Gerald L. Arthur

504 total citations
12 papers, 359 citations indexed

About

Gerald L. Arthur is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Gerald L. Arthur has authored 12 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Epidemiology. Recurrent topics in Gerald L. Arthur's work include Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (7 papers) and RNA modifications and cancer (3 papers). Gerald L. Arthur is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Cancer-related gene regulation (7 papers) and RNA modifications and cancer (3 papers). Gerald L. Arthur collaborates with scholars based in United States, Belgium and Slovakia. Gerald L. Arthur's co-authors include Kristen H. Taylor, J. Wade Davis, Charles W. Caldwell, Huidong Shi, Ozy Sjahputera, Farah Rahmatpanah, Deiter J. Duff, Lynda Bennett, Nathan Johnson and Stephanie McKay and has published in prestigious journals such as Cancer Research, Genes Chromosomes and Cancer and Epigenetics.

In The Last Decade

Gerald L. Arthur

12 papers receiving 355 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gerald L. Arthur United States 10 272 59 54 51 46 12 359
Deiter J. Duff United States 6 369 1.4× 58 1.0× 83 1.5× 64 1.3× 33 0.7× 13 440
Leticia Fröhlich Archangelo Brazil 10 251 0.9× 20 0.3× 32 0.6× 54 1.1× 40 0.9× 18 318
James B. Studd United Kingdom 7 256 0.9× 40 0.7× 77 1.4× 32 0.6× 22 0.5× 9 362
Koji Kato Japan 8 161 0.6× 42 0.7× 93 1.7× 75 1.5× 35 0.8× 16 346
Alvin Soon Tiong Lim Singapore 9 94 0.3× 51 0.9× 39 0.7× 89 1.7× 30 0.7× 20 270
Manon Ouimet Canada 11 198 0.7× 65 1.1× 127 2.4× 54 1.1× 16 0.3× 16 309
Rika Kanezaki Japan 11 198 0.7× 69 1.2× 40 0.7× 48 0.9× 29 0.6× 19 387
Andreas Schönegger Austria 4 432 1.6× 62 1.1× 128 2.4× 71 1.4× 75 1.6× 5 537
Michael Rusch United States 10 301 1.1× 36 0.6× 89 1.6× 37 0.7× 17 0.4× 14 376
E. L. Woodward Sweden 8 113 0.4× 42 0.7× 33 0.6× 27 0.5× 20 0.4× 14 225

Countries citing papers authored by Gerald L. Arthur

Since Specialization
Citations

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

Fields of papers citing papers by Gerald L. Arthur

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gerald L. Arthur. 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 Gerald L. Arthur. The network helps show where Gerald L. Arthur may publish in the future.

Co-authorship network of co-authors of Gerald L. Arthur

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

All Works

12 of 12 papers shown
1.
2.
Johnson, Nathan, et al.. (2015). Integrated methylome and transcriptome analysis reveals novel regulatory elements in pediatric acute lymphoblastic leukemia. Epigenetics. 10(9). 882–890. 48 indexed citations
3.
Smith, Emily H., Stephanie McKay, Huidong Shi, et al.. (2015). The expression of RUNDC3B is associated with promoter methylation in lymphoid malignancies. Hematological Oncology. 35(1). 25–33. 11 indexed citations
4.
Arthur, Gerald L., et al.. (2015). Risk of Osteosarcoma in Dogs After Open Fracture Fixation. Veterinary Surgery. 45(1). 30–35. 12 indexed citations
5.
Schnabel, Robert D., et al.. (2014). Genome-wide DNA methylation analysis in precursor B-cells. Epigenetics. 9(12). 1588–1595. 20 indexed citations
6.
Popescu, Mihail, et al.. (2013). Automated extraction of precise protein expression patterns in lymphoma by text mining abstracts of immunohistochemical studies. Journal of Pathology Informatics. 4(1). 20–20. 4 indexed citations
7.
Bennett, Lynda, et al.. (2010). Epigenetic Regulation Of Wnt Signaling In Chronic Lymphocytic Leukemia. Epigenomics. 2(1). 53–70. 20 indexed citations
9.
Bryan, Jeffrey N., Linda M. Berent, Gerald L. Arthur, et al.. (2009). Hypermethylation of the DLC1 CpG island does not alter gene expression in canine lymphoma. BMC Genetics. 10(1). 73–73. 20 indexed citations
10.
Bennett, Lynda, Kristen H. Taylor, Juyuan Guo, et al.. (2009). DNA hypermethylation accompanied by transcriptional repression in follicular lymphoma. Genes Chromosomes and Cancer. 48(9). 828–841. 51 indexed citations
11.
Rahmatpanah, Farahnaz, Ozy Sjahputera, Kristen H. Taylor, et al.. (2009). Large-Scale Analysis of DNA Methylation In Chronic Lymphocytic Leukemia. Epigenomics. 1(1). 39–61. 45 indexed citations
12.
Taylor, Kristen H., J. Wade Davis, Gerald L. Arthur, et al.. (2007). Large-Scale CpG Methylation Analysis Identifies Novel Candidate Genes and Reveals Methylation Hotspots in Acute Lymphoblastic Leukemia. Cancer Research. 67(6). 2617–2625. 109 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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