Amanda M. White

497 total citations
22 papers, 345 citations indexed

About

Amanda M. White is a scholar working on Molecular Biology, Spectroscopy and Artificial Intelligence. According to data from OpenAlex, Amanda M. White has authored 22 papers receiving a total of 345 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 8 papers in Spectroscopy and 5 papers in Artificial Intelligence. Recurrent topics in Amanda M. White's work include Gene expression and cancer classification (9 papers), Advanced Proteomics Techniques and Applications (7 papers) and Bioinformatics and Genomic Networks (6 papers). Amanda M. White is often cited by papers focused on Gene expression and cancer classification (9 papers), Advanced Proteomics Techniques and Applications (7 papers) and Bioinformatics and Genomic Networks (6 papers). Amanda M. White collaborates with scholars based in United States, Qatar and Türkiye. Amanda M. White's co-authors include Richard C. Zangar, Constance T. Gager, Karin Rodland, Cheryl L. Baird, Don S. Daly, Kevin K. Anderson, Susan M. Varnum, Lisa Bramer, Lee Ann McCue and Kelly G. Stratton and has published in prestigious journals such as Bioinformatics, Cancer Research and Analytical Biochemistry.

In The Last Decade

Amanda M. White

22 papers receiving 329 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amanda M. White United States 9 197 61 60 36 30 22 345
Keith Inman United States 13 143 0.7× 15 0.2× 23 0.4× 14 0.4× 46 1.5× 22 554
David A. Stoney United States 14 79 0.4× 22 0.4× 36 0.6× 16 0.4× 128 4.3× 36 752
Simon Baechler Switzerland 13 89 0.5× 9 0.1× 27 0.5× 20 0.6× 46 1.5× 29 461
Benjamín Figueroa United States 12 60 0.3× 10 0.2× 65 1.1× 10 0.3× 35 1.2× 17 439
Carol Ezzell United States 9 118 0.6× 21 0.3× 17 0.3× 8 0.2× 6 0.2× 117 333
Nathan Nakatsuka United States 8 210 1.1× 17 0.3× 13 0.2× 9 0.3× 3 0.1× 13 581
Shannon Stefl United States 7 243 1.2× 13 0.2× 12 0.2× 10 0.3× 41 1.4× 14 432
Sheila Willis United Kingdom 11 68 0.3× 27 0.4× 11 0.2× 4 0.1× 53 1.8× 23 512
Kathleen Savage United Kingdom 12 48 0.2× 12 0.2× 35 0.6× 60 1.7× 82 2.7× 24 458
Jonathan Creamer Australia 9 105 0.5× 6 0.1× 51 0.8× 20 0.6× 128 4.3× 11 321

Countries citing papers authored by Amanda M. White

Since Specialization
Citations

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

Fields of papers citing papers by Amanda M. White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amanda M. White

This figure shows the co-authorship network connecting the top 25 collaborators of Amanda M. White. A scholar is included among the top collaborators of Amanda M. 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 Amanda M. White. Amanda M. 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.
White, Amanda M., Yuri Corilo, Vanessa Bailey, et al.. (2024). FREDA: A Web Application for the Processing, Analysis, and Visualization of Fourier‐Transform Mass Spectrometry Data. Rapid Communications in Mass Spectrometry. 39(7). e9980–e9980. 1 indexed citations
2.
Stratton, Kelly G., et al.. (2023). PMart Web Application: Marketplace for Interactive Analysis of Panomics Data. Journal of Proteome Research. 23(8). 3310–3317. 4 indexed citations
3.
Bramer, Lisa, et al.. (2021). PSpecteR: A User-Friendly and Interactive Application for Visualizing Top-Down and Bottom-Up Proteomics Data in R. Journal of Proteome Research. 20(4). 2014–2020. 5 indexed citations
4.
Bramer, Lisa, Amanda M. White, Kelly G. Stratton, et al.. (2020). ftmsRanalysis: An R package for exploratory data analysis and interactive visualization of FT-MS data. PLoS Computational Biology. 16(3). e1007654–e1007654. 36 indexed citations
5.
Bramer, Lisa, Kelly G. Stratton, Amanda M. White, et al.. (2019). P-Mart: Interactive Analysis of Ion Abundance Global Proteomics Data. Journal of Proteome Research. 18(3). 1426–1432. 3 indexed citations
6.
Webb‐Robertson, Bobbie‐Jo, Lisa Bramer, Jeffrey L. Jensen, et al.. (2017). P-MartCancer–Interactive Online Software to Enable Analysis of Shotgun Cancer Proteomic Datasets. Cancer Research. 77(21). e47–e50. 5 indexed citations
7.
White, Amanda M., et al.. (2016). Finite‐horizon Markov population decision chains with constant risk posture. Naval Research Logistics (NRL). 65(8). 580–593. 2 indexed citations
8.
White, Amanda M., Don S. Daly, & Richard C. Zangar. (2010). Analysis of High-Throughput ELISA Microarray Data. Methods in molecular biology. 694. 191–211. 3 indexed citations
9.
Taylor, Ronald C., Mudita Singhal, Don S. Daly, et al.. (2009). An analysis pipeline for the inference of protein-protein interaction networks. International Journal of Data Mining and Bioinformatics. 3(4). 409–409. 1 indexed citations
10.
Zangar, Richard C., et al.. (2009). ProMAT Calibrator: A Tool for Reducing Experimental Bias in Antibody Microarrays. Journal of Proteome Research. 8(8). 3937–3943. 14 indexed citations
11.
Gilmore, Jason M., Deanna L. Auberry, Julia L. Sharp, et al.. (2008). A Bayesian estimator of protein–protein association probabilities. Bioinformatics. 24(13). 1554–1555. 6 indexed citations
12.
White, Amanda M., et al.. (2007). Evaluation of surface chemistries for antibody microarrays. Analytical Biochemistry. 371(1). 105–115. 88 indexed citations
13.
Taylor, Ronald C., Mudita Singhal, Don S. Daly, et al.. (2007). SEBINI-CABIN: An Analysis Pipeline for Biological Network Inference, with a Case Study in Protein-Protein Interaction Network Reconstruction. 587–593. 3 indexed citations
14.
White, Amanda M. & Constance T. Gager. (2007). Idle Hands and Empty Pockets? Youth Involvement in Extracurricular Activities, Social Capital, and Economic Status. Youth & Society. 39(1). 75–111. 50 indexed citations
15.
Sharp, Julia L., Kevin K. Anderson, Gregory B. Hurst, et al.. (2007). Statistically Inferring Protein−Protein Associations with Affinity Isolation LC−MS/MS Assays. Journal of Proteome Research. 6(9). 3788–3795. 7 indexed citations
16.
White, Amanda M., Don S. Daly, Susan M. Varnum, et al.. (2006). ProMAT: protein microarray analysis tool. Bioinformatics. 22(10). 1278–1279. 30 indexed citations
17.
Sanfilippo, Antonio, Stephen Tratz, Michelle Gregory, et al.. (2006). Automating ontological annotation with WordNet. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 85–93. 9 indexed citations
18.
Sanfilippo, Antonio, Stephen Tratz, Michelle Gregory, et al.. (2005). Ontological Annotation with WordNet. University of North Texas Digital Library (University of North Texas). 27–36. 4 indexed citations
19.
White, Amanda M., et al.. (2005). Automated Microarray Image Analysis Toolbox for MATLAB. Computer applications in the biosciences. 21(17). 3578–3579. 21 indexed citations
20.
Daly, Don S., Amanda M. White, Susan M. Varnum, Kevin K. Anderson, & Richard C. Zangar. (2005). Evaluating concentration estimation errors in ELISA microarray experiments. BMC Bioinformatics. 6(1). 17–17. 30 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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