Charles Scafe

1.3k total citations
10 papers, 603 citations indexed

About

Charles Scafe is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Charles Scafe has authored 10 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Charles Scafe's work include Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (2 papers) and Cancer Cells and Metastasis (2 papers). Charles Scafe is often cited by papers focused on Cancer Genomics and Diagnostics (3 papers), BRCA gene mutations in cancer (2 papers) and Cancer Cells and Metastasis (2 papers). Charles Scafe collaborates with scholars based in United States, Japan and Israel. Charles Scafe's co-authors include Mark A. Tanouye, Daria S. Hekmat‐Scafe, Aimee McKinney, Milan Radovich, Bradley A. Hancock, Kathy D. Miller, Jeffrey P. Solzak, Dumitru Brinza, Francisco M. De La Vega and Maki Moritani and has published in prestigious journals such as Cancer Research, Genome Research and Breast Cancer Research.

In The Last Decade

Charles Scafe

10 papers receiving 597 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Charles Scafe United States 7 351 255 248 189 105 10 603
Ivette F. Emery United States 11 287 0.8× 44 0.2× 96 0.4× 200 1.1× 31 0.3× 17 575
Janko Gospočić United States 8 141 0.4× 83 0.3× 176 0.7× 242 1.3× 33 0.3× 10 602
Seula Shin United States 5 131 0.4× 60 0.2× 81 0.3× 129 0.7× 68 0.6× 6 345
Andrés Dekanty Argentina 14 142 0.4× 43 0.2× 97 0.4× 388 2.1× 158 1.5× 24 671
Diana M. Vallejo Spain 8 145 0.4× 33 0.1× 70 0.3× 411 2.2× 132 1.3× 8 621
Maria Sol Flaherty United States 12 236 0.7× 77 0.3× 122 0.5× 502 2.7× 43 0.4× 12 833
Elizabeth Hirst United Kingdom 8 54 0.2× 40 0.2× 122 0.5× 391 2.1× 68 0.6× 9 576
Andriy S. Yatsenko Germany 14 178 0.5× 42 0.2× 86 0.3× 362 1.9× 45 0.4× 21 547
Jerell R. Aguila United States 8 114 0.3× 85 0.3× 53 0.2× 269 1.4× 13 0.1× 8 493
Joël Silber France 14 118 0.3× 25 0.1× 100 0.4× 678 3.6× 33 0.3× 35 943

Countries citing papers authored by Charles Scafe

Since Specialization
Citations

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

Fields of papers citing papers by Charles Scafe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Scafe

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

All Works

10 of 10 papers shown
1.
2.
Hancock, Bradley A., Jeffrey P. Solzak, David C. Wedge, et al.. (2019). Profiling molecular regulators of recurrence in chemorefractory triple-negative breast cancers. Breast Cancer Research. 21(1). 87–87. 23 indexed citations
3.
Lee, Ahwon, Jun Kang, Youn Soo Lee, et al.. (2019). BRCA1/2 somatic mutation detection in formalin-fixed paraffin embedded tissue by next-generation sequencing in Korean ovarian cancer patients. Pathology - Research and Practice. 215(11). 152595–152595. 4 indexed citations
4.
Hancock, Bradley A., Jeffrey P. Solzak, Dumitru Brinza, et al.. (2017). Next-generation sequencing of circulating tumor DNA to predict recurrence in triple-negative breast cancer patients with residual disease after neoadjuvant chemotherapy. npj Breast Cancer. 3(1). 24–24. 93 indexed citations
5.
Brinza, Dumitru, Dalia Dhingra, Charles Scafe, Richard Chien, & Fiona Hyland. (2015). Abstract 2402: A research approach for the detection of somatic mutations at 0.5% frequency from cfDNA and cTc DNA using a multiplex sequencing assay targeting 2000 tumor mutations. Cancer Research. 75(15_Supplement). 2402–2402. 1 indexed citations
6.
Takata, Yoichiro, Daisuke Hamada, Shunji Nakano, et al.. (2006). Genetic association between the PRKCH gene encoding protein kinase Cη isozyme and rheumatoid arthritis in the Japanese population. Arthritis & Rheumatism. 56(1). 30–42. 30 indexed citations
7.
8.
Hamada, Daisuke, Yoichiro Takata, Kyoko Nomura, et al.. (2005). Association between single‐nucleotide polymorphisms in the SEC8L1 gene, which encodes a subunit of the exocyst complex, and rheumatoid arthritis in a Japanese population. Arthritis & Rheumatism. 52(5). 1371–1380. 15 indexed citations
9.
Vega, Francisco M. De La, et al.. (2005). A TOOL FOR SELECTING SNPS FOR ASSOCIATION STUDIES BASED ON OBSERVED LINKAGE DISEQUILIBRIUM PATTERNS. PubMed. 487–498. 37 indexed citations
10.
Hekmat‐Scafe, Daria S., Charles Scafe, Aimee McKinney, & Mark A. Tanouye. (2002). Genome-Wide Analysis of the Odorant-Binding Protein Gene Family in Drosophila melanogaster. Genome Research. 12(9). 1357–1369. 378 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