Joe Wiemels

2.2k total citations
10 papers, 871 citations indexed

About

Joe Wiemels is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Oncology. According to data from OpenAlex, Joe Wiemels has authored 10 papers receiving a total of 871 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Public Health, Environmental and Occupational Health and 2 papers in Oncology. Recurrent topics in Joe Wiemels's work include Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (2 papers) and DNA Repair Mechanisms (2 papers). Joe Wiemels is often cited by papers focused on Acute Lymphoblastic Leukemia research (4 papers), Acute Myeloid Leukemia Research (2 papers) and DNA Repair Mechanisms (2 papers). Joe Wiemels collaborates with scholars based in United States and United Kingdom. Joe Wiemels's co-authors include Mel Greaves, Margaret Wrensch, John K. Wiencke, Karl T. Kelsey, Alex McMillan, Joe Patoka, Michelle Moghadassi, Rei Miike, Gary V. Dahl and Mark Miller and has published in prestigious journals such as Nature reviews. Cancer, PEDIATRICS and Cancer Research.

In The Last Decade

Joe Wiemels

10 papers receiving 850 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joe Wiemels United States 8 361 351 232 163 152 10 871
James Dalton United States 8 646 1.8× 550 1.6× 497 2.1× 233 1.4× 111 0.7× 14 1.3k
Minenori Eguchi‐Ishimae Japan 15 281 0.8× 374 1.1× 351 1.5× 102 0.6× 84 0.6× 36 745
Agnès Chassevent France 10 381 1.1× 169 0.5× 235 1.0× 239 1.5× 147 1.0× 13 785
Mareike Rasche Germany 12 294 0.8× 328 0.9× 500 2.2× 80 0.5× 137 0.9× 27 764
Margit König Austria 19 541 1.5× 412 1.2× 667 2.9× 159 1.0× 83 0.5× 43 1.1k
Karin B. Gale United Kingdom 8 281 0.8× 385 1.1× 325 1.4× 143 0.9× 59 0.4× 9 784
SA Shurtleff United States 9 311 0.9× 292 0.8× 377 1.6× 72 0.4× 65 0.4× 9 706
Michel Zwaan Netherlands 8 263 0.7× 320 0.9× 335 1.4× 67 0.4× 102 0.7× 19 715
S Raimondi United States 11 437 1.2× 515 1.5× 707 3.0× 150 0.9× 52 0.3× 19 1.1k
Elisabeth T Korthof Netherlands 13 260 0.7× 383 1.1× 605 2.6× 194 1.2× 78 0.5× 18 1.1k

Countries citing papers authored by Joe Wiemels

Since Specialization
Citations

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

Fields of papers citing papers by Joe Wiemels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joe Wiemels. 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 Joe Wiemels. The network helps show where Joe Wiemels may publish in the future.

Co-authorship network of co-authors of Joe Wiemels

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

All Works

10 of 10 papers shown
1.
Zhong, Charlie, et al.. (2020). 0383 Outdoor Artificial Light at Night, Sleep Duration, and Sleep Quality in the California Teachers Study Cohort. SLEEP. 43(Supplement_1). A147–A147. 2 indexed citations
2.
Metayer, Catherine, Gary V. Dahl, Joe Wiemels, & Mark Miller. (2016). Childhood Leukemia: A Preventable Disease. PEDIATRICS. 138(Supplement_1). S45–S55. 48 indexed citations
3.
Wiemels, Joe. (2015). New insights into childhood leukemia etiology. European Journal of Epidemiology. 30(12). 1225–1227. 10 indexed citations
4.
Zhou, Mi, Joe Wiemels, Paige M. Bracci, et al.. (2010). Circulating Levels of the Innate and Humoral Immune Regulators CD14 and CD23 are Associated with Adult Glioma. Annals of Epidemiology. 20(9). 696–697. 2 indexed citations
5.
Christensen, Brock C., E. Andrés Houseman, John J. Godleski, et al.. (2008). Epigenetic Profiles Distinguish Pleural Mesothelioma from Normal Pleura and Predict Lung Asbestos Burden and Clinical Outcome. Cancer Research. 69(1). 227–234. 107 indexed citations
6.
Wrensch, Margaret, Alex McMillan, John K. Wiencke, et al.. (2007). Nonsynonymous Coding Single-Nucleotide Polymorphisms Spanning the Genome in Relation to Glioblastoma Survival and Age at Diagnosis. Clinical Cancer Research. 13(1). 197–205. 16 indexed citations
7.
Wrensch, Margaret, John K. Wiencke, Joe Wiemels, et al.. (2006). Serum IgE, Tumor Epidermal Growth Factor Receptor Expression, and Inherited Polymorphisms Associated with Glioma Survival. Cancer Research. 66(8). 4531–4541. 88 indexed citations
8.
Wiencke, John K., Kenneth Aldape, Alex McMillan, et al.. (2005). Molecular Features of Adult Glioma Associated with Patient Race/Ethnicity, Age, and a Polymorphism inO6-Methylguanine-DNA-Methyltransferase. Cancer Epidemiology Biomarkers & Prevention. 14(7). 1774–1783. 50 indexed citations
9.
Greaves, Mel & Joe Wiemels. (2003). Origins of chromosome translocations in childhood leukaemia. Nature reviews. Cancer. 3(9). 639–649. 476 indexed citations
10.
Wiemels, Joe & Mel Greaves. (1999). Structure and possible mechanisms of TEL-AML1 gene fusions in childhood acute lymphoblastic leukemia.. PubMed. 59(16). 4075–82. 72 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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