Mark R. Wilkinson

5.5k total citations
17 papers, 759 citations indexed

About

Mark R. Wilkinson is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mark R. Wilkinson has authored 17 papers receiving a total of 759 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Public Health, Environmental and Occupational Health and 4 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mark R. Wilkinson's work include Pharmacogenetics and Drug Metabolism (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Epigenetics and DNA Methylation (3 papers). Mark R. Wilkinson is often cited by papers focused on Pharmacogenetics and Drug Metabolism (4 papers), Acute Lymphoblastic Leukemia research (4 papers) and Epigenetics and DNA Methylation (3 papers). Mark R. Wilkinson collaborates with scholars based in United States, United Kingdom and Netherlands. Mark R. Wilkinson's co-authors include James M. Hoffman, Mary V. Relling, William E. Evans, Wenjian Yang, Donald K. Baker, Nancy M. Kornegay, Cyrine E. Haidar, Ulrich Broeckel, Kristine R. Crews and Scott C. Howard and has published in prestigious journals such as Human Molecular Genetics, Clinical Pharmacology & Therapeutics and PLoS Computational Biology.

In The Last Decade

Mark R. Wilkinson

17 papers receiving 738 citations

Peers

Mark R. Wilkinson

PHARM

PPCH

GENET

PHEOH

Justin Wilkins United States

Milly E. de Jonge Netherlands

Brandon Swift United States

Linyong Xu China

Anthe S. Zandvliet Netherlands

Maria L. Alvarellos United States

Million A. Tegenge United States

Kourosh Parivar United States

Lisa J. Benincosa United States

Amit Khatri United States

Justin Wilkins United States

Mark R. Wilkinson

99 ×0.3

PHARM

109 ×0.4

PPCH

129 ×0.7

81 ×0.5

GENET

46 ×0.4

PHEOH

Citations per year, relative to Mark R. Wilkinson Mark R. Wilkinson (= 1×) peers Justin Wilkins

Countries citing papers authored by Mark R. Wilkinson

Since Specialization

Citations

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

Fields of papers citing papers by Mark R. Wilkinson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark R. Wilkinson

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

All Works

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17 of 17 papers shown

Ma, Jingqun, Yen‐Chun Liu, Jing Ma, et al.. (2024). Genomic and global gene expression profiling in pediatric and young adult acute leukemia with PICALM::MLLT10 Fusion. Leukemia. 38(5). 981–990. 5 indexed citations

Liu, Qiang, et al.. (2022). A Reduced Radiator Model for Simplification of ONAN Transformer CFD Simulation. IEEE Transactions on Power Delivery. 37(5). 4007–4018. 18 indexed citations

Liu, Qiang, et al.. (2022). An Improved Analytical Method for Radiator Thermal Modelling of Natural Cooled Transformers. 2022 IEEE International Conference on High Voltage Engineering and Applications (ICHVE). 1–4. 2 indexed citations

Zhang, Xiang, Qiang Liu, Zhongdong Wang, & Mark R. Wilkinson. (2021). Comparisons of transformer thermal behaviours between conventional disc type and S disc type windings. IET Generation Transmission & Distribution. 16(4). 703–714. 6 indexed citations

Zhang, Xiaotao, et al.. (2020). Effect of Thermal Conduction on Transformer Radiator CFD Modelling. 242–245. 4 indexed citations

Geris, Josie, et al.. (2018). Exploring Cosmic Ray Sensor data to evaluate large scale water storage dynamics in humid mixed landscapes. EGU General Assembly Conference Abstracts. 1063. 1 indexed citations

Paugh, Steven W., Ju Bao, Christy R. Grace, et al.. (2016). MicroRNAs Form Triplexes with Double Stranded DNA at Sequence-Specific Binding Sites; a Eukaryotic Mechanism via which microRNAs Could Directly Alter Gene Expression. PLoS Computational Biology. 12(2). e1004744–e1004744. 60 indexed citations

Hoffman, James M., Cyrine E. Haidar, Mark R. Wilkinson, et al.. (2014). PG4KDS: A model for the clinical implementation of pre‐emptive pharmacogenetics. American Journal of Medical Genetics Part C Seminars in Medical Genetics. 166(1). 45–55. 205 indexed citations

Fernandez, Christian A., Elizabeth Stewart, John C. Panetta, et al.. (2014). Successful challenges using native E. coli asparaginase after hypersensitivity reactions to PEGylated E. coli asparaginase. Cancer Chemotherapy and Pharmacology. 73(6). 1307–1313. 18 indexed citations

10.

Martin, Michael A., James M. Hoffman, Robert R. Freimuth, et al.. (2014). Clinical Pharmacogenetics Implementation Consortium Guidelines for HLA-B Genotype and Abacavir Dosing: 2014 Update. Clinical Pharmacology & Therapeutics. 95(5). 499–500. 103 indexed citations

11.

Bell, Gillian C., Kristine R. Crews, Mark R. Wilkinson, et al.. (2013). Development and use of active clinical decision support for preemptive pharmacogenomics. Journal of the American Medical Informatics Association. 21(e1). e93–e99. 159 indexed citations

12.

Hicks, J. Kevin, Kristine R. Crews, James M. Hoffman, et al.. (2012). A Clinician-Driven Automated System for Integration of Pharmacogenetic Interpretations Into an Electronic Medical Record. Clinical Pharmacology & Therapeutics. 92(5). 563–566. 77 indexed citations

13.

French, Deborah, Mark R. Wilkinson, Wenjian Yang, et al.. (2005). Global gene expression as a function of germline genetic variation. Human Molecular Genetics. 14(12). 1621–1629. 13 indexed citations

14.

Edick, Mathew J., Cheng Cheng, Wenjian Yang, et al.. (2004). Lymphoid gene expression as a predictor of risk of secondary brain tumors. Genes Chromosomes and Cancer. 42(2). 107–116. 23 indexed citations

15.

Panetta, John C., Mark N. Kirstein, Amar Gajjar, et al.. (2003). Population pharmacokinetics of temozolomide and metabolites in infants and children with primary central nervous system tumors. Cancer Chemotherapy and Pharmacology. 52(6). 435–441. 44 indexed citations

16.

Panetta, John C., Mark R. Wilkinson, Ching‐Hon Pui, & Mary V. Relling. (2002). Limited and Optimal Sampling Strategies for Etoposide and Etoposide Catechol in Children with Leukemia. Journal of Pharmacokinetics and Pharmacodynamics. 29(2). 171–188. 19 indexed citations

17.

Wilkinson, Mark R., et al.. (2002). Control surface and actuator design for a low drag, laminar flow AUV. 15. 57–64. 2 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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