Carol Beadling

4.9k total citations
65 papers, 3.0k citations indexed

About

Carol Beadling is a scholar working on Molecular Biology, Cancer Research and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Carol Beadling has authored 65 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 25 papers in Cancer Research and 21 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Carol Beadling's work include Cancer Genomics and Diagnostics (16 papers), Breast Lesions and Carcinomas (8 papers) and Gastrointestinal Tumor Research and Treatment (8 papers). Carol Beadling is often cited by papers focused on Cancer Genomics and Diagnostics (16 papers), Breast Lesions and Carcinomas (8 papers) and Gastrointestinal Tumor Research and Treatment (8 papers). Carol Beadling collaborates with scholars based in United States, United Kingdom and India. Carol Beadling's co-authors include Mark K. Slifka, Christopher L. Corless, Andrea Warrick, Michael C. Heinrich, Doreen A. Cantrell, Kendall A. Smith, Tanaya Neff, Janice Patterson, Dmitry Guschin and Ian M. Kerr and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and The Journal of Experimental Medicine.

In The Last Decade

Carol Beadling

65 papers receiving 3.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carol Beadling United States 30 1.3k 1.1k 927 644 641 65 3.0k
Julia Y. Tsang Hong Kong 29 1.3k 1.1× 1.1k 1.1× 1.1k 1.2× 473 0.7× 794 1.2× 115 3.5k
Yutaka Suehiro Japan 36 1.4k 1.1× 1.6k 1.5× 628 0.7× 495 0.8× 771 1.2× 144 3.5k
Michael Geißler Germany 34 1.5k 1.2× 775 0.7× 818 0.9× 785 1.2× 352 0.5× 151 3.5k
Scott W. Binder United States 30 1.2k 1.0× 888 0.8× 1.0k 1.1× 472 0.7× 320 0.5× 89 3.8k
Joost van Gorp Netherlands 22 2.3k 1.8× 1.3k 1.2× 349 0.4× 633 1.0× 854 1.3× 42 4.2k
Jean‐François Mosnier France 31 825 0.7× 917 0.9× 716 0.8× 316 0.5× 337 0.5× 124 3.4k
Chris M. Bacon United Kingdom 33 2.0k 1.6× 797 0.7× 2.1k 2.3× 202 0.3× 514 0.8× 70 4.3k
Serhan Alkan United States 30 1.2k 0.9× 1.3k 1.2× 478 0.5× 217 0.3× 245 0.4× 104 3.3k
Howard Streicher United States 27 1.8k 1.4× 910 0.8× 1.2k 1.3× 760 1.2× 217 0.3× 105 3.5k
Frank Leithäuser Germany 35 990 0.8× 1.7k 1.6× 1.8k 1.9× 185 0.3× 410 0.6× 79 4.0k

Countries citing papers authored by Carol Beadling

Since Specialization
Citations

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

Fields of papers citing papers by Carol Beadling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Beadling

This figure shows the co-authorship network connecting the top 25 collaborators of Carol Beadling. A scholar is included among the top collaborators of Carol Beadling 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 Carol Beadling. Carol Beadling 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.
Wood, Matthew D., Carol Beadling, Tanaya Neff, et al.. (2023). Molecular profiling of pre- and post-treatment pediatric high-grade astrocytomas reveals acquired increased tumor mutation burden in a subset of recurrences. Acta Neuropathologica Communications. 11(1). 143–143. 3 indexed citations
2.
Li, Allen, Jamie M. Keck, Swapnil Parmar, et al.. (2021). Characterizing advanced breast cancer heterogeneity and treatment resistance through serial biopsies and comprehensive analytics. npj Precision Oncology. 5(1). 28–28. 23 indexed citations
3.
Forquer, Isaac, Ajia Town, Lillian R. Klug, et al.. (2017). Biochemical, Molecular, and Clinical Characterization of Succinate Dehydrogenase Subunit A Variants of Unknown Significance. Clinical Cancer Research. 23(21). 6733–6743. 11 indexed citations
4.
Wang, Ying, Carol Beadling, Andrea Warrick, et al.. (2017). Durable Response to Afatinib in Lung Adenocarcinoma Harboring NRG1 Gene Fusions. Journal of Thoracic Oncology. 12(8). e107–e110. 56 indexed citations
5.
Klug, Lillian R., Janice Patterson, Diana Griffith, et al.. (2014). Combination Therapy for KIT -Mutant Mast Cells: Targeting Constitutive NFAT and KIT Activity. Molecular Cancer Therapeutics. 13(12). 2840–2851. 6 indexed citations
6.
Ang, Daphne, Carol Beadling, Andrea Warrick, et al.. (2014). Novel Mutations in Neuroendocrine Carcinoma of the Breast. Applied immunohistochemistry & molecular morphology. 23(2). 97–103. 44 indexed citations
7.
Tseng, Diane, Julie Kim, Andrea Warrick, et al.. (2014). Oncogenic mutations in melanomas and benign melanocytic nevi of the female genital tract. Journal of the American Academy of Dermatology. 71(2). 229–236. 26 indexed citations
8.
Barnett, Christine M., Michael C. Heinrich, Jeong Ho Lim, et al.. (2013). Genetic Profiling to Determine Risk of Relapse-Free Survival in High-Risk Localized Prostate Cancer. Clinical Cancer Research. 20(5). 1306–1312. 19 indexed citations
9.
Ang, Daphne, et al.. (2013). Frequent phosphatidylinositol-3-kinase mutations in proliferative breast lesions. Modern Pathology. 27(5). 740–750. 35 indexed citations
10.
Ang, Daphne, et al.. (2013). Frequent PIK3CA Mutations in Radial Scars. Diagnostic Molecular Pathology. 22(4). 210–214. 15 indexed citations
11.
Ang, Daphne, et al.. (2013). Novel Method for PIK3CA Mutation Analysis. Journal of Molecular Diagnostics. 15(3). 312–318. 22 indexed citations
12.
Kehr, Elizabeth, Julie M. Jorns, Daphne Ang, et al.. (2012). Mucinous breast carcinomas lack PIK3CA and AKT1 mutations. Human Pathology. 43(12). 2207–2212. 31 indexed citations
13.
Beadling, Carol, Tanaya Neff, Michael C. Heinrich, et al.. (2012). Combining Highly Multiplexed PCR with Semiconductor-Based Sequencing for Rapid Cancer Genotyping. Journal of Molecular Diagnostics. 15(2). 171–176. 91 indexed citations
14.
Raué, Hans-Peter, et al.. (2012). Cytokine-Mediated Programmed Proliferation of Virus-Specific CD8+ Memory T Cells. Immunity. 38(1). 131–139. 71 indexed citations
15.
Troxell, Megan L., Alayne Brunner, Tanaya Neff, et al.. (2012). Phosphatidylinositol-3-kinase pathway mutations are common in breast columnar cell lesions. Modern Pathology. 25(7). 930–937. 33 indexed citations
16.
Warrick, Andrea, et al.. (2012). BRAF and KRAS Mutations in Sporadic Glomus Tumors. American Journal of Dermatopathology. 34(5). 533–535. 35 indexed citations
17.
Beadling, Carol & Mark K. Slifka. (2006). Regulation of innate and adaptive immune responses by the related cytokines IL-12, IL-23, and IL-27. Archivum Immunologiae et Therapiae Experimentalis. 54(1). 15–24. 74 indexed citations
18.
Beadling, Carol & Mark K. Slifka. (2004). How do viral infections predispose patients to bacterial infections?. Current Opinion in Infectious Diseases. 17(3). 185–191. 144 indexed citations
19.
20.

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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