Barbara S. Paugh

5.1k total citations
9 papers, 1.4k citations indexed

About

Barbara S. Paugh is a scholar working on Molecular Biology, Genetics and Neurology. According to data from OpenAlex, Barbara S. Paugh has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Genetics and 2 papers in Neurology. Recurrent topics in Barbara S. Paugh's work include Glioma Diagnosis and Treatment (4 papers), Sphingolipid Metabolism and Signaling (4 papers) and Chromatin Remodeling and Cancer (2 papers). Barbara S. Paugh is often cited by papers focused on Glioma Diagnosis and Treatment (4 papers), Sphingolipid Metabolism and Signaling (4 papers) and Chromatin Remodeling and Cancer (2 papers). Barbara S. Paugh collaborates with scholars based in United States, United Kingdom and Poland. Barbara S. Paugh's co-authors include Alberto Broniscer, David W. Ellison, Junyuan Zhang, Suzanne J. Baker, Chunxu Qu, Chris Jones, Amar Gajjar, Sheldon Milstien, Tomasz Kordula and Sarah Spiegel and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and Blood.

In The Last Decade

Barbara S. Paugh

9 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara S. Paugh United States 9 827 759 360 258 192 9 1.4k
Hiroyuki Momota Japan 19 846 1.0× 669 0.9× 233 0.6× 357 1.4× 246 1.3× 39 1.5k
Gayatry Mohapatra United States 24 1.2k 1.4× 842 1.1× 286 0.8× 459 1.8× 410 2.1× 34 2.0k
Eric H. Raabe United States 25 1.2k 1.4× 635 0.8× 372 1.0× 467 1.8× 224 1.2× 87 1.8k
Birgit Meyer‐Puttlitz Germany 16 916 1.1× 628 0.8× 334 0.9× 313 1.2× 191 1.0× 19 1.6k
Bárbara Meléndez Spain 22 859 1.0× 442 0.6× 228 0.6× 421 1.6× 439 2.3× 66 1.6k
Genevieve Schindler Germany 6 605 0.7× 776 1.0× 356 1.0× 207 0.8× 231 1.2× 8 1.3k
Sylvia Kocialkowski United Kingdom 11 862 1.0× 1.2k 1.6× 454 1.3× 518 2.0× 235 1.2× 13 1.8k
Regina Fillbrandt Germany 13 807 1.0× 499 0.7× 108 0.3× 440 1.7× 294 1.5× 15 1.4k
Markus J. Riemenschneider Germany 21 529 0.6× 738 1.0× 274 0.8× 329 1.3× 195 1.0× 59 1.5k
Karisa C. Schreck United States 16 946 1.1× 505 0.7× 140 0.4× 290 1.1× 418 2.2× 55 1.4k

Countries citing papers authored by Barbara S. Paugh

Since Specialization
Citations

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

Fields of papers citing papers by Barbara S. Paugh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Barbara S. Paugh. 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 Barbara S. Paugh. The network helps show where Barbara S. Paugh may publish in the future.

Co-authorship network of co-authors of Barbara S. Paugh

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

All Works

9 of 9 papers shown
1.
Paugh, Barbara S., Lajos Baranyi, André Roy, et al.. (2021). Reference standards for accurate validation and optimization of assays that determine integrated lentiviral vector copy number in transduced cells. Scientific Reports. 11(1). 389–389. 16 indexed citations
2.
Paugh, Barbara S., Xiaoyan Zhu, Chunxu Qu, et al.. (2013). Novel Oncogenic PDGFRA Mutations in Pediatric High-Grade Gliomas. Cancer Research. 73(20). 6219–6229. 150 indexed citations
3.
Nicolaides, Theodore, Huifang Li, David A. Solomon, et al.. (2011). Targeted Therapy for BRAFV600E Malignant Astrocytoma. Clinical Cancer Research. 17(24). 7595–7604. 113 indexed citations
4.
Paugh, Barbara S., Alberto Broniscer, Chunxu Qu, et al.. (2011). Genome-Wide Analyses Identify Recurrent Amplifications of Receptor Tyrosine Kinases and Cell-Cycle Regulatory Genes in Diffuse Intrinsic Pontine Glioma. Journal of Clinical Oncology. 29(30). 3999–4006. 219 indexed citations
5.
Paugh, Barbara S., Chunxu Qu, Chris Jones, et al.. (2010). Integrated Molecular Genetic Profiling of Pediatric High-Grade Gliomas Reveals Key Differences With the Adult Disease. Journal of Clinical Oncology. 28(18). 3061–3068. 458 indexed citations
6.
Paugh, Barbara S., Lauren Bryan, Steven W. Paugh, et al.. (2008). Interleukin-1 Regulates the Expression of Sphingosine Kinase 1 in Glioblastoma Cells. Journal of Biological Chemistry. 284(6). 3408–3417. 81 indexed citations
7.
8.
Paugh, Steven W., Barbara S. Paugh, Mohamed Rahmani, et al.. (2008). A selective sphingosine kinase 1 inhibitor integrates multiple molecular therapeutic targets in human leukemia. Blood. 112(4). 1382–1391. 203 indexed citations
9.
Paugh, Barbara S., Steven W. Paugh, Lauren Bryan, et al.. (2007). EGF regulates plasminogen activator inhibitor‐1 (PAI‐1) by a pathway involving c‐Src, PKCδ, and sphingosine kinase 1 in glioblastoma cells. The FASEB Journal. 22(2). 455–465. 74 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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2026