estimating the Frequency of Single Point Driver Mutations across Common Solid Tumours. Scientific Reports. 9(1). 13452–13452. 7 indexed citations
8.
Romanova, Elena V., Kok‐Gan Chan, Kar‐Wai Hong, et al.. (2019). Seasonal adaptations of the hypothalamo-neurohypophyseal system of the dromedary camel. PLoS ONE. 14(6). e0216679–e0216679. 13 indexed citations
9.
Phillips, Tom J., et al.. (2018). Preeclamptic placentae release factors that damage neurons: implications for foetal programming of disease. PubMed. 2(4). NS20180139–NS20180139. 15 indexed citations
10.
Shihab, Hashem A., et al.. (2017). GTB – an online genome tolerance browser. BMC Bioinformatics. 18(1). 20–20. 4 indexed citations
11.
Rogers, Mark F., et al.. (2017). Recognition memory-induced gene expression in the perirhinal cortex: A transcriptomic analysis. Behavioural Brain Research. 328. 1–12. 6 indexed citations
12.
Rogers, Mark F., Hashem A. Shihab, Matthew Mort, et al.. (2017). An integrative approach to predicting the functional effects of small indels in non-coding regions of the human genome. BMC Bioinformatics. 18(1). 442–442. 27 indexed citations
13.
Hindmarch, Charles C.T., Mark F. Rogers, Colin Campbell, et al.. (2016). RNA sequencing analysis of human podocytes reveals glucocorticoid regulated gene networks targeting non-immune pathways. Scientific Reports. 6(1). 35671–35671. 26 indexed citations
14.
Rivers, Caroline, Jalilah Idris, Helen L. Scott, et al.. (2015). iCLIP identifies novel roles for SAFB1 in regulating RNA processing and neuronal function. BMC Biology. 13(1). 111–111. 22 indexed citations
15.
Reddy, Anireddy S. N., Mark F. Rogers, Dale N. Richardson, Michael Hamilton, & Asa Ben‐Hur. (2012). Deciphering the Plant Splicing Code: Experimental and Computational Approaches for Predicting Alternative Splicing and Splicing Regulatory Elements. Frontiers in Plant Science. 3. 18–18. 70 indexed citations
16.
Rogers, Mark F., Julie A. Thomas, Anireddy S. N. Reddy, & Asa Ben‐Hur. (2012). SpliceGrapher: detecting patterns of alternative splicing from RNA-Seq data in the context of gene models and EST data. Genome biology. 13(1). R4–R4. 104 indexed citations
17.
Frenkel‐Morgenstern, Milana, Alessandro Gorohovski, Vincent Lacroix, et al.. (2012). ChiTaRS: a database of human, mouse and fruit fly chimeric transcripts and RNA-sequencing data. Nucleic Acids Research. 41(D1). D142–D151. 46 indexed citations
18.
Richardson, Dale N., Mark F. Rogers, Adam Labadorf, et al.. (2011). Comparative Analysis of Serine/Arginine-Rich Proteins across 27 Eukaryotes: Insights into Sub-Family Classification and Extent of Alternative Splicing. PLoS ONE. 6(9). e24542–e24542. 59 indexed citations
19.
Labadorf, Adam, et al.. (2010). Genome-wide analysis of alternative splicing in Chlamydomonas reinhardtii. BMC Genomics. 11(1). 114–114. 68 indexed citations
20.
Rogers, Mark F., Adele E. Howe, & Darrell Whitley. (2006). Looking for shortcuts: infeasible search analysis for oversubscribed scheduling problems. International Conference on Automated Planning and Scheduling. 33 Suppl 3. 314–323. 4 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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