Carleton T. Garrett

3.5k citations
85 papers · 2.7k · h-index 29

Impact in

Papers in

    • Molecular Biology Techniques and Applications 11
    • Gene expression and cancer classification 7
    • RNA modifications and cancer 7
    • RNA Research and Splicing 6
    • Cytomegalovirus and herpesvirus research 7

Carleton T. Garrett

85 papers receiving 2.5k citations

Peers

Carleton T. Garrett
Comparison fields: 5 of 134
  • Hepatology 214
  • Virology 133
  • Nephrology 138
  • Obstetrics and Gynecology 139
  • Cancer Research 277
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Frank Christiansen Australia
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Citations per year

Countries citing papers authored by Carleton T. Garrett

Since Specialization
Citations

This map shows the geographic impact of Carleton T. Garrett'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 Carleton T. Garrett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carleton T. Garrett more than expected).

Fields of papers citing papers by Carleton T. Garrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carleton T. Garrett. 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 Carleton T. Garrett. The network helps show where Carleton T. Garrett may publish in the future.

Co-authors

The 25 scholars most cited alongside Carleton T. Garrett, 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 Carleton T. Garrett Line = papers co-authored together Carleton T. Garrett links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999191
2 1997134
3 2005126
4 1993114
5 1990113
6 1992103
7 198198
8 199392
9
Prognostic significance of p53 overexpression in endometrial cancer.
199492
10 200486
11 200373
12 199168
13
Clinical implications of K-ras mutations in malignant epithelial tumors of the endometrium.
199264
14 200762
15 199160
16
Expression of int-2 mRNA in human tumors amplified at the int-2 locus.
198958
17 199057
18 200655
19 199548
20 199546

About Carleton T. Garrett

Carleton T. Garrett is a scholar working on Molecular Biology, Epidemiology, Cancer Research, Pathology and Forensic Medicine and Oncology, having authored 85 papers that have together received 2.7k indexed citations. Recurring topics across this work include Molecular Biology Techniques and Applications (11 papers), Gene expression and cancer classification (7 papers), Cytomegalovirus and herpesvirus research (7 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (6 papers), Cancer Genomics and Diagnostics (5 papers), Cancer-related Molecular Pathways (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Hepatology (214 citations), Virology (133 citations), Nephrology (138 citations), Obstetrics and Gynecology (139 citations) and Cancer Research (277 citations). Carleton T. Garrett has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Andrea Ferreira‐Gonzalez, David S. Wilkinson, Catherine I. Dumur, Paul L. Kimmel, Tünde Farkas-Szallasi, Anthony B. DeAngelo, R Stanhope, Susan Price, Richard C. Trembath and Michael A. Preece. Their work appears in journals such as Analytical Biochemistry, Diagnostic Molecular Pathology, Cancer, American Journal of Clinical Pathology and Molecular Diagnosis.

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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