Robert J. Weeks

2.5k total citations
61 papers, 1.7k citations indexed

About

Robert J. Weeks is a scholar working on Molecular Biology, Epidemiology and Plant Science. According to data from OpenAlex, Robert J. Weeks has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 24 papers in Epidemiology and 14 papers in Plant Science. Recurrent topics in Robert J. Weeks's work include Epigenetics and DNA Methylation (23 papers), Fungal Infections and Studies (21 papers) and Phytoplasmas and Hemiptera pathogens (9 papers). Robert J. Weeks is often cited by papers focused on Epigenetics and DNA Methylation (23 papers), Fungal Infections and Studies (21 papers) and Phytoplasmas and Hemiptera pathogens (9 papers). Robert J. Weeks collaborates with scholars based in New Zealand, United States and United Kingdom. Robert J. Weeks's co-authors include Aniruddha Chatterjee, Ian M. Morison, Jim Smith, Michael R. Eccles, Leo Kaufman, Swapnoleena Sen, Fred E. Tosh, Bruce S. Klein, Basil Varkey and Jeffrey P. Davis and has published in prestigious journals such as New England Journal of Medicine, Nature Genetics and SHILAP Revista de lepidopterología.

In The Last Decade

Robert J. Weeks

59 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert J. Weeks New Zealand 22 857 586 357 235 186 61 1.7k
Hiroshi Uezato Japan 28 430 0.5× 826 1.4× 198 0.6× 148 0.6× 54 0.3× 103 2.2k
Will Bloch United States 14 1.0k 1.2× 242 0.4× 174 0.5× 136 0.6× 79 0.4× 18 1.9k
Rachel Ehrlich Israel 24 544 0.6× 290 0.5× 157 0.4× 164 0.7× 73 0.4× 68 1.6k
Takeshi Satoh Japan 29 988 1.2× 515 0.9× 317 0.9× 63 0.3× 93 0.5× 58 2.9k
Wolfgang Seifarth Germany 27 1.2k 1.4× 546 0.9× 543 1.5× 291 1.2× 80 0.4× 74 2.5k
Karen J. Mackenzie United Kingdom 13 974 1.1× 234 0.4× 287 0.8× 103 0.4× 171 0.9× 15 1.9k
William H. Wheat United States 23 871 1.0× 377 0.6× 328 0.9× 78 0.3× 105 0.6× 50 2.3k
David J. Askew United States 19 416 0.5× 238 0.4× 185 0.5× 120 0.5× 249 1.3× 27 1.9k
Tatsuyuki Mimori Japan 27 564 0.7× 888 1.5× 157 0.4× 230 1.0× 56 0.3× 85 2.2k
Florence Renaud France 27 506 0.6× 257 0.4× 263 0.7× 111 0.5× 255 1.4× 70 1.9k

Countries citing papers authored by Robert J. Weeks

Since Specialization
Citations

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

Fields of papers citing papers by Robert J. Weeks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert J. Weeks

This figure shows the co-authorship network connecting the top 25 collaborators of Robert J. Weeks. A scholar is included among the top collaborators of Robert J. Weeks 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 Robert J. Weeks. Robert J. Weeks 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.
Smith, Jim, Grégory Gimenez, Euan J. Rodger, et al.. (2024). Targeted DNA Methylation Editing Using an All-in-One System Establishes Paradoxical Activation of EBF3. Cancers. 16(5). 898–898. 1 indexed citations
2.
Smith, Jim, et al.. (2022). Editing of DNA Methylation Patterns Using CRISPR-Based Tools. Methods in molecular biology. 2458. 63–74. 3 indexed citations
3.
Weeks, Robert J., Robert C. Day, Olga Kardailsky, et al.. (2020). Hairpin-bisulfite sequencing of cells exposed to decitabine documents the process of DNA demethylation. Epigenetics. 16(11). 1251–1259.
4.
Smith, Jim, Swapnoleena Sen, Robert J. Weeks, Michael R. Eccles, & Aniruddha Chatterjee. (2020). Promoter DNA Hypermethylation and Paradoxical Gene Activation. Trends in cancer. 6(5). 392–406. 165 indexed citations
5.
Weeks, Robert J., Sunali Mehta, Gail Williams, et al.. (2020). Silencing of Testin expression is a frequent event in spontaneous lymphomas from Trp53-mutant mice. Scientific Reports. 10(1). 16255–16255. 2 indexed citations
6.
Fukuzawa, Ryuji, David Markie, Richard G. Grundy, et al.. (2018). Germline mutations and somatic inactivation of TRIM28 in Wilms tumour. PLoS Genetics. 14(6). e1007399–e1007399. 34 indexed citations
7.
Sharp, Paul, et al.. (2018). DNA methylation of hepatic iron sensing genes and the regulation of hepcidin expression. PLoS ONE. 13(5). e0197863–e0197863. 16 indexed citations
8.
Gamage, Teena K. J. B., William Schierding, Daniel Hurley, et al.. (2018). The role of DNA methylation in human trophoblast differentiation. Epigenetics. 13(12). 1154–1173. 37 indexed citations
9.
Chatterjee, Aniruddha, Antonio Ahn, Peter A. Stockwell, et al.. (2017). Comparative Assessment of DNA Methylation Patterns Between Reduced Representation Bisulfite Sequencing and Sequenom Epityper Methylation Analysis. Epigenomics. 9(6). 823–832. 11 indexed citations
10.
Gamage, Teena K. J. B., et al.. (2017). Gene methylation regulates the acquisition of an invasive phenotype during extravillous trophoblast differentiation. Placenta. 57. 304–304. 1 indexed citations
11.
Weeks, Robert J., Ursula R. Kees, Sarah Song, & Ian M. Morison. (2010). Silencing of TESTIN by dense biallelic promoter methylation is the most common molecular event in childhood acute lymphoblastic leukaemia. Molecular Cancer. 9(1). 163–163. 25 indexed citations
12.
Fukuzawa, Ryuji, Matthew Anaka, Robert J. Weeks, Ian M. Morison, & Anthony E. Reeve. (2009). Canonical WNT signalling determines lineage specificity in Wilms tumour. Oncogene. 28(8). 1063–1075. 47 indexed citations
13.
Weeks, Robert J. & Ian M. Morison. (2005). Detailed methylation analysis of CpG islands on human chromosome region 9p21. Genes Chromosomes and Cancer. 45(4). 357–364. 11 indexed citations
14.
Olsburgh, Jonathon, Patricia Harnden, Robert J. Weeks, et al.. (2002). Uroplakin gene expression in normal human tissues and locally advanced bladder cancer. The Journal of Pathology. 199(1). 41–49. 103 indexed citations
15.
Waldman, Ronald J., Albert C. England, Robert V. Tauxe, et al.. (1983). A WINTER OUTBREAK OF ACUTE HISTOPLASMOSIS IN NORTHERN MICHIGAN. American Journal of Epidemiology. 117(1). 68–75. 12 indexed citations
16.
Bartlett, Paul C., Robert J. Weeks, & Libero Ajello. (1982). Decontamination of a Histoplasma capsulatum-Infested Bird Roost in Illinois. Archives of Environmental Health An International Journal. 37(4). 221–223. 14 indexed citations
17.
Gustafson, Tracy L., Leo Kaufman, Robert J. Weeks, et al.. (1981). Outbreak of acute pulmonary histoplasmosis in members of a wagon train. The American Journal of Medicine. 71(5). 759–765. 27 indexed citations
18.
Weeks, Robert J., et al.. (1969). A study of fungi found in association with Histoplasma capsulatum: three bird roosts in S.E. Missouri, U.S.A.. Mycopathologia. 38(1-2). 71–81. 10 indexed citations
19.
Tosh, Fred E., et al.. (1967). THE USE OF FORMALIN TO KILL HISTOPLASMA CAPSULATUM AT AN EPIDEMIC SITE1. American Journal of Epidemiology. 85(2). 259–265. 25 indexed citations
20.
Menges, Robert W., Michael L. Furcolow, R. T. Habermann, & Robert J. Weeks. (1967). Epidemiologic studies on histoplasmosis in wildlife. Environmental Research. 1(2). 129–144. 8 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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