Beth Wilmot

8.2k total citations · 1 hit paper
70 papers, 2.0k citations indexed

About

Beth Wilmot is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Beth Wilmot has authored 70 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 20 papers in Hematology and 19 papers in Genetics. Recurrent topics in Beth Wilmot's work include Acute Myeloid Leukemia Research (14 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Attention Deficit Hyperactivity Disorder (11 papers). Beth Wilmot is often cited by papers focused on Acute Myeloid Leukemia Research (14 papers), Chronic Myeloid Leukemia Treatments (14 papers) and Attention Deficit Hyperactivity Disorder (11 papers). Beth Wilmot collaborates with scholars based in United States, United Kingdom and Australia. Beth Wilmot's co-authors include Shannon K. McWeeney, Michael A. Mooney, Daniel Bottomly, Joel T. Nigg, Jeffrey Tyner, Brian Druker, Peter Ryabinin, Marc Loriaux, Christopher A. Eide and Julia E. Maxson and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Beth Wilmot

67 papers receiving 1.9k citations

Hit Papers

OncogenicCSF3RMutations in Chronic Neutrophilic Leukemia ... 2013 2026 2017 2021 2013 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beth Wilmot United States 22 711 547 387 319 277 70 2.0k
Maria L. Escolar United States 33 917 1.3× 481 0.9× 474 1.2× 291 0.9× 239 0.9× 121 3.4k
Jen C. Wang United States 29 1.3k 1.8× 464 0.8× 502 1.3× 482 1.5× 100 0.4× 146 2.9k
Carsten Riether Switzerland 29 722 1.0× 544 1.0× 183 0.5× 111 0.3× 76 0.3× 71 2.7k
Erdogan Taskesen Netherlands 14 1.3k 1.8× 439 0.8× 176 0.5× 1.1k 3.3× 124 0.4× 20 2.8k
Diana Zélénika France 29 935 1.3× 535 1.0× 470 1.2× 627 2.0× 46 0.2× 50 3.3k
Myka L. Estes United States 16 600 0.8× 154 0.3× 105 0.3× 235 0.7× 149 0.5× 24 2.1k
Susan Moore United Kingdom 20 873 1.2× 317 0.6× 113 0.3× 716 2.2× 177 0.6× 30 2.0k
D. Goossens Belgium 25 797 1.1× 179 0.3× 105 0.3× 548 1.7× 248 0.9× 75 1.9k
Ann Nordgren Sweden 29 1.1k 1.6× 560 1.0× 194 0.5× 997 3.1× 49 0.2× 134 2.6k
Marilyn T. Miller United States 27 412 0.6× 110 0.2× 219 0.6× 770 2.4× 134 0.5× 72 2.2k

Countries citing papers authored by Beth Wilmot

Since Specialization
Citations

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

Fields of papers citing papers by Beth Wilmot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beth Wilmot

This figure shows the co-authorship network connecting the top 25 collaborators of Beth Wilmot. A scholar is included among the top collaborators of Beth Wilmot 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 Beth Wilmot. Beth Wilmot 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.
Rice, William G., Stephen B. Howell, Nasrin Rastgoo, et al.. (2022). Luxeptinib (CG-806) Targets FLT3 and Clusters of Kinases Operative in Acute Myeloid Leukemia. Molecular Cancer Therapeutics. 21(7). 1125–1135. 6 indexed citations
2.
Zhang, Haijiao, Yusuke Nakauchi, Thomas Köhnke, et al.. (2020). Integrated analysis of patient samples identifies biomarkers for venetoclax efficacy and combination strategies in acute myeloid leukemia. Nature Cancer. 1(8). 826–839. 121 indexed citations
3.
Mooney, Michael A., Priya Bhatt, Robert Hermosillo, et al.. (2020). Smaller total brain volume but not subcortical structure volume related to common genetic risk for ADHD. Psychological Medicine. 51(8). 1279–1288. 24 indexed citations
4.
Hermosillo, Robert, Michael A. Mooney, Eric Earl, et al.. (2019). Polygenic Risk Score–Derived Subcortical Connectivity Mediates Attention-Deficit/Hyperactivity Disorder Diagnosis. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 5(3). 330–341. 17 indexed citations
5.
Lie, Shervi, Erik Segerdell, Yuefang Ma, et al.. (2019). Immunological Molecular Responses of Human Retinal Pigment Epithelial Cells to Infection With Toxoplasma gondii. Frontiers in Immunology. 10. 708–708. 20 indexed citations
6.
Zhang, Haijiao, Beth Wilmot, Daniel Bottomly, et al.. (2018). Biomarkers Predicting Venetoclax Sensitivity and Strategies for Venetoclax Combination Treatment. Blood. 132(Supplement 1). 175–175. 23 indexed citations
7.
Zhang, Haijiao, Anna Reister Schultz, Kevin Watanabe‐Smith, et al.. (2017). Unpaired Extracellular Cysteine Mutations of CSF3R Mediate Gain or Loss of Function. Cancer Research. 77(16). 4258–4267. 10 indexed citations
8.
Khanna, Vishesh, Christopher A. Eide, Cristina E. Tognon, et al.. (2017). Recurrent cyclin D2 mutations in myeloid neoplasms. Leukemia. 31(9). 2005–2008. 10 indexed citations
9.
Maxson, Julia E., Melissa L. Abel, Jinhua Wang, et al.. (2016). Identification and Characterization of Tyrosine Kinase Nonreceptor 2 Mutations in Leukemia through Integration of Kinase Inhibitor Screening and Genomic Analysis. Cancer Research. 76(1). 127–138. 26 indexed citations
10.
Maxson, Julia E., Monika A. Davare, Samuel B. Luty, et al.. (2015). Therapeutically Targetable ALK Mutations in Leukemia. Cancer Research. 75(11). 2146–2150. 17 indexed citations
11.
Bottomly, Daniel, Beth Wilmot, & Shannon K. McWeeney. (2015). plethy: management of whole body plethysmography data in R. BMC Bioinformatics. 16(1). 134–134. 1 indexed citations
12.
Einarsdóttir, Elísabet, Erna Kentala, Sari Hammarén‐Malmi, et al.. (2015). Predisposition to Childhood Otitis Media and Genetic Polymorphisms within the Toll-Like Receptor 4 (TLR4) Locus. PLoS ONE. 10(7). e0132551–e0132551. 28 indexed citations
13.
Mooney, Michael A., Joel T. Nigg, Shannon K. McWeeney, & Beth Wilmot. (2014). Functional and genomic context in pathway analysis of GWAS data. Trends in Genetics. 30(9). 390–400. 70 indexed citations
14.
Bottomly, Daniel, Peter Ryabinin, Jeffrey Tyner, et al.. (2013). Comparison of methods to identify aberrant expression patterns in individual patients: augmenting our toolkit for precision medicine. Genome Medicine. 5(11). 103–103. 7 indexed citations
15.
Maxson, Julia E., Jason Gotlib, Daniel A. Pollyea, et al.. (2013). OncogenicCSF3RMutations in Chronic Neutrophilic Leukemia and Atypical CML. New England Journal of Medicine. 368(19). 1781–1790. 356 indexed citations breakdown →
16.
Hitzemann, Robert, Daniel Bottomly, Ovidiu D. Iancu, et al.. (2013). The genetics of gene expression in complex mouse crosses as a tool to study the molecular underpinnings of behavior traits. Mammalian Genome. 25(1-2). 12–22. 8 indexed citations
17.
Erten‐Lyons, Deniz, Beth Wilmot, Pavana Anur, et al.. (2011). Microcephaly Genes and Risk of Late-onset Alzheimer Disease. Alzheimer Disease & Associated Disorders. 25(3). 276–282. 5 indexed citations
18.
Schwartzman, Jacob, Solange Mongoue‐Tchokote, Angela Gibbs, et al.. (2011). A DNA methylation microarray-based study identifies ERG as a gene commonly methylated in prostate cancer. Epigenetics. 6(10). 1248–1256. 15 indexed citations
19.
Mooney, Michael A., Beth Wilmot, & Shannon K. McWeeney. (2011). The GA and the GWAS: Using Genetic Algorithms to Search for Multilocus Associations. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 9(3). 899–910. 14 indexed citations
20.
Tian, Wei, Yi Fu, Anna García-Elías, et al.. (2009). A loss-of-function nonsynonymous polymorphism in the osmoregulatory TRPV4 gene is associated with human hyponatremia. Proceedings of the National Academy of Sciences. 106(33). 14034–14039. 79 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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