William S. Bush

18.9k total citations · 1 hit paper
171 papers, 3.5k citations indexed

About

William S. Bush is a scholar working on Molecular Biology, Genetics and Education. According to data from OpenAlex, William S. Bush has authored 171 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Molecular Biology, 71 papers in Genetics and 19 papers in Education. Recurrent topics in William S. Bush's work include Genetic Associations and Epidemiology (56 papers), Bioinformatics and Genomic Networks (29 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). William S. Bush is often cited by papers focused on Genetic Associations and Epidemiology (56 papers), Bioinformatics and Genomic Networks (29 papers) and Genetic Mapping and Diversity in Plants and Animals (17 papers). William S. Bush collaborates with scholars based in United States, Uganda and United Kingdom. William S. Bush's co-authors include Jason H. Moore, Marylyn D. Ritchie, Dana C. Crawford, Scott Dudek, Matthew T. Oetjens, Alison A. Motsinger‐Reif, Scott M. Williams, Digna R. Velez, Bill C. White and Jonathan L. Haines and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.

In The Last Decade

William S. Bush

150 papers receiving 3.3k citations

Hit Papers

Chapter 11: Genome-Wide Association Studies 2012 2026 2016 2021 2012 200 400 600

Peers

William S. Bush
Kai Yu United States
Dana C. Crawford United States
Alicia R. Martin United States
Tōnu Esko Estonia
Frank Dudbridge United Kingdom
Richard Chen United States
Barton Childs United States
Caroline Hayward United Kingdom
Kai Yu United States
William S. Bush
Citations per year, relative to William S. Bush William S. Bush (= 1×) peers Kai Yu

Countries citing papers authored by William S. Bush

Since Specialization
Citations

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

Fields of papers citing papers by William S. Bush

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William S. Bush. 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 William S. Bush. The network helps show where William S. Bush may publish in the future.

Co-authorship network of co-authors of William S. Bush

This figure shows the co-authorship network connecting the top 25 collaborators of William S. Bush. A scholar is included among the top collaborators of William S. Bush 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 William S. Bush. William S. Bush 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.
Gorski, Mathias, Michelle Grunin, Bruno Frøhlich, et al.. (2025). Diverse-Ancestry GWAS of Age-Related Macular Degeneration on 16,108 Examined Cases and 18,038 Controls. Investigative Ophthalmology & Visual Science. 66(13). 51–51.
2.
Tosto, Giuseppe, Farid Rajabli, Rufus Akinyemi, et al.. (2025). Country-level incidence of Alzheimer disease and related dementias is associated with increased omega-6-PUFA consumption. Communications Medicine. 5(1). 326–326.
3.
Yang, Yihe, et al.. (2024). HORNET: tools to find genes with causal evidence and their regulatory networks using eQTLs. Bioinformatics Advances. 5(1). vbaf068–vbaf068.
4.
Wheeler, Nicholas R., Penelope Benchek, Christiane Reitz, et al.. (2024). Preliminary Insights from a Multi‐Ancestry TWAS in Alzheimer’s Disease in African and European Populations. Alzheimer s & Dementia. 20(S1). e092593–e092593. 1 indexed citations
5.
Kaur, Harpreet, Ravi Kumar Alluri, Kunling Wu, et al.. (2024). Sex-Biased Associations of Circulating Ferroptosis Inhibitors with Reduced Lipid Peroxidation and Better Neurocognitive Performance in People with HIV. Antioxidants. 13(9). 1042–1042. 1 indexed citations
6.
Wang, Li‐San, Yuk Yee Leung, Wan‐Ping Lee, et al.. (2024). Genomic Frontiers in Alzheimer’s Research: A Primer on the Alzheimer’s Disease Sequencing Project (ADSP) and its AI/ML Opportunities. Alzheimer s & Dementia. 20(S1). e087888–e087888. 1 indexed citations
7.
Naj, Adam C., Penelope Benchek, Logan Dumitrescu, et al.. (2023). A haptoglobin (HP) structural variant alters the effect of APOE alleles on Alzheimer's disease. Alzheimer s & Dementia. 19(11). 4886–4895. 5 indexed citations
8.
Grunin, Michelle, Ellen L. Palmer, Bowen Jin, et al.. (2023). Integrating Computational Approaches to Predict the Effect of Genetic Variants on Protein Stability in Retinal Degenerative Disease. Advances in experimental medicine and biology. 1415. 157–163.
9.
Greenfest‐Allen, Emily, Otto Valladares, Pavel P. Kuksa, et al.. (2023). NIAGADS Alzheimer's GenomicsDB: A resource for exploring Alzheimer's disease genetic and genomic knowledge. Alzheimer s & Dementia. 20(2). 1123–1136. 11 indexed citations
10.
Stein, Catherine M., Penelope Benchek, Jacquelaine Bartlett, et al.. (2021). Methylome-wide Analysis Reveals Epigenetic Marks Associated With Resistance to Tuberculosis in Human Immunodeficiency Virus–Infected Individuals From East Africa. The Journal of Infectious Diseases. 224(4). 695–704. 1 indexed citations
11.
Kaur, Harpreet, William S. Bush, Scott Letendre, et al.. (2021). Higher CSF Ferritin Heavy-Chain (Fth1) and Transferrin Predict Better Neurocognitive Performance in People with HIV. Molecular Neurobiology. 58(10). 4842–4855. 3 indexed citations
12.
Bush, William S., et al.. (2020). Use of C-reactive protein concentration in evaluation of diskospondylitis in dogs. Journal of Veterinary Internal Medicine. 35(1). 209–216. 9 indexed citations
13.
Bush, William S., Dana C. Crawford, Angela S. Wenzlaff, et al.. (2017). Germline Genetic Variants and Lung Cancer Survival in African Americans. Cancer Epidemiology Biomarkers & Prevention. 26(8). 1288–1295. 7 indexed citations
14.
Samuels, David C., Asha Kallianpur, Ronald J. Ellis, et al.. (2017). European Mitochondrial DNA Haplogroups are Associated with Cerebrospinal Fluid Biomarkers of Inflammation in HIV Infection. SHILAP Revista de lepidopterología. 1(2). 330–330. 5 indexed citations
15.
Vanneschi, Leonardo, et al.. (2013). Evolutionary computation, machine learning and data mining in bioinformatics : 11th European conference, EvoBIO 2013, Vienna, Austria, April 3-5, 2013, proceedings. Springer eBooks. 1 indexed citations
16.
Bush, William S., et al.. (2009). The Effects of Professional Development in Formative Assessment on Mathematics Teaching Performance and Student Achievement. SHILAP Revista de lepidopterología. 6(12). 32–43. 2 indexed citations
17.
Bush, William S.. (2005). Improving Research on Mathematics Learning and Teaching in Rural Contexts. Journal of Research in Rural Education. 20(8). 1–11. 20 indexed citations
18.
Bush, William S., et al.. (2003). Mathematics assessment : a practical handbook for grades K-2. 8 indexed citations
19.
Goldberg, Patricia & William S. Bush. (2003). Using Metacognitive Skills to Improve 3rd Graders' Math Problem Solving. Focus on learning problems in mathematics. 25(4). 36. 20 indexed citations
20.
Bush, William S.. (1990). Gaining Certification to Teach Secondary Mathematics: A Study of Three Teachers from Other Disciplines.. Focus on learning problems in mathematics. 12(1). 41–60. 5 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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