Philip J. Brown

7.5k total citations
134 papers, 5.1k citations indexed

About

Philip J. Brown is a scholar working on Statistics and Probability, Analytical Chemistry and Molecular Biology. According to data from OpenAlex, Philip J. Brown has authored 134 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 27 papers in Analytical Chemistry and 18 papers in Molecular Biology. Recurrent topics in Philip J. Brown's work include Advanced Statistical Methods and Models (33 papers), Spectroscopy and Chemometric Analyses (27 papers) and Statistical Methods and Inference (22 papers). Philip J. Brown is often cited by papers focused on Advanced Statistical Methods and Models (33 papers), Spectroscopy and Chemometric Analyses (27 papers) and Statistical Methods and Inference (22 papers). Philip J. Brown collaborates with scholars based in United Kingdom, United States and Australia. Philip J. Brown's co-authors include Jim E. Griffin, Marina Vannucci, Tom Fearn, Alison H. Banham, Leon Jay Gleser, Clive Payne, James V. Zidek, Jeffrey S. Morris, Bridget C. Fox and Rolf Sundberg and has published in prestigious journals such as Journal of the American Statistical Association, Blood and Technometrics.

In The Last Decade

Philip J. Brown

130 papers receiving 4.9k citations

Peers

Philip J. Brown

IMMUN

David M. Rocke United States

Weidong Liu China

M. R. Mickey United States

Yufeng Liu China

Jian Huang United States

Noah Simon United States

Somnath Datta United States

Balasubramanian Narasimhan United States

Rob Tibshirani United States

Chris Holmes United Kingdom

David M. Rocke United States

Philip J. Brown

1.5k ×1.1

3.3k ×3.9

284 ×0.4

IMMUN

893 ×1.3

499 ×0.8

Citations per year, relative to Philip J. Brown Philip J. Brown (= 1×) peers David M. Rocke

Countries citing papers authored by Philip J. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Philip J. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip J. Brown. 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 Philip J. Brown. The network helps show where Philip J. Brown may publish in the future.

Co-authorship network of co-authors of Philip J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Brown. A scholar is included among the top collaborators of Philip J. Brown 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 Philip J. Brown. Philip J. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Rutherford, O. M., et al.. (2025). Material Characterization of Ovine Lung Parenchyma at Pressures Representing the Breathing Cycle. Journal of Biomechanical Engineering. 147(10).

Kleinberger, Michael, et al.. (2023). Micro-CT Imaging and Mechanical Properties of Ovine Ribs. Annals of Biomedical Engineering. 51(7). 1513–1522. 2 indexed citations

Hanley, Brian, et al.. (2019). Assessment of the quality and readability of online information on autopsy for the general public: a cross-sectional analysis. BMJ Open. 9(5). e023804–e023804. 3 indexed citations

Ye, Xin, et al.. (2019). Development and Multi-Scale Validation of a Finite Element Football Helmet Model. Annals of Biomedical Engineering. 48(1). 258–270. 25 indexed citations

Zhu, Hongxiao, Philip J. Brown, & Jeffrey S. Morris. (2012). Robust Classification of Functional and Quantitative Image Data Using Functional Mixed Models. Biometrics. 68(4). 1260–1268. 34 indexed citations

Takano, Elena A., et al.. (2009). Expression of the forkhead box transcription factor FOXP1 is associated with oestrogen receptor alpha, oestrogen receptor beta and improved survival in familial breast cancers. Journal of Clinical Pathology. 62(10). 896–902. 25 indexed citations

Strimenopoulou, Foteini & Philip J. Brown. (2008). Empirical Bayes Logistic Regression. Statistical Applications in Genetics and Molecular Biology. 7(2). Article9–Article9. 8 indexed citations

Bacon, Chris M., Shotaro Nakamura, Hongtao Ye, et al.. (2008). FOXP1 abnormalities in lymphoma: translocation breakpoint mapping reveals insights into deregulated transcriptional control. Modern Pathology. 21(7). 902–911. 56 indexed citations

Morris, Jeffrey S., Philip J. Brown, Richard C. Herrick, Keith Baggerly, & Kevin R. Coombes. (2007). Bayesian Analysis of Mass Spectrometry Proteomic Data Using Wavelet‐Based Functional Mixed Models. Biometrics. 64(2). 479–489. 80 indexed citations

10.

Ward, Scott M., Bridget C. Fox, Philip J. Brown, et al.. (2007). Quantification and localisation of FOXP3+ T lymphocytes and relation to hepatic inflammation during chronic HCV infection. Journal of Hepatology. 47(3). 316–324. 122 indexed citations

11.

Liggins, Amanda P., C.D.O. Cooper, Charles H. Lawrie, et al.. (2007). MORC4, a novel member of the MORC family, is highly expressed in a subset of diffuse large B‐cell lymphomas. British Journal of Haematology. 138(4). 479–486. 30 indexed citations

12.

Sha, Naijun, Marina Vannucci, Mahlet G. Tadesse, et al.. (2004). Bayesian Variable Selection in Multinomial Probit Models to Identify Molecular Signatures of Disease Stage. Biometrics. 60(3). 812–819. 90 indexed citations

13.

Brown, Philip J.. (2001). Principles of Post-coordination Concept Construction and Retrieval. Europe PMC (PubMed Central). 869–869. 1 indexed citations

14.

Brown, Philip J.. (2001). Bayesian discrimination with longitudinal data. Biostatistics. 2(4). 417–432. 15 indexed citations

15.

Brown, Philip J. & P.H. Sönksen. (2000). Evaluation of the Quality of Information Retrieval of Clinical Findings from a Computerized Patient Database Using a Semantic Terminological Model. Journal of the American Medical Informatics Association. 7(4). 392–403. 37 indexed citations

16.

Fearn, Tom, et al.. (1999). Logistic discrimination with many variables. UCL Discovery (University College London). 93(3). 337–342. 3 indexed citations

17.

Price, C.J., et al.. (1997). Symbolic Anatomic Knowledge Representation in the Read Codes Version 3: Structure and Application. Journal of the American Medical Informatics Association. 4(1). 38–48. 42 indexed citations

18.

Brown, Philip J., Clifford H. Spiegelman, & Michael C. Denham. (1991). Chemometrics and spectral frequency selection. Philosophical Transactions of the Royal Society of London Series A Physical and Engineering Sciences. 337(1647). 311–322. 31 indexed citations

19.

Brown, Philip J. & Wayne A. Fuller. (1990). Statistical analysis of measurement error models and applications : proceedings of the AMS-IMS-SIAM Joint Summer Research conference held June 10-16, 1989, with support from the National Science Foundation and the U.S. Army Research Office. American Mathematical Society eBooks. 6 indexed citations

20.

Brown, Philip J., et al.. (1985). Kernel Estimates for Categorical Data. Technometrics. 27(3). 293–299. 10 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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