Daniel P. Gaile

2.1k total citations
41 papers, 720 citations indexed

About

Daniel P. Gaile is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Daniel P. Gaile has authored 41 papers receiving a total of 720 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 16 papers in Genetics and 11 papers in Cancer Research. Recurrent topics in Daniel P. Gaile's work include Gene expression and cancer classification (12 papers), Genomic variations and chromosomal abnormalities (12 papers) and Cancer Genomics and Diagnostics (9 papers). Daniel P. Gaile is often cited by papers focused on Gene expression and cancer classification (12 papers), Genomic variations and chromosomal abnormalities (12 papers) and Cancer Genomics and Diagnostics (9 papers). Daniel P. Gaile collaborates with scholars based in United States, China and United Kingdom. Daniel P. Gaile's co-authors include Norma J. Nowak, Jeffrey M. Conroy, John K. Cowell, Jason Matuszak, John G. Baker, Barry Willer, John Picano, John J. Leddy, Devin McQuaid and Jeffrey C. Miecznikowski and has published in prestigious journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.

In The Last Decade

Daniel P. Gaile

39 papers receiving 708 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel P. Gaile United States 15 369 159 148 130 117 41 720
Wanja Griethe Germany 7 294 0.8× 338 2.1× 125 0.8× 41 0.3× 37 0.3× 8 659
Zhuo Yu China 20 454 1.2× 155 1.0× 99 0.7× 100 0.8× 35 0.3× 40 909
W-L Zhao China 10 576 1.6× 142 0.9× 38 0.3× 134 1.0× 124 1.1× 12 845
Peng Zou China 12 260 0.7× 117 0.7× 34 0.2× 150 1.2× 63 0.5× 33 601
Meir Krupsky Israel 17 832 2.3× 255 1.6× 93 0.6× 199 1.5× 63 0.5× 32 1.2k
Su-Peng Yeh Taiwan 13 533 1.4× 213 1.3× 63 0.4× 139 1.1× 32 0.3× 29 856
Shohei Honda Japan 18 430 1.2× 113 0.7× 93 0.6× 73 0.6× 30 0.3× 71 935
Yifeng Yang China 15 328 0.9× 101 0.6× 65 0.4× 110 0.8× 137 1.2× 46 788
Janusz Nauman Poland 15 261 0.7× 63 0.4× 205 1.4× 83 0.6× 27 0.2× 36 853
Matthew J. Lovell United Kingdom 14 245 0.7× 68 0.4× 60 0.4× 157 1.2× 39 0.3× 21 871

Countries citing papers authored by Daniel P. Gaile

Since Specialization
Citations

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

Fields of papers citing papers by Daniel P. Gaile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel P. Gaile. 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 Daniel P. Gaile. The network helps show where Daniel P. Gaile may publish in the future.

Co-authorship network of co-authors of Daniel P. Gaile

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel P. Gaile. A scholar is included among the top collaborators of Daniel P. Gaile 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 Daniel P. Gaile. Daniel P. Gaile 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.
Jiang, Tingting, et al.. (2022). Variation in liquid biopsy cfDNA yield predicted by somatic mutation and clinical phenotypes across primary cancers.. Journal of Clinical Oncology. 40(16_suppl). e13553–e13553.
2.
Guo, Xiaojuan, Jie Wang, Zhiyue Liu, et al.. (2018). Multi-generational impacts of arsenic exposure on genome-wide DNA methylation and the implications for arsenic-induced skin lesions. Environment International. 119. 250–263. 30 indexed citations
3.
Gaile, Daniel P., et al.. (2017). Myd88 is required for disease development in a primary Sjögren's syndrome mouse model. Journal of Leukocyte Biology. 102(6). 1411–1420. 27 indexed citations
4.
Shen, Long, Lakshmanan Suresh, Yun Lian, et al.. (2017). Systemic manifestations of primary Sjögren's syndrome in the NOD.B10Sn-H2/J mouse model. Clinical Immunology. 183. 225–232. 30 indexed citations
5.
Miecznikowski, Jeffrey C., et al.. (2016). Identification of consistent functional genetic modules. Statistical Applications in Genetics and Molecular Biology. 15(1). 1–18. 5 indexed citations
6.
Leddy, John J., John G. Baker, John Picano, et al.. (2014). Brain or Strain? Symptoms Alone Do Not Distinguish Physiologic Concussion From Cervical/Vestibular Injury. Clinical Journal of Sport Medicine. 25(3). 237–242. 103 indexed citations
7.
Yakovlev, Andrei Y., Lev B. Klebanov, & Daniel P. Gaile. (2013). Statistical Methods for Microarray Data Analysis: Methods and Protocols. Humana Press eBooks. 223–223. 2 indexed citations
8.
Desouki, Mohamed Mokhtar, Daniel P. Gaile, Lori Shepherd, et al.. (2012). Differential copy number aberrations in novel candidate genes associated with progression from in situ to invasive ductal carcinoma of the breast. Genes Chromosomes and Cancer. 51(12). 1067–1078. 29 indexed citations
9.
Miecznikowski, Jeffrey C., Daniel P. Gaile, Song Liu, Lori Shepherd, & Norma J. Nowak. (2011). A New Normalizing Algorithm for BAC CGH Arrays with Quality Control Metrics. BioMed Research International. 2011(1). 860732–860732. 6 indexed citations
10.
Desouki, Mohamed Mokhtar, Jeffrey M. Conroy, Norma J. Nowak, et al.. (2011). The Genomic Relationship Between Primary Breast Carcinomas and Their Nodal Metastases. Cancer Investigation. 29(4). 300–307. 6 indexed citations
11.
Wang, Dongliang, Alan D. Hutson, & Daniel P. Gaile. (2010). An exact bootstrap approach towards modification of the Harrell–Davis quantile function estimator for censored data. Journal of nonparametric statistics. 22(8). 1039–1051. 2 indexed citations
12.
Gaile, Daniel P., Lori Shepherd, Andrew E. Bruno, et al.. (2010). iGenomicViewer: R package for visualisation of high dimension genomic data. International Journal of Bioinformatics Research and Applications. 6(6). 584–584. 1 indexed citations
13.
Desouki, Mohamed Mokhtar, Huayi Huang, Jeffrey M. Conroy, et al.. (2010). Identification of metastasis-associated breast cancer genes using a high-resolution whole genome profiling approach. Journal of Cancer Research and Clinical Oncology. 137(5). 795–809. 23 indexed citations
14.
Sachs, Nancy A., Dobrila D. Rudnicki, Virginia L. Willour, et al.. (2009). Long tandem repeats as a form of genomic copy number variation: structure and length polymorphism of a chromosome 5p repeat in control and schizophrenia populations. Psychiatric Genetics. 19(2). 64–71. 20 indexed citations
15.
Sykes, Donald E., et al.. (2008). A comparative analysis of two tissue procurement approaches for the genomic profiling of clinical colorectal cancer samples. International Journal of Colorectal Disease. 23(11). 1089–1098. 2 indexed citations
16.
Gaile, Daniel P. & Jeffrey C. Miecznikowski. (2007). Putative null distributions corresponding to tests of differential expression in the Golden Spike dataset are intensity dependent. BMC Genomics. 8(1). 105–105. 12 indexed citations
17.
Bartos, Jeremy D., Daniel P. Gaile, Jeffrey M. Conroy, et al.. (2007). aCGH local copy number aberrations associated with overall copy number genomic instability in colorectal cancer: Coordinate involvement of the regions including BCR and ABL. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 615(1-2). 1–11. 14 indexed citations
18.
Coleman, S.J., George Gong, Daniel P. Gaile, et al.. (2007). Evaluation of Compass as a comparative mapping tool for ESTs using horse radiation hybrid maps. Animal Genetics. 38(3). 294–302. 3 indexed citations
19.
Nowak, Norma J., Jeffrey C. Miecznikowski, Stephen Moore, et al.. (2007). Challenges in array comparative genomic hybridization for the analysis of cancer samples. Genetics in Medicine. 9(9). 585–595. 27 indexed citations
20.
Gaile, Daniel P., et al.. (2007). Estimating the Arm-Wise False Discovery Rate in Array Comparative Genomic Hybridization Experiments. Statistical Applications in Genetics and Molecular Biology. 6(1). Article32–Article32. 4 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Wanja Griethe Breakdown of academic impact, for papers by Zhuo Yu Breakdown of academic impact, for papers by W-L Zhao Breakdown of academic impact, for papers by Peng Zou Breakdown of academic impact, for papers by Meir Krupsky Breakdown of academic impact, for papers by Su-Peng Yeh Breakdown of academic impact, for papers by Shohei Honda Breakdown of academic impact, for papers by Yifeng Yang Breakdown of academic impact, for papers by Janusz Nauman Breakdown of academic impact, for papers by Matthew J. Lovell
Rankless by CCL
2026