Renata A. Coudry

1.8k citations
37 papers · 1.4k · h-index 20

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Lipids, and Metabolism
  • Oncology top 5%
    • HER2/EGFR in Cancer Research

Papers in

Renata A. Coudry

35 papers receiving 1.4k citations

Peers

Renata A. Coudry
Comparison fields: 5 of 84
  • Cancer Research 338
  • Oncology 497
  • Pulmonary and Respiratory Medicine 417
  • Pathology and Forensic Medicine 140
  • Hepatology 53
Replace Tae-You Kim with:
Tae-You Kim South Korea
Thomas B. Karasic United States
Chee Wee Ong Singapore
Valentina Gambardella Spain
Bunzo Nakata Japan
K. D. Danenberg United States
Itzhak Avital United States
Vanessa Deschoolmeester Belgium
Maruja E. Lira United States
Giorgia Migliardi Italy
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Citations per field
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Citations per year

Countries citing papers authored by Renata A. Coudry

Since Specialization
Citations

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

Fields of papers citing papers by Renata A. Coudry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Renata A. Coudry. 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 Renata A. Coudry. The network helps show where Renata A. Coudry may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007231
2 2013231
3 2008218
4 200778
5 200862
6 201760
7 200755
8 201253
9 201652
10 200945
11 201640
12 201340
13 201638
14 200834
15 200531
16 201131
17 200726
18 201123
19 201221
20 201119

About Renata A. Coudry

Renata A. Coudry is a scholar working on Oncology, Pathology and Forensic Medicine, Cancer Research, Surgery and Pulmonary and Respiratory Medicine, having authored 37 papers that have together received 1.4k indexed citations. Recurring topics across this work include Genetic factors in colorectal cancer (10 papers), Cancer Genomics and Diagnostics (7 papers), Colorectal and Anal Carcinomas (6 papers), Cervical Cancer and HPV Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Colorectal Cancer Treatments and Studies (3 papers), Gene expression and cancer classification (2 papers) and BRCA gene mutations in cancer (2 papers). The work is most often cited by research in Cancer Research (338 citations), Oncology (497 citations), Pulmonary and Respiratory Medicine (417 citations), Pathology and Forensic Medicine (140 citations) and Hepatology (53 citations). Renata A. Coudry has collaborated with scholars based in Brazil, United States and Canada. Frequent co-authors include Fernando Augusto Soares, Isabela Werneck da Cunha, Jeremy A. Squire, Maisa Yoshimoto, F.P. Fonseca, Harry S. Cooper, César Torres, Margie L. Clapper, Wedad Hanna and Josef Rüschoff. Their work appears in journals such as Journal of Clinical Oncology, Cancer Research, International Journal of Colorectal Disease, Modern Pathology and Gene.

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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