Phillip Stafford

3.9k total citations
79 papers, 2.1k citations indexed

About

Phillip Stafford is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Phillip Stafford has authored 79 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Molecular Biology, 24 papers in Radiology, Nuclear Medicine and Imaging and 13 papers in Oncology. Recurrent topics in Phillip Stafford's work include Monoclonal and Polyclonal Antibodies Research (22 papers), Advanced Biosensing Techniques and Applications (22 papers) and Gene expression and cancer classification (14 papers). Phillip Stafford is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (22 papers), Advanced Biosensing Techniques and Applications (22 papers) and Gene expression and cancer classification (14 papers). Phillip Stafford collaborates with scholars based in United States, Qatar and Canada. Phillip Stafford's co-authors include Stephen Albert Johnston, Adrienne C. Scheck, Mohammed G. Abdelwahab, Mark C. Preul, Jong M. Rho, Joseph Barten Legutki, Kathryn E. Fenton, Rebecca F. Halperin, Neal W. Woodbury and Andy G. Lynch and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Phillip Stafford

75 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Phillip Stafford United States 27 1.3k 430 427 380 224 79 2.1k
Linn Fagerberg Sweden 28 2.1k 1.7× 199 0.5× 287 0.7× 302 0.8× 249 1.1× 55 3.1k
Alain Mangé France 31 2.0k 1.6× 208 0.5× 340 0.8× 191 0.5× 264 1.2× 72 2.6k
Afshin Beheshti United States 23 748 0.6× 348 0.8× 155 0.4× 408 1.1× 367 1.6× 92 1.9k
William Howat United Kingdom 20 1.0k 0.8× 313 0.7× 171 0.4× 307 0.8× 639 2.9× 36 2.2k
Raghothama Chaerkady United States 37 2.4k 1.9× 208 0.5× 341 0.8× 474 1.2× 399 1.8× 91 3.6k
Stanislav Kozubek Czechia 36 3.2k 2.5× 245 0.6× 221 0.5× 390 1.0× 343 1.5× 138 4.0k
Françesc Canals Spain 28 1.5k 1.2× 121 0.3× 227 0.5× 278 0.7× 420 1.9× 97 2.5k
Martin E. van Royen Netherlands 29 1.7k 1.3× 190 0.4× 157 0.4× 465 1.2× 390 1.7× 83 2.9k
Haiyong Peng United States 19 1.1k 0.9× 94 0.2× 242 0.6× 414 1.1× 375 1.7× 47 2.1k
Jin Tang China 24 2.0k 1.6× 191 0.4× 152 0.4× 657 1.7× 387 1.7× 87 3.1k

Countries citing papers authored by Phillip Stafford

Since Specialization
Citations

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

Fields of papers citing papers by Phillip Stafford

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Phillip Stafford

This figure shows the co-authorship network connecting the top 25 collaborators of Phillip Stafford. A scholar is included among the top collaborators of Phillip Stafford 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 Phillip Stafford. Phillip Stafford 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.
Darabi, Sourat, et al.. (2025). BRAF V600E Mutation Has Variable Tumor-Specific Effects on Expression of MAPK Pathway Genes That Could Affect Patient Outcome. International Journal of Molecular Sciences. 26(16). 7910–7910. 2 indexed citations
2.
Stafford, Phillip, et al.. (2025). Freezing diluted bovine serum albumin standards does not significantly affect standard curves. BioTechniques. 77(3). 95–102.
3.
Ravi, Rupesh Kanchi, et al.. (2023). 222-B Critical clinical evaluation of plasma to tumor tissue concordance by cancer type using Illumina’s cell-free ctTSO500 commercial liquid biopsy assay. SHILAP Revista de lepidopterología. A1768–A1768. 1 indexed citations
4.
Abraham, Jim, Daniel Magee, Chiara Cremolini, et al.. (2020). Clinical Validation of a Machine-learning–derived Signature Predictive of Outcomes from First-line Oxaliplatin-based Chemotherapy in Advanced Colorectal Cancer. Clinical Cancer Research. 27(4). 1174–1183. 35 indexed citations
5.
Vranić, Semir, Phillip Stafford, Juan Palazzo, et al.. (2020). Molecular Profiling of the Metaplastic Spindle Cell Carcinoma of the Breast Reveals Potentially Targetable Biomarkers. Clinical Breast Cancer. 20(4). 326–331.e1. 28 indexed citations
6.
Feldman, Rebecca, et al.. (2019). Novel therapeutic targets in salivary duct carcinoma uncovered by comprehensive molecular profiling. Cancer Medicine. 8(17). 7322–7329. 43 indexed citations
7.
Gatalica, Zoran, Semir Vranić, Phillip Stafford, et al.. (2019). Spindle cell carcinoma of the breast: Rare cancer with potentially targetable biomarkers. Annals of Oncology. 30. iii19–iii19. 1 indexed citations
8.
Stafford, Phillip, Juliana Falcão Rodrigues, L. Jeannine Brady, et al.. (2017). LT adjuvant modulates epitope specificity and improves the efficacy of murine antibodies elicited by sublingual vaccination with the N-terminal domain of Streptococcus mutans P1. Vaccine. 35(52). 7273–7282. 15 indexed citations
9.
Wang, Lu, Kurt Whittemore, Stephen Albert Johnston, & Phillip Stafford. (2017). Entropy is a Simple Measure of the Antibody Profile and is an Indicator of Health Status: A Proof of Concept. Scientific Reports. 7(1). 18060–18060. 9 indexed citations
10.
Barrila, Jennifer, C. Mark Ott, Satish Mehta, et al.. (2016). Spaceflight modulates gene expression in the whole blood of astronauts. npj Microgravity. 2(1). 16039–16039. 34 indexed citations
11.
Navalkar, Krupa, Stephen Albert Johnston, Neal W. Woodbury, et al.. (2014). Application of Immunosignatures for Diagnosis of Valley Fever. Clinical and Vaccine Immunology. 21(8). 1169–1177. 20 indexed citations
12.
Navalkar, Krupa, et al.. (2014). Peptide based diagnostics: Are random-sequence peptides more useful than tiling proteome sequences?. Journal of Immunological Methods. 417. 10–21. 15 indexed citations
13.
Stafford, Phillip, et al.. (2014). Diagnosis and early detection of CNS-SLE in MRL/lpr mice using peptide microarrays. BMC Immunology. 15(1). 23–23. 13 indexed citations
14.
Johnston, Stephen Albert, et al.. (2012). Comparative study of classification algorithms for immunosignaturing data. BMC Bioinformatics. 13(1). 139–139. 35 indexed citations
15.
Scheck, Adrienne C., Mohammed G. Abdelwahab, Kathryn E. Fenton, & Phillip Stafford. (2011). The ketogenic diet for the treatment of glioma: Insights from genetic profiling. Epilepsy Research. 100(3). 327–337. 35 indexed citations
16.
Diehnelt, Chris W., et al.. (2010). Discovery of High-Affinity Protein Binding Ligands – Backwards. PLoS ONE. 5(5). e10728–e10728. 25 indexed citations
17.
Li, Chao, Yuhua Li, Xiangmin Zhang, Phillip Stafford, & Valentin Dinu. (2009). ICRPfinder: a fast pattern design algorithm for coding sequences and its application in finding potential restriction enzyme recognition sites. BMC Bioinformatics. 10(1). 286–286. 2 indexed citations
18.
Balagurunathan, Yoganand, David L. Morse, Galen Hostetter, et al.. (2008). Gene expression profiling-based identification of cell-surface targets for developing multimeric ligands in pancreatic cancer. Molecular Cancer Therapeutics. 7(9). 3071–3080. 20 indexed citations
19.
Warner, Steven L., Rubén M. Muñoz, Phillip Stafford, et al.. (2006). Comparing Aurora A and Aurora B as molecular targets for growth inhibition of pancreatic cancer cells. Molecular Cancer Therapeutics. 5(10). 2450–2458. 33 indexed citations
20.
Puffenberger, Erik G., Diane Hu‐Lince, David W. Craig, et al.. (2004). Mapping of sudden infant death with dysgenesis of the testes syndrome (SIDDT) by a SNP genome scan and identification of TSPYL loss of function. Proceedings of the National Academy of Sciences. 101(32). 11689–11694. 108 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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