Michael A. White

11.5k total citations · 1 hit paper
87 papers, 4.8k citations indexed

About

Michael A. White is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Michael A. White has authored 87 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 20 papers in Genetics and 16 papers in Cancer Research. Recurrent topics in Michael A. White's work include Genetic diversity and population structure (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers). Michael A. White is often cited by papers focused on Genetic diversity and population structure (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (9 papers). Michael A. White collaborates with scholars based in United States, South Korea and Switzerland. Michael A. White's co-authors include Brian O. Bodemann, Bret A. Payseur, Yuchen Chien, Kakajan Komurov, Jacques Camonis, Elizabeth A. McMillan, John D. Minna, Gladys Mirey, Dale O. Henry and Carine Rossé and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Michael A. White

84 papers receiving 4.8k citations

Hit Papers

Whole-exome sequencing of pancreatic cancer defines genet... 2015 2026 2018 2022 2015 250 500 750

Peers

Michael A. White
Rita Derua Belgium
Doug W. Chan United States
Haijuan Yang United States
Siavash K. Kurdistani United States
Alberto Ciccia United States
Sharon Dent United States
Michelle Barton United States
William P. Tansey United States
Guy Cavet United States
Rita Derua Belgium
Michael A. White
Citations per year, relative to Michael A. White Michael A. White (= 1×) peers Rita Derua

Countries citing papers authored by Michael A. White

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. White. 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 Michael A. White. The network helps show where Michael A. White may publish in the future.

Co-authorship network of co-authors of Michael A. White

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. White. A scholar is included among the top collaborators of Michael A. White 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 Michael A. White. Michael A. White 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.
McCann, Joseph P., et al.. (2025). A Y-linked duplication of anti-Mullerian hormone is the sex determination gene in threespine stickleback. PLoS Genetics. 21(11). e1011932–e1011932.
2.
White, Michael A., et al.. (2024). Positive Selection Drives cis-regulatory Evolution Across the Threespine Stickleback Y Chromosome. Molecular Biology and Evolution. 41(2). 1 indexed citations
3.
Hight, Suzie K., Trevor N. Clark, Kenji L. Kurita, et al.. (2022). High-throughput functional annotation of natural products by integrated activity profiling. Proceedings of the National Academy of Sciences. 119(49). e2208458119–e2208458119. 15 indexed citations
4.
White, Michael A., et al.. (2022). The evolution of gene regulation on sex chromosomes. Trends in Genetics. 38(8). 844–855. 4 indexed citations
5.
White, Michael A., et al.. (2021). Improved contiguity of the threespine stickleback genome using long-read sequencing. G3 Genes Genomes Genetics. 11(2). 42 indexed citations
6.
White, Michael A., et al.. (2021). Long-read RNA sequencing reveals widespread sex-specific alternative splicing in threespine stickleback fish. Genome Research. 31(8). 1486–1497. 28 indexed citations
7.
Harr, Bettina, et al.. (2020). Disrupted Gene Networks in Subfertile Hybrid House Mice. Molecular Biology and Evolution. 37(6). 1547–1562. 17 indexed citations
8.
Neilsen, Beth K., Binita Chakraborty, Suzie K. Hight, et al.. (2020). A Gene Expression High-Throughput Screen (GE-HTS) for Coordinated Detection of Functionally Similar Effectors in Cancer. Cancers. 12(11). 3143–3143. 7 indexed citations
9.
Neilsen, Beth K., David L. Kelly, Binita Chakraborty, et al.. (2020). High-throughput identification of protein functional similarities using a gene-expression-based siRNA screen. Scientific Data. 7(1). 27–27. 2 indexed citations
10.
Archambeault, Sophie, et al.. (2019). Divergent Fine-Scale Recombination Landscapes between a Freshwater and Marine Population of Threespine Stickleback Fish. Genome Biology and Evolution. 11(6). 1552–1572. 39 indexed citations
11.
Lee, Jooyoung, Hyosil Kim, Jae Eun Lee, et al.. (2018). Selective Cytotoxicity of the NAMPT Inhibitor FK866 Toward Gastric Cancer Cells With Markers of the Epithelial-Mesenchymal Transition, Due to Loss of NAPRT. Gastroenterology. 155(3). 799–814.e13. 85 indexed citations
12.
Lou, Tzu‐Fang, Patrick Dospoy, Hyun Seok Kim, et al.. (2015). Cancer-Specific Production of N-Acetylaspartate via NAT8L Overexpression in Non–Small Cell Lung Cancer and Its Potential as a Circulating Biomarker. Cancer Prevention Research. 9(1). 43–52. 34 indexed citations
13.
Du, Liqin, Zhenze Zhao, Elizabeth A. McMillan, et al.. (2014). Genetic Mutation of p53 and Suppression of the miR-17∼92 Cluster Are Synthetic Lethal in Non–Small Cell Lung Cancer due to Upregulation of Vitamin D Signaling. Cancer Research. 75(4). 666–675. 39 indexed citations
14.
Tang, Hao, Guanghua Xiao, Carmen Behrens, et al.. (2013). A 12-Gene Set Predicts Survival Benefits from Adjuvant Chemotherapy in Non–Small Cell Lung Cancer Patients. Clinical Cancer Research. 19(6). 1577–1586. 213 indexed citations
15.
Eskiocak, Uğur, Sang Bum Kim, Peter Ly, et al.. (2011). Functional Parsing of Driver Mutations in the Colorectal Cancer Genome Reveals Numerous Suppressors of Anchorage-Independent Growth. Cancer Research. 71(13). 4359–4365. 22 indexed citations
16.
Dumont, Beth L., Michael A. White, Brian Steffy, Tim Wiltshire, & Bret A. Payseur. (2010). Extensive recombination rate variation in the house mouse species complex inferred from genetic linkage maps. Genome Research. 21(1). 114–125. 55 indexed citations
17.
18.
Zhao, Yingming, Sung Won Kwon, Anthony Anselmo, Kiran Kaur, & Michael A. White. (2004). Broad Spectrum Identification of Cellular Small Ubiquitin-related Modifier (SUMO) Substrate Proteins. Journal of Biological Chemistry. 279(20). 20999–21002. 111 indexed citations
19.
White, Michael A., et al.. (2001). Isolation of effector-selective ras mutants by yeast two-hybrid screening. Methods in enzymology on CD-ROM/Methods in enzymology. 332. 270–277. 3 indexed citations
20.
Drugan, Jonelle K., Roya Khosravi‐Far, Michael A. White, et al.. (1996). Ras Interaction with Two Distinct Binding Domains in Raf-1 5 Be Required for Ras Transformation. Journal of Biological Chemistry. 271(1). 233–237. 124 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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