John D. Carpten

30.0k total citations · 4 hit papers
183 papers, 9.4k citations indexed

About

John D. Carpten is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, John D. Carpten has authored 183 papers receiving a total of 9.4k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Molecular Biology, 59 papers in Pulmonary and Respiratory Medicine and 55 papers in Cancer Research. Recurrent topics in John D. Carpten's work include Prostate Cancer Treatment and Research (43 papers), Cancer Genomics and Diagnostics (41 papers) and Multiple Myeloma Research and Treatments (20 papers). John D. Carpten is often cited by papers focused on Prostate Cancer Treatment and Research (43 papers), Cancer Genomics and Diagnostics (41 papers) and Multiple Myeloma Research and Treatments (20 papers). John D. Carpten collaborates with scholars based in United States, Sweden and United Kingdom. John D. Carpten's co-authors include Jeffrey R. Smith, Michael Brownstein, David W. Craig, Jeffrey M. Trent, Sara A. Byron, Christiane M. Robbins, David M. Engelthaler, Kendall Van Keuren‐Jensen, Rafaël Fonseca and Gregory D. Jay and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

John D. Carpten

174 papers receiving 9.2k citations

Hit Papers

Modulation of Non-Templated Nucleotide Addition by Taq DN... 1996 2026 2006 2016 1996 2016 2012 2012 250 500 750 1000

Peers

John D. Carpten
David A. Largaespada United States
Jan Kitajewski United States
Károly Szuhai Netherlands
Rudi W. Hendriks Netherlands
John D. Carpten
Citations per year, relative to John D. Carpten John D. Carpten (= 1×) peers Magnus Nordenskjöld

Countries citing papers authored by John D. Carpten

Since Specialization
Citations

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

Fields of papers citing papers by John D. Carpten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John D. Carpten. 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 John D. Carpten. The network helps show where John D. Carpten may publish in the future.

Co-authorship network of co-authors of John D. Carpten

This figure shows the co-authorship network connecting the top 25 collaborators of John D. Carpten. A scholar is included among the top collaborators of John D. Carpten 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 John D. Carpten. John D. Carpten 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.
Levine, Arnold J., John D. Carpten, Maureen E. Murphy, & Pierre Hainaut. (2023). Exploring the genetic and molecular basis of differences in multiple myeloma of individuals of African and European descent. Cell Death and Differentiation. 31(1). 1–8. 3 indexed citations
2.
Chen, James L., Aakrosh Ratan, Martin D. McCarter, et al.. (2023). The T Cell Immunoscore as a Reference for Biomarker Development Utilizing Real-World Data from Patients with Advanced Malignancies Treated with Immune Checkpoint Inhibitors. Cancers. 15(20). 4913–4913. 5 indexed citations
3.
Shen, Hua, Per Flodby, Rania Bassiouni, et al.. (2023). Alveolar type I cells can give rise to KRAS-induced lung adenocarcinoma. Cell Reports. 42(12). 113286–113286. 7 indexed citations
4.
Wang, Xuefeng, Vineeth Sukrithan, Aakrosh Ratan, et al.. (2023). Incorporating long non-coding RNA (lncRNA) into genome-wide biomarker screening for prognostic gene signatures of immunotherapy outcomes.. Journal of Clinical Oncology. 41(16_suppl). 2617–2617. 2 indexed citations
5.
Bassiouni, Rania, Michael O. Idowu, Lee D. Gibbs, et al.. (2022). Spatial Transcriptomic Analysis of a Diverse Patient Cohort Reveals a Conserved Architecture in Triple-Negative Breast Cancer. Cancer Research. 83(1). 34–48. 46 indexed citations
6.
Bassiouni, Rania, Lee D. Gibbs, David W. Craig, John D. Carpten, & Troy A. McEachron. (2021). Applicability of spatial transcriptional profiling to cancer research. Molecular Cell. 81(8). 1631–1639. 38 indexed citations
7.
Xu, Yucheng, Eric S. C. Kwok, Tanya B. Dorff, et al.. (2020). Cancer transcriptomic profiling from rapidly enriched circulating tumor cells. International Journal of Cancer. 146(10). 2845–2854. 8 indexed citations
8.
Weiss, Glen J., Sara A. Byron, Jessica Aldrich, et al.. (2017). A prospective pilot study of genome-wide exome and transcriptome profiling in patients with small cell lung cancer progressing after first-line therapy. PLoS ONE. 12(6). e0179170–e0179170. 8 indexed citations
9.
Mundbjerg, Kamilla, Sameer Chopra, Mehrdad Alemozaffar, et al.. (2017). Identifying aggressive prostate cancer foci using a DNA methylation classifier. Genome biology. 18(1). 3–3. 43 indexed citations
10.
Ooi, Aikseng, Karl Dykema, Asif Ansari, et al.. (2013). CUL3 and NRF2 Mutations Confer an NRF2 Activation Phenotype in a Sporadic Form of Papillary Renal Cell Carcinoma. Cancer Research. 73(7). 2044–2051. 121 indexed citations
11.
Keats, Jonathan J., Marta Chesi, Jan B. Egan, et al.. (2012). Clonal competition with alternating dominance in multiple myeloma. Blood. 120(5). 1067–1076. 456 indexed citations breakdown →
12.
Ruiz, Christian, Elizabeth Lenkiewicz, Lisa Evers, et al.. (2011). Advancing a clinically relevant perspective of the clonal nature of cancer. Proceedings of the National Academy of Sciences. 108(29). 12054–12059. 90 indexed citations
13.
Bock, Cathryn H., Isaac J. Powell, Rick A. Kittles, Ann W. Hsing, & John D. Carpten. (2011). Racial Disparities in Prostate Cancer Incidence, Biochemical Recurrence, and Mortality. SHILAP Revista de lepidopterología. 2011. 1–2. 14 indexed citations
14.
Salhia, Bodour, Angela Baker, Gregory Ahmann, et al.. (2010). DNA Methylation Analysis Determines the High Frequency of Genic Hypomethylation and Low Frequency of Hypermethylation Events in Plasma Cell Tumors. Cancer Research. 70(17). 6934–6944. 42 indexed citations
15.
Hsu, Fang‐Chi, Jielin Sun, Fredrik Wiklund, et al.. (2009). A Novel Prostate Cancer Susceptibility Locus at 19q13. Cancer Research. 69(7). 2720–2723. 36 indexed citations
16.
Liu, Wennuan, Jishan Sun, Ge Li, et al.. (2009). Association of a Germ-Line Copy Number Variation at 2p24.3 and Risk for Aggressive Prostate Cancer. Cancer Research. 69(6). 2176–2179. 58 indexed citations
17.
Sun, Jielin, Siqun L. Zheng, Fredrik Wiklund, et al.. (2008). Sequence Variants at 22q13 Are Associated with Prostate Cancer Risk. Cancer Research. 69(1). 10–15. 79 indexed citations
18.
Chng, Wee Joo, Shaji Kumar, Scott VanWier, et al.. (2007). Molecular Dissection of Hyperdiploid Multiple Myeloma by Gene Expression Profiling. Cancer Research. 67(7). 2982–2989. 195 indexed citations
19.
Rhee, David K., José Roberto Marcelino, Patrick Smits, et al.. (2005). The secreted glycoprotein lubricin protects cartilage surfaces and inhibits synovial cell overgrowth. Journal of Clinical Investigation. 115(3). 622–631. 404 indexed citations
20.
Lee, Mi‐Hye, Starr Hazard, John D. Carpten, et al.. (2001). Fine-mapping, mutation analyses, and structural mapping of cerebrotendinous xanthomatosis in U.S. pedigrees. Journal of Lipid Research. 42(2). 159–169. 56 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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