Daniel Beauchamp

555 citations
6 papers · 432 · h-index 6

Impact in

Papers in

    • MicroRNA in disease regulation 2
    • Breast Cancer Treatment Studies 2
    • TGF-β signaling in diseases 1
    • Wnt/β-catenin signaling in development and cancer 1

Daniel Beauchamp

6 papers receiving 423 citations

Peers

Daniel Beauchamp
Comparison fields: 5 of 60
  • Cancer Research 150
  • Genetics 88
  • Pathology and Forensic Medicine 120
  • Oncology 153
  • Molecular Biology 224
Replace Barbara Martinoglio with:
Barbara Martinoglio Italy
Patricia Martin Switzerland
Manfred Schwab Germany
Lisa Evers United States
Manuel Gutiérrez Spain
Neal Fischbach United States
Jim Koh United States
Jennifer B. Edwards United States
L. Karayan-Tapon France
Anant Vinjamoori United States
Daniel Beauchamp relative to Barbara Martinoglio Italy Barbara Martinoglio's profile →
Citations per field
00.5×1.6×
Barbara Martinoglio · 1×
Citations per year

Countries citing papers authored by Daniel Beauchamp

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Beauchamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Beauchamp. 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 Daniel Beauchamp. The network helps show where Daniel Beauchamp may publish in the future.

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2016187
2
Expression of beta-catenin, alpha-catenin, and E-cadherin in Barrett's esophagus and esophageal adenocarcinomas.
199872
3 201058
4 200252
5 201052
6 200011

About Daniel Beauchamp

Daniel Beauchamp is a scholar working on Cancer Research, Molecular Biology, Surgery, Genetics and Pathology and Forensic Medicine, having authored 6 papers that have together received 432 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), Breast Cancer Treatment Studies (2 papers), Glioma Diagnosis and Treatment (2 papers), Cancer Treatment and Pharmacology (1 paper), TGF-β signaling in diseases (1 paper), Genetic factors in colorectal cancer (1 paper), Pancreatic and Hepatic Oncology Research (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Cancer Research (150 citations), Genetics (88 citations), Pathology and Forensic Medicine (120 citations), Oncology (153 citations) and Molecular Biology (224 citations). Daniel Beauchamp has collaborated with scholars based in United States and Canada. Frequent co-authors include Jonas J. Staudacher, Barbara Jung, Michael Blough, John J. Kelly, Yu Shyr, Kay Washington, David H. Johnson, Charles D. Blanke, Alberto Chiappori and Douglas S. Reintgen. Their work appears in journals such as Neuro-Oncology, Annals of Surgical Oncology, Clinical Breast Cancer, Gastroenterology and PubMed.

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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