Bret M. Evers

3.4k citations
84 papers · 2.1k · h-index 23

Impact in

  • Oncology top 10%
    • Pancreatic and Hepatic Oncology Research
    • Epigenetics and DNA Methylation
    • Gut microbiota and health

Papers in

    • PI3K/AKT/mTOR signaling in cancer 4
    • Cancer-related gene regulation 3
    • Cancer Immunotherapy and Biomarkers 4
    • Cytokine Signaling Pathways and Interactions 3

Bret M. Evers

81 papers receiving 2.1k citations

Peers

Bret M. Evers
Comparison fields: 5 of 107
  • Oncology 397
  • Molecular Biology 902
  • Cancer Research 165
  • Immunology 233
  • Cellular and Molecular Neuroscience 185
Replace Monika Beck Gooz with:
Monika Beck Gooz United States
Emanuela Grassilli Italy
Vı́ctor J. Yuste Spain
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Toru Tanaka Japan
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Citations per field
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Citations per year

Countries citing papers authored by Bret M. Evers

Since Specialization
Citations

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

Fields of papers citing papers by Bret M. Evers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bret M. Evers. 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 Bret M. Evers. The network helps show where Bret M. Evers may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Prostaglandin E2 stimulates the growth of colon cancer cells via induction of amphiregulin.
2003156
2 2004147
3 2009107
4 2011104
5 2001103
6 201796
7 202395
8 202087
9 202070
10 200469
11 200668
12 202163
13 200662
14 199259
15 200057
16 199447
17 201044
18 200541
19 200340
20 199738

About Bret M. Evers

Bret M. Evers is a scholar working on Molecular Biology, Oncology, Immunology, Surgery and Neurology, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (5 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Neuropeptides and Animal Physiology (4 papers), Alzheimer's disease research and treatments (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Cancer-related gene regulation (3 papers) and Neuroscience and Neuropharmacology Research (3 papers). The work is most often cited by research in Oncology (397 citations), Molecular Biology (902 citations), Cancer Research (165 citations), Immunology (233 citations) and Cellular and Molecular Neuroscience (185 citations). Bret M. Evers has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Piotr G. Rychahou, William Conan Mustain, Dai H. Chung, Courtney M. Townsend, Huiping Guo, Hongmiao Sheng, Sean Bong Lee, Jinyi Shao, Yuko Sugiyama and Buckminster J. Farrow. Their work appears in journals such as Gastroenterology, Nature Communications, Journal of Clinical Investigation, eLife and Ophthalmic Plastic and Reconstructive Surgery.

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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