Cath Trigwell

588 citations
9 papers · 365 · h-index 6

Impact in

    • HER2/EGFR in Cancer Research
    • Chronic Lymphocytic Leukemia Research

Papers in

    • HER2/EGFR in Cancer Research 5
    • Cancer Treatment and Pharmacology 2
    • Colorectal Cancer Treatments and Studies 1
    • Lung Cancer Treatments and Mutations 2
    • Advanced Breast Cancer Therapies 2

Cath Trigwell

9 papers receiving 357 citations

Peers

Cath Trigwell
Comparison fields: 5 of 50
  • Oncology 150
  • Genetics 53
  • Pulmonary and Respiratory Medicine 136
  • Cancer Research 52
  • Molecular Biology 220
Replace Donna-Michelle Smith with:
Donna-Michelle Smith United Kingdom
Gianmarco Motta Italy
Jeff Kucharski United States
Woody Han United States
Neil T. Conlon Ireland
Urs J. Hancox United Kingdom
Jennifer Kahler United States
Emily Wearne United States
Kwee Hyun Suh South Korea
Yasunobu Kuraishi Japan
Cath Trigwell relative to Donna-Michelle Smith United Kingdom Donna-Michelle Smith's profile →
Citations per field
00.5×
Donna-Michelle Smith · 1×
Citations per year

Countries citing papers authored by Cath Trigwell

Since Specialization
Citations

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

Fields of papers citing papers by Cath Trigwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2014172
2 201095
3 201636
4 201331
5 200718
6 200810
7 20131
8 20141
9 20151

About Cath Trigwell

Cath Trigwell is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 9 papers that have together received 365 indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), Cancer Treatment and Pharmacology (2 papers), Quinazolinone synthesis and applications (2 papers), Lung Cancer Treatments and Mutations (2 papers), Advanced Breast Cancer Therapies (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Oncology (150 citations), Genetics (53 citations), Pulmonary and Respiratory Medicine (136 citations), Cancer Research (52 citations) and Molecular Biology (220 citations). Cath Trigwell has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Urs J. Hancox, Howard I. Scher, José Baselga, Brett S. Carver, Sarit Schwartz, Charles L. Sawyers, Elisa de Stanchina, John Wongvipat, Sarat Chandarlapaty and Vanessa Rodrik-Outmezguine. Their work appears in journals such as Cancer Research, Bioorganic & Medicinal Chemistry Letters, Molecular Cancer Therapeutics, Clinical Cancer Research and ACS Medicinal Chemistry Letters.

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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