Carrie S. Viars

1.6k citations
21 papers · 1.4k indexed · h-index 18

Carrie S. Viars

21 papers receiving 1.4k citations

Peers

Carrie S. Viars
Comparison fields: 5 of 83
  • Aging 77
  • Immunology 456
  • Molecular Biology 1.1k
  • Cancer Research 165
  • Oncology 227
Replace Janet Glassford with:
Janet Glassford United Kingdom
Hiroyuki Imaki Japan
Lynn S. White United States
Chiara Luise Italy
Nilgun Tasdemir United States
Xiaochun Ni China
Suzan Lazo-Kallanian United States
Sébastien Pinte France
Natalia Mitin United States
Alessandro Verrecchia Italy
Carrie S. Viars relative to Janet Glassford United Kingdom Janet Glassford's profile →
Citations per field
00.5×1.6×
Janet Glassford · 1×
Citations per year

Countries citing papers authored by Carrie S. Viars

Since Specialization
Citations

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

Fields of papers citing papers by Carrie S. Viars

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carrie S. Viars. 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 Carrie S. Viars. The network helps show where Carrie S. Viars may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200419
2 200313
3 200241
4 200239
5
Functional genomic comparison of lineage-related human bladder cancer cell lines with differing tumorigenic and metastatic potentials by spectral karyotyping, comparative genomic hybridization, and a novel method of positional expression profiling.
200250
6 200046
7 2000106
8
Gure, A. O. et al. CT10: a new cancer-testis (CT) antigen homologous to CT7 and the MAGE family, identified by representational-difference analysis. Int. J. Cancer 85, 726-732
200027
9 199952
10 199917
11 199935
12 199836
13 1998304
14
Identification of a new MAGE gene with tumor-specific expression by representational difference analysis.
1998165
15
Identification of a human gene encoding a homologue of Saccharomyces cerevisiae EXO1, an exonuclease implicated in mismatch repair and recombination.
1998133
16 199733
17 199781
18 199515
19 199519
20 199512

About Carrie S. Viars

Carrie S. Viars is a scholar working on Molecular Biology, Genetics and Immunology, having authored 21 papers that have together received 1.4k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (5 papers), Genetic factors in colorectal cancer (4 papers), Genomic variations and chromosomal abnormalities (4 papers), RNA and protein synthesis mechanisms (4 papers), RNA Research and Splicing (4 papers), Glycosylation and Glycoproteins Research (3 papers), RNA Interference and Gene Delivery (3 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Aging (77 citations), Immunology (456 citations) and Molecular Biology (1.1k citations). Carrie S. Viars has collaborated with scholars based in United States, Belgium and Canada. Frequent co-authors include Karen C. Arden, Michael J. Anderson, Webster K. Cavenee, Charles De Smet, Lloyd J. Old, Thierry Boon, Antonia Boyer, Nikhil Amin, Daniel X. Tishkoff and Richard D. Kolodner. Their work appears in journals such as Journal of Biological Chemistry, Oncogene and Diabetologia.

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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