Robert T. Cormier

1.9k citations
28 papers · 1.5k · h-index 18

Impact in

Papers in

Robert T. Cormier

26 papers receiving 1.5k citations

Peers

Robert T. Cormier
Comparison fields: 5 of 102
  • Cancer Research 275
  • Pathology and Forensic Medicine 236
  • Oncology 330
  • Molecular Biology 878
  • Genetics 247
Replace Xiaotan T. Qiao with:
Xiaotan T. Qiao United States
Ruchika Gangwar India
Toshiyuki Tsunoda Japan
Zhi‐Feng Miao China
Shunqian Jin United States
Maria Concetta Faniello Italy
Chun‐Ping Cui China
Pietro Zoppoli Italy
Jian Wu China
Yoshiji Miyazaki Japan
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Citations per field
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Xiaotan T. Qiao · 1×
Citations per year

Countries citing papers authored by Robert T. Cormier

Since Specialization
Citations

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

Fields of papers citing papers by Robert T. Cormier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997264
2 2009263
3 2019149
4 201695
5 200888
6 200080
7 200673
8 202066
9 201157
10
Dnmt1N/+ reduces the net growth rate and multiplicity of intestinal adenomas in C57BL/6-multiple intestinal neoplasia (Min)/+ mice independently of p53 but demonstrates strong synergy with the modifier of Min 1(AKR) resistance allele.
200055
11 199841
12 201136
13 201233
14 201632
15 200921
16 201220
17 200820
18 202219
19 201617
20 200914

About Robert T. Cormier

Robert T. Cormier is a scholar working on Molecular Biology, Pathology and Forensic Medicine, Cancer Research, Surgery and Oncology, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (5 papers), Cancer-related gene regulation (3 papers), Cancer Genomics and Diagnostics (2 papers), Cancer-related Molecular Pathways (2 papers), Helicobacter pylori-related gastroenterology studies (2 papers), Cancer Cells and Metastasis (2 papers), Hedgehog Signaling Pathway Studies (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Cancer Research (275 citations), Pathology and Forensic Medicine (236 citations), Oncology (330 citations), Molecular Biology (878 citations) and Genetics (247 citations). Robert T. Cormier has collaborated with scholars based in United States, Netherlands and China. Frequent co-authors include Patricia M. Scott, William F. Dove, Kyle Anderson, Richard B. Halberg, Karen Hong, Ilze Matise, Rita Mulherkar, Eric S. Lander, Paul Richardson and Trevor Hawkins. Their work appears in journals such as Cancer Research, International Journal of Cancer, Journal of Personalized Medicine, Diseases of the Esophagus and Nucleic Acids Research.

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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