C. Ted Rigl

967 citations
12 papers · 691 · h-index 8

Impact in

Papers in

    • Molecular Biology Techniques and Applications 3
    • Gene expression and cancer classification 2
    • Glycosylation and Glycoproteins Research 2
    • Advanced Biosensing Techniques and Applications 2
    • Tumors and Oncological Cases 4

C. Ted Rigl

12 papers receiving 663 citations

Peers

C. Ted Rigl
Comparison fields: 5 of 69
  • Oral Surgery 130
  • Pathology and Forensic Medicine 191
  • Endocrinology, Diabetes and Metabolism 174
  • Oncology 265
  • Cancer Research 109
Replace Hideaki Mitsui with:
Hideaki Mitsui Japan
D. Hungermann Germany
Andrea Emanuele Guerini Italy
Claudia Vollbrecht Germany
Navonil De Sarkar United States
Yifan Yang China
Anya M. Litvak United States
Bradley M. Turner United States
Benjamin D. Li United States
C. Ted Rigl relative to Hideaki Mitsui Japan Hideaki Mitsui's profile →
Citations per field
00.5×10×14.4×
Hideaki Mitsui · 1×
Citations per year

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-authors

The 25 scholars most cited alongside C. Ted Rigl, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with C. Ted Rigl Line = papers co-authored together C. Ted Rigl links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2010192
2 2009137
3 201196
4 200380
5 200776
6 200762
7 199729
8 20097
9 19865
10
Automated quantification of thyrotropin by radial partition immunoassay.
19884
11 19882
12 20091

About C. Ted Rigl

C. Ted Rigl is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Oncology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 691 indexed citations. Recurring topics across this work include Cancer Diagnosis and Treatment (4 papers), Tumors and Oncological Cases (4 papers), Molecular Biology Techniques and Applications (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Oral and Maxillofacial Pathology (2 papers), Gene expression and cancer classification (2 papers), Glycosylation and Glycoproteins Research (2 papers) and Advanced Biosensing Techniques and Applications (2 papers). The work is most often cited by research in Oral Surgery (130 citations), Pathology and Forensic Medicine (191 citations), Endocrinology, Diabetes and Metabolism (174 citations), Oncology (265 citations) and Cancer Research (109 citations). C. Ted Rigl has collaborated with scholars based in United States and Italy. Frequent co-authors include Glenda G. Anderson, Ljubomir Buturović, W. David Henner, Fabíola Medeiros, W. David Wilson, Federico A. Monzon, Farial A. Tanious, Catherine I. Dumur, Maureen A. Lyons‐Weiler and Christin Sciulli. Their work appears in journals such as Journal of Clinical Oncology, Clinical Chemistry, Journal of Molecular Diagnostics, Archives of Pathology & Laboratory Medicine and Biochemistry.

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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