Philip Beineke

919 total citations
16 papers, 456 citations indexed

About

Philip Beineke is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, Philip Beineke has authored 16 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in Philip Beineke's work include Molecular Biology Techniques and Applications (4 papers), Histiocytic Disorders and Treatments (3 papers) and Viral-associated cancers and disorders (3 papers). Philip Beineke is often cited by papers focused on Molecular Biology Techniques and Applications (4 papers), Histiocytic Disorders and Treatments (3 papers) and Viral-associated cancers and disorders (3 papers). Philip Beineke collaborates with scholars based in United States, Norway and France. Philip Beineke's co-authors include Gary W. Witherell, Trevor Hastie, Shivakumar Vaithyanathan, Steven Rosenberg, Michael Elashoff, James A. Wingrove, William E. Kraus, Christopher D. Manning, Heng Tao and Susan E. Daniels and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Philip Beineke

15 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Beineke United States 11 120 101 75 70 67 16 456
Wijan Prapong United States 5 142 1.2× 49 0.5× 61 0.8× 10 0.1× 62 0.9× 7 398
Sudhir Perincheri United States 11 256 2.1× 71 0.7× 15 0.2× 35 0.5× 35 0.5× 27 541
Masaru Koido Japan 12 226 1.9× 18 0.2× 51 0.7× 16 0.2× 52 0.8× 30 523
Jianhui Ma China 13 185 1.5× 99 1.0× 9 0.1× 18 0.3× 24 0.4× 38 484
Lushan Xiao China 11 113 0.9× 12 0.1× 77 1.0× 11 0.2× 74 1.1× 51 399
J Elliott United States 8 79 0.7× 23 0.2× 23 0.3× 59 0.8× 41 0.6× 13 618
Nobuhiko Shinkura Japan 10 139 1.2× 32 0.3× 29 0.4× 15 0.2× 32 0.5× 24 578
Sebastian Klein Germany 13 122 1.0× 53 0.5× 18 0.2× 4 0.1× 39 0.6× 31 458
The Minh Luong United States 9 90 0.8× 8 0.1× 25 0.3× 74 1.1× 28 0.4× 12 361
Bum‐Sup Jang South Korea 14 133 1.1× 81 0.8× 7 0.1× 18 0.3× 24 0.4× 67 663

Countries citing papers authored by Philip Beineke

Since Specialization
Citations

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

Fields of papers citing papers by Philip Beineke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Beineke

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

All Works

16 of 16 papers shown
1.
Pierson, Sheila K., Laura M. Katz, Melanie Mumau, et al.. (2022). CXCL13 is a predictive biomarker in idiopathic multicentric Castleman disease. Nature Communications. 13(1). 7236–7236. 18 indexed citations
2.
Pierson, Sheila K., Laura M. Katz, Melanie Mumau, et al.. (2022). CXCL13 is a predictive biomarker in idiopathic multicentric Castleman disease. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations
3.
Hamy, Valentin, Luis Garcia‐Gancedo, A. Pollard, et al.. (2020). Developing Smartphone-Based Objective Assessments of Physical Function in Rheumatoid Arthritis Patients: The PARADE Study. SHILAP Revista de lepidopterología. 4(1). 26–44. 25 indexed citations
4.
Pierson, Sheila K., Laura M. Katz, Jason R. Ruth, et al.. (2019). Quantitative Changes in Serum Proteins Including CXCL13 Are Early Indicators of Response to Anti-IL6 Therapy in Idiopathic Multicentric Castleman Disease. Blood. 134(Supplement_1). 3599–3599.
5.
Berry, Donald A., Michael Elashoff, Steven Blotner, et al.. (2017). Creating a synthetic control arm from previous clinical trials: Application to establishing early end points as indicators of overall survival in acute myeloid leukemia (AML).. Journal of Clinical Oncology. 35(15_suppl). 7021–7021. 12 indexed citations
6.
Daniels, Susan E., Philip Beineke, Brian Rhees, et al.. (2014). Biological and Analytical Stability of a Peripheral Blood Gene Expression Score for Obstructive Coronary Artery Disease in the PREDICT and COMPASS Studies. Journal of Cardiovascular Translational Research. 7(7). 615–622. 11 indexed citations
7.
Tao, Heng, Philip Beineke, Bing Li, et al.. (2014). Evaluation of a solid matrix for collection and ambient storage of RNA from whole blood. BMC Clinical Pathology. 14(1). 22–22. 4 indexed citations
8.
9.
Elashoff, Michael, Rachel Nuttall, Philip Beineke, et al.. (2012). Identification of Factors Contributing to Variability in a Blood-Based Gene Expression Test. PLoS ONE. 7(7). e40068–e40068. 14 indexed citations
10.
Beineke, Philip, Karen Fitch, Heng Tao, et al.. (2012). A whole blood gene expression-based signature for smoking status. BMC Medical Genomics. 5(1). 58–58. 65 indexed citations
11.
Elashoff, Michael, James A. Wingrove, Philip Beineke, et al.. (2011). Development of a blood-based gene expression algorithm for assessment of obstructive coronary artery disease in non-diabetic patients. BMC Medical Genomics. 4(1). 26–26. 102 indexed citations
12.
Beineke, Philip, Trevor Hastie, & Shivakumar Vaithyanathan. (2004). The sentimental factor. 263–es. 70 indexed citations
13.
Timek, Tomasz A., Sten Lyager Nielsen, David T. Lai, et al.. (2004). Mitral annular size predicts Alfieri stitch tension in mitral edge-to-edge repair.. PubMed. 13(2). 165–73. 17 indexed citations
14.
Beineke, Philip, Trevor Hastie, Christopher D. Manning, & Shivakumar Vaithyanathan. (2003). An exploration of sentiment summarization. National Conference on Artificial Intelligence. 34 indexed citations
15.
Witherell, Gary W. & Philip Beineke. (2001). Statistical analysis of combined substitutions in nonstructural 5A region of hepatitis C virus and interferon response. Journal of Medical Virology. 63(1). 8–16. 4 indexed citations
16.
Witherell, Gary W. & Philip Beineke. (2000). Statistical analysis of combined substitutions in nonstructural 5A region of hepatitis C virus and interferon response. Journal of Medical Virology. 63(1). 8–16. 77 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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