Ricky M. Trigg

533 total citations
11 papers, 333 citations indexed

About

Ricky M. Trigg is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Ricky M. Trigg has authored 11 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Ricky M. Trigg's work include Neuroblastoma Research and Treatments (4 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Research Studies (3 papers). Ricky M. Trigg is often cited by papers focused on Neuroblastoma Research and Treatments (4 papers), Cancer Genomics and Diagnostics (3 papers) and Lung Cancer Research Studies (3 papers). Ricky M. Trigg collaborates with scholars based in United Kingdom, United States and Czechia. Ricky M. Trigg's co-authors include Suzanne D. Turner, Jacqui Shaw, Luke Martinson, Sonya Parpart-Li, Leila Jahangiri, Loukia Tsaprouni, Georgios V. Gkoutos, João D. Pereira, John A. Williams and Catrin Pritchard and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and British Journal of Cancer.

In The Last Decade

Ricky M. Trigg

10 papers receiving 331 citations

Peers

Ricky M. Trigg

CR

MB

NEURO

ONCOL

PRM

Nobumoto Tomioka Japan

Jessica Lam United States

C Warren United Kingdom

Arianna Citti Italy

Susan L. Marcelli United States

Valéry Attignon France

Raquel Hladun Spain

Stefan Holzhauser Sweden

Paul Winograd United States

Thomas Mika Germany

Nobumoto Tomioka Japan

Ricky M. Trigg

128 ×0.7

CR

103 ×0.6

MB

92 ×0.7

NEURO

205 ×1.6

ONCOL

81 ×1.6

PRM

Citations per year, relative to Ricky M. Trigg Ricky M. Trigg (= 1×) peers Nobumoto Tomioka

Countries citing papers authored by Ricky M. Trigg

Since Specialization

Citations

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

Fields of papers citing papers by Ricky M. Trigg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ricky M. Trigg

This figure shows the co-authorship network connecting the top 25 collaborators of Ricky M. Trigg. A scholar is included among the top collaborators of Ricky M. Trigg based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ricky M. Trigg. Ricky M. Trigg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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11 of 11 papers shown

1.

Trigg, Ricky M., Leila Jahangiri, Jamie D. Matthews, et al.. (2023). Abstract LB226: FGFR2 modulates ALK inhibition response in high-risk neuroblastoma. Cancer Research. 83(8_Supplement). LB226–LB226.

2.

Prokoph, Nina, Jamie D. Matthews, Ricky M. Trigg, et al.. (2023). Patient‐derived xenograft models of ALK+ ALCL reveal preclinical promise for therapy with brigatinib. British Journal of Haematology. 202(5). 985–994. 3 indexed citations

3.

Jahangiri, Leila, Ricky M. Trigg, John A. Williams, et al.. (2021). The Contribution of Autophagy and LncRNAs to MYC-Driven Gene Regulatory Networks in Cancers. International Journal of Molecular Sciences. 22(16). 8527–8527. 20 indexed citations

4.

Jahangiri, Leila, Ricky M. Trigg, João D. Pereira, et al.. (2021). The Role of Autophagy and lncRNAs in the Maintenance of Cancer Stem Cells. Cancers. 13(6). 1239–1239. 18 indexed citations

5.

Trigg, Ricky M., Suzanne D. Turner, Jacqui Shaw, & Leila Jahangiri. (2020). Diagnostic accuracy of circulating-free DNA for the determination of MYCN amplification status in advanced-stage neuroblastoma: a systematic review and meta-analysis. British Journal of Cancer. 122(7). 1077–1084. 12 indexed citations

6.

Jahangiri, Leila, Loukia Tsaprouni, Ricky M. Trigg, et al.. (2020). Core regulatory circuitries in defining cancer cell identity across the malignant spectrum. Open Biology. 10(7). 200121–200121. 11 indexed citations

7.

Trigg, Ricky M., Jacqui Shaw, & Suzanne D. Turner. (2019). Opportunities and challenges of circulating biomarkers in neuroblastoma. Open Biology. 9(5). 190056–190056. 26 indexed citations

8.

Trigg, Ricky M., John Le Quesne, Michael Kelly, et al.. (2019). Early detection of pre-malignant lesions in a KRASG12D-driven mouse lung cancer model by monitoring circulating free DNA. Disease Models & Mechanisms. 12(2). 14 indexed citations

9.

Verma, Ajay, Daniel Fernández-García, Panchali Sarmah, et al.. (2018). Circulating tumor DNA in patients with colorectal adenomas: assessment of detectability and genetic heterogeneity. Cell Death and Disease. 9(9). 894–894. 38 indexed citations

10.

Trigg, Ricky M., Luke Martinson, Sonya Parpart-Li, & Jacqui Shaw. (2018). Factors that influence quality and yield of circulating-free DNA: A systematic review of the methodology literature. Heliyon. 4(7). e00699–e00699. 90 indexed citations

11.

Trigg, Ricky M. & Suzanne D. Turner. (2018). ALK in Neuroblastoma: Biological and Therapeutic Implications. Cancers. 10(4). 113–113. 101 indexed citations

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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