Peter E. Barker

806 total citations
34 papers, 578 citations indexed

About

Peter E. Barker is a scholar working on Molecular Biology, Spectroscopy and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Peter E. Barker has authored 34 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 5 papers in Spectroscopy and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Peter E. Barker's work include Molecular Biology Techniques and Applications (7 papers), Gene expression and cancer classification (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). Peter E. Barker is often cited by papers focused on Molecular Biology Techniques and Applications (7 papers), Gene expression and cancer classification (5 papers) and Advanced Proteomics Techniques and Applications (5 papers). Peter E. Barker collaborates with scholars based in United States, United Kingdom and France. Peter E. Barker's co-authors include Sudhir Srivastava, John P. Jakupciak, Xiao Yan, Wendy Wang, Paul D. Wagner, Xiugong Gao, Catherine D. O’Connell, Jacob Kagan, Paul Cairns and Steven A. Belinsky and has published in prestigious journals such as Nucleic Acids Research, Cancer Research and Biochemical and Biophysical Research Communications.

In The Last Decade

Peter E. Barker

31 papers receiving 554 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter E. Barker United States 14 377 108 60 57 54 34 578
Masahiro Yamauchi Japan 16 380 1.0× 39 0.4× 33 0.6× 23 0.4× 40 0.7× 53 694
Joshua D. Levin United States 8 546 1.4× 99 0.9× 85 1.4× 42 0.7× 40 0.7× 9 702
Zafar I. Randhawa United States 13 533 1.4× 56 0.5× 21 0.3× 34 0.6× 45 0.8× 22 919
Kerstin Uhland Germany 13 320 0.8× 90 0.8× 44 0.7× 32 0.6× 66 1.2× 21 815
Cihangir Duy United States 13 520 1.4× 94 0.9× 28 0.5× 27 0.5× 27 0.5× 30 955
Victoria Doseeva United States 11 229 0.6× 44 0.4× 38 0.6× 40 0.7× 82 1.5× 21 418
Jumi A. Shin Canada 17 611 1.6× 37 0.3× 27 0.5× 46 0.8× 139 2.6× 46 875
Julia Tait Lathrop United States 12 636 1.7× 40 0.4× 28 0.5× 99 1.7× 43 0.8× 17 910
Kip E. Guja United States 15 478 1.3× 59 0.5× 17 0.3× 55 1.0× 71 1.3× 29 650

Countries citing papers authored by Peter E. Barker

Since Specialization
Citations

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

Fields of papers citing papers by Peter E. Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Peter E. Barker. 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 Peter E. Barker. The network helps show where Peter E. Barker may publish in the future.

Co-authorship network of co-authors of Peter E. Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Peter E. Barker. A scholar is included among the top collaborators of Peter E. Barker 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 Peter E. Barker. Peter E. Barker 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.
Meuse, Curtis W. & Peter E. Barker. (2009). Quantitative Infrared Spectroscopy of Formalin-fixed, Paraffin-embedded Tissue Specimens. Applied immunohistochemistry & molecular morphology. 17(6). 547–552. 14 indexed citations
2.
Yan, Xiao, Xiugong Gao, Gallya Gannot, et al.. (2008). Quantitation of HER2 and telomerase biomarkers in solid tumors with IgY antibodies and nanocrystal detection. International Journal of Cancer. 122(10). 2178–2186. 45 indexed citations
3.
Wells, Wendy A., Peter E. Barker, Calum MacAulay, et al.. (2007). Validation of novel optical imaging technologies: the pathologists’ view. Journal of Biomedical Optics. 12(5). 51801–51801. 23 indexed citations
4.
Gao, Xiugong, Radharaman Ray, Xiao Yan, Peter E. Barker, & Prabhati Ray. (2007). Inhibition of sulfur mustard-induced cytotoxicity and inflammation by the macrolide antibiotic roxithromycin in human respiratory epithelial cells. BMC Cell Biology. 8(1). 17–17. 38 indexed citations
5.
Barker, Peter E., Paul D. Wagner, Stephen E. Stein, et al.. (2006). Standards for Plasma and Serum Protoemics in Early Cancer Detection: A Needs Assessment Report From the NIST-NCI SMART Workshop, August 18-19, 2005 | NIST. Clinical Chemistry. 52(9). 1 indexed citations
6.
Müller, Frank J., Andreas Houben, Peter E. Barker, et al.. (2006). Quantum dots – a versatile tool in plant science?. Journal of Nanobiotechnology. 4(1). 5–5. 23 indexed citations
7.
Jakupciak, John P., Wendy Wang, Delphine S. Ally, et al.. (2005). Mitochondrial DNA as a Cancer Biomarker. Journal of Molecular Diagnostics. 7(2). 258–267. 73 indexed citations
8.
Veerasamy, Ravichandran, Gregory B. Vásquez, Sudhir Srivastava, et al.. (2004). Data standards for proteomics: mitochondrial two-dimensional polyacrylamide gel electrophoresis data as a model system. Mitochondrion. 3(6). 327–336. 5 indexed citations
9.
Liggett, Walter, Peter E. Barker, O. John Semmes, & Lisa H. Cazares. (2004). Measurement Reproducibility in the Early Stages of Biomarker Development. Disease Markers. 20(6). 295–307. 21 indexed citations
10.
Vásquez, Gregory B., Steven J. Zullo, & Peter E. Barker. (2004). Standards requirements for systems biology approaches to health care: mitochondrial proteomics. Mitochondrion. 3(4). 205–215. 1 indexed citations
11.
Barker, Peter E., Wendy Wang, Paul D. Wagner, & Paul F. Pinsky. (2004). Inter-rater agreement on chromosome 5 breakage in FISH-based mutagen sensitivity assays (MSAs). Mutation Research/Genetic Toxicology and Environmental Mutagenesis. 562(1-2). 133–142. 2 indexed citations
12.
Barker, Peter E.. (2003). Cancer Biomarker Validation: Standards and Process. Annals of the New York Academy of Sciences. 983(1). 142–150. 47 indexed citations
13.
Hammond, M. Elizabeth, Peter E. Barker, Sheila E. Taube, & Steven Gutman. (2003). Standard reference material for Her2 testing: report of a National Institute of Standards and Technology-sponsored Consensus Workshop.. PubMed. 11(2). 103–6. 27 indexed citations
14.
Rodriguez, Henry, Paweł Jaruga, Mustafa Birincioğlu, et al.. (2003). Oxidative DNA Damage Biomarkers Used in Tissue Engineered Skin. Advances in experimental medicine and biology. 534. 129–135. 3 indexed citations
15.
Zullo, Steven J., et al.. (2002). Nanotechnology: Emerging Developments and Early Dectection of Cancer. Disease Markers.
16.
17.
Barker, Peter E., et al.. (2002). NIST physical standards for DNA‐based medical testing. Journal of Clinical Laboratory Analysis. 16(1). 5–10. 8 indexed citations
18.
Hsieh, Wang‐Ting, et al.. (1990). A Taql DNA polymorphism in the human cathepsin B gene (CTSB). Nucleic Acids Research. 18(11). 3430–3430. 8 indexed citations
19.
Barker, Peter E.. (1990). Gene Mapping and Cystic Fibrosis. The American Journal of the Medical Sciences. 299(1). 69–72. 4 indexed citations
20.
Kaplan, G, Dennis J. Pillion, William J. Rutter, Helen Kim, & Peter E. Barker. (1989). Insulin receptor overexpression in a human pre-B acute lymphocytic leukemia cell line with a t(1;19) chromosome translocation near the INSR locus. Biochemical and Biophysical Research Communications. 159(3). 1275–1282. 6 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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