Bryan Paeper

8.0k total citations · 2 hit papers
19 papers, 3.7k citations indexed

About

Bryan Paeper is a scholar working on Molecular Biology, Epidemiology and Cell Biology. According to data from OpenAlex, Bryan Paeper has authored 19 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Epidemiology and 4 papers in Cell Biology. Recurrent topics in Bryan Paeper's work include Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (3 papers) and Pancreatic function and diabetes (3 papers). Bryan Paeper is often cited by papers focused on Liver Disease Diagnosis and Treatment (5 papers), Hepatitis C virus research (3 papers) and Pancreatic function and diabetes (3 papers). Bryan Paeper collaborates with scholars based in United States, Netherlands and Israel. Bryan Paeper's co-authors include Mary E. Brunkow, David J. Galas, Fred Ramsdell, Steven F. Ziegler, Eric W. Jeffery, John E. Wilkinson, Kathryn A. Hjerrild, Sean Proll, Herman A. Hamersma and Jessica C. Gardner and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and Nature Biotechnology.

In The Last Decade

Bryan Paeper

19 papers receiving 3.6k citations

Hit Papers

Disruption of a new forkhead/winged-helix protein, scurfi... 2001 2026 2009 2017 2001 2001 500 1000 1.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bryan Paeper United States 15 1.9k 1.3k 730 588 411 19 3.7k
James Loy United States 17 1.0k 0.5× 1.1k 0.8× 1.1k 1.4× 80 0.1× 137 0.3× 23 2.5k
Scott Lonning United States 28 979 0.5× 1.6k 1.2× 1.4k 1.9× 260 0.4× 28 0.1× 39 3.6k
Akihiro Ishizu Japan 27 1.8k 0.9× 1.2k 0.9× 292 0.4× 277 0.5× 41 0.1× 151 3.4k
Kazuya Shimoda Japan 40 2.9k 1.5× 1.9k 1.4× 2.1k 2.9× 415 0.7× 24 0.1× 250 6.4k
Gilles Chiocchia France 34 2.3k 1.2× 1.4k 1.1× 919 1.3× 416 0.7× 41 0.1× 104 4.5k
Richard J. DiPaolo United States 30 2.6k 1.4× 611 0.5× 635 0.9× 281 0.5× 25 0.1× 66 3.6k
Genevieve Whitty Australia 21 1.4k 0.8× 757 0.6× 651 0.9× 133 0.2× 40 0.1× 35 2.9k
Manjiri Sathe United States 13 2.1k 1.1× 513 0.4× 522 0.7× 512 0.9× 60 0.1× 19 3.0k
Akira Yachi Japan 30 855 0.5× 1.2k 0.9× 739 1.0× 138 0.2× 22 0.1× 195 3.1k
K Nishioka Japan 30 888 0.5× 630 0.5× 305 0.4× 229 0.4× 69 0.2× 100 2.5k

Countries citing papers authored by Bryan Paeper

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Paeper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bryan Paeper

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

All Works

19 of 19 papers shown
1.
Walters, Kathie‐Anne, Andrew J. Syder, Sharon Lederer, et al.. (2009). Genomic Analysis Reveals a Potential Role for Cell Cycle Perturbation in HCV-Mediated Apoptosis of Cultured Hepatocytes. PLoS Pathogens. 5(1). e1000269–e1000269. 101 indexed citations
2.
Paeper, Bryan, Sean Proll, Thomas H. Teal, et al.. (2009). Impaired Cholesterol Biosynthesis in a Neuronal Cell Line Persistently Infected with Measles Virus. Journal of Virology. 83(11). 5495–5504. 31 indexed citations
3.
Borozan, Ivan, Limin Chen, Bryan Paeper, et al.. (2008). MAID : An effect size based model for microarray data integration across laboratories and platforms. BMC Bioinformatics. 9(1). 305–305. 12 indexed citations
4.
Diamond, Deborah L., Jon Jacobs, Bryan Paeper, et al.. (2007). Proteomic profiling of human liver biopsies: Hepatitis C virus–induced fibrosis and mitochondrial dysfunction. Hepatology. 46(3). 649–657. 92 indexed citations
5.
Tan, Seng-Lai, Gopinath Ganji, Bryan Paeper, Sean Proll, & Michael G. Katze. (2007). Systems biology and the host response to viral infection. Nature Biotechnology. 25(12). 1383–1389. 100 indexed citations
6.
Wallace, James C., Marcus J. Korth, Bryan Paeper, et al.. (2007). High-density rhesus macaque oligonucleotide microarray design using early-stage rhesus genome sequence information and human genome annotations. BMC Genomics. 8(1). 28–28. 21 indexed citations
7.
Lederer, Sharon, Kathie‐Anne Walters, Sean Proll, et al.. (2006). Distinct cellular responses differentiating alcohol- and hepatitis C virus-induced liver cirrhosis. Virology Journal. 3(1). 98–98. 27 indexed citations
8.
Thomas, Matthew J., Michael B. Agy, Sean Proll, et al.. (2006). Functional gene analysis of individual response to challenge of SIVmac239 in M. mulatta PBMC culture. Virology. 348(1). 242–252. 7 indexed citations
9.
Uitterlinden, André G., Pascal Arp, Bryan Paeper, et al.. (2004). Polymorphisms in the Sclerosteosis/van Buchem Disease Gene (SOST) Region Are Associated with Bone-Mineral Density in Elderly Whites. The American Journal of Human Genetics. 75(6). 1032–1045. 95 indexed citations
10.
Garcı́a-Martı́nez, León F., Mark W. Appleby, Karen Staehling-Hampton, et al.. (2004). A Novel Mutation in CD83 Results in the Development of a Unique Population of CD4+ T Cells. The Journal of Immunology. 173(5). 2995–3001. 43 indexed citations
11.
Staehling-Hampton, Karen, Sean Proll, Bryan Paeper, et al.. (2002). A 52‐kb deletion in the SOST‐MEOX1 intergenic region on 17q12‐q21 is associated with van Buchem disease in the Dutch population. American Journal of Medical Genetics. 110(2). 144–152. 239 indexed citations
12.
Brunkow, Mary E., Eric W. Jeffery, Kathryn A. Hjerrild, et al.. (2001). Disruption of a new forkhead/winged-helix protein, scurfin, results in the fatal lymphoproliferative disorder of the scurfy mouse. Nature Genetics. 27(1). 68–73. 1960 indexed citations breakdown →
13.
Brunkow, Mary E., Jessica C. Gardner, Bryan Paeper, et al.. (2001). Bone Dysplasia Sclerosteosis Results from Loss of the SOST Gene Product, a Novel Cystine Knot–Containing Protein. The American Journal of Human Genetics. 68(3). 577–589. 751 indexed citations breakdown →
14.
Gan, Lu, Lei He, Jill F. McCuaig, et al.. (2000). Sequencing and expression analysis of the serine protease gene cluster located in chromosome 19q13 region. Gene. 257(1). 119–130. 81 indexed citations
15.
Huang, Guyang Matthew, Kaiying Wang, Chen‐Ming Kuo, Bryan Paeper, & Leroy Hood. (1994). A High-Throughput Plasmid DNA Preparation Method. Analytical Biochemistry. 223(1). 35–38. 12 indexed citations
16.
Wang, Kai, et al.. (1994). Structural analysis of the mouse T-cell receptor Tcra V2 subfamily. Immunogenetics. 40(2). 116–22. 19 indexed citations
19.
Stewart, Mark J., et al.. (1991). The role of CCAAT/enhancer-binding protein in the differential transcriptional regulation of a family of human liver alcohol dehydrogenase genes. Journal of Biological Chemistry. 266(18). 11594–11603. 31 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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