C. Ted Rigl

967 total citations
12 papers, 691 citations indexed

About

C. Ted Rigl is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Oncology. According to data from OpenAlex, C. Ted Rigl has authored 12 papers receiving a total of 691 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Pathology and Forensic Medicine and 4 papers in Oncology. Recurrent topics in C. Ted Rigl's work include Tumors and Oncological Cases (4 papers), Cancer Diagnosis and Treatment (4 papers) and Molecular Biology Techniques and Applications (3 papers). C. Ted Rigl is often cited by papers focused on Tumors and Oncological Cases (4 papers), Cancer Diagnosis and Treatment (4 papers) and Molecular Biology Techniques and Applications (3 papers). C. Ted Rigl collaborates with scholars based in United States and Italy. C. Ted Rigl's co-authors include Glenda G. Anderson, Ljubomir Buturović, W. David Henner, Fabíola Medeiros, W. David Wilson, Federico A. Monzon, Farial A. Tanious, Maureen A. Lyons‐Weiler, Catherine I. Dumur and Christin Sciulli and has published in prestigious journals such as Journal of Clinical Oncology, The Journal of Clinical Endocrinology & Metabolism and Biochemistry.

In The Last Decade

C. Ted Rigl

12 papers receiving 663 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
C. Ted Rigl United States 8 265 246 191 174 130 12 691
Hideaki Mitsui Japan 18 320 1.2× 393 1.6× 38 0.2× 40 0.2× 9 0.1× 47 863
D. Hungermann Germany 11 265 1.0× 173 0.7× 136 0.7× 9 0.1× 12 0.1× 23 555
Claudia Vollbrecht Germany 20 378 1.4× 315 1.3× 99 0.5× 7 0.0× 27 0.2× 45 820
Andrea Emanuele Guerini Italy 9 119 0.4× 76 0.3× 45 0.2× 40 0.2× 12 0.1× 33 370
Anya M. Litvak United States 12 596 2.2× 233 0.9× 85 0.4× 32 0.2× 4 0.0× 15 900
Maurizio Puccetti Italy 14 278 1.0× 142 0.6× 44 0.2× 26 0.1× 4 0.0× 44 598
Yifan Yang China 14 154 0.6× 265 1.1× 26 0.1× 12 0.1× 9 0.1× 71 535
Wei Qi Li Australia 7 358 1.4× 192 0.8× 230 1.2× 17 0.1× 3 0.0× 7 519
Benjamin D. Li United States 10 134 0.5× 306 1.2× 70 0.4× 14 0.1× 3 0.0× 15 519

Countries citing papers authored by C. Ted Rigl

Since Specialization
Citations

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

Fields of papers citing papers by C. Ted Rigl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Ted Rigl. 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 C. Ted Rigl. The network helps show where C. Ted Rigl may publish in the future.

Co-authorship network of co-authors of C. Ted Rigl

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

All Works

12 of 12 papers shown
1.
Pillai, Raji, et al.. (2011). Validation and Reproducibility of a Microarray-Based Gene Expression Test for Tumor Identification in Formalin-Fixed, Paraffin-Embedded Specimens. Journal of Molecular Diagnostics. 13(1). 48–56. 96 indexed citations
2.
Chudova, Darya, Jonathan I. Wilde, Eric T. Wang, et al.. (2010). Molecular Classification of Thyroid Nodules Using High-Dimensionality Genomic Data. The Journal of Clinical Endocrinology & Metabolism. 95(12). 5296–5304. 192 indexed citations
3.
Pillai, Raji, et al.. (2009). Validation of a microarray-based gene expression test for tumors with uncertain origins using formalin-fixed paraffin-embedded (FFPE) specimens. Journal of Clinical Oncology. 27(15_suppl). e22015–e22015. 7 indexed citations
4.
Monzon, Federico A., et al.. (2009). Reply to G.R. Varadhachary et al. Journal of Clinical Oncology. 27(25). e87–e88. 1 indexed citations
5.
Monzon, Federico A., Maureen A. Lyons‐Weiler, Ljubomir Buturović, et al.. (2009). Multicenter Validation of a 1,550-Gene Expression Profile for Identification of Tumor Tissue of Origin. Journal of Clinical Oncology. 27(15). 2503–2508. 137 indexed citations
6.
Dumur, Catherine I., Maureen A. Lyons‐Weiler, Christin Sciulli, et al.. (2007). Interlaboratory Performance of a Microarray-Based Gene Expression Test to Determine Tissue of Origin in Poorly Differentiated and Undifferentiated Cancers. Journal of Molecular Diagnostics. 10(1). 67–77. 62 indexed citations
7.
Medeiros, Fabíola, et al.. (2007). Tissue Handling for Genome-Wide Expression Analysis: A Review of the Issues, Evidence, and Opportunities. Archives of Pathology & Laboratory Medicine. 131(12). 1805–1816. 76 indexed citations
8.
Wilson, W. David, et al.. (2003). Evaluation of Drug–Nucleic Acid Interactions by Thermal Melting Curves. Humana Press eBooks. 90. 219–240. 80 indexed citations
10.
Rigl, C. Ted, et al.. (1988). Automated quantification of thyrotropin by radial partition immunoassay.. Clinical Chemistry. 34(1). 118–122. 2 indexed citations
11.
Rigl, C. Ted, et al.. (1988). Automated quantification of thyrotropin by radial partition immunoassay.. PubMed. 34(1). 118–22. 4 indexed citations
12.
Rigl, C. Ted, et al.. (1986). Radial partition immunoassay applied to automated quantification of human choriogonadotropin with use of two monoclonal antibodies.. Clinical Chemistry. 32(10). 1844–1848. 5 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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