Gavin D. Garland

457 total citations
9 papers, 256 citations indexed

About

Gavin D. Garland is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Gavin D. Garland has authored 9 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Pathology and Forensic Medicine and 3 papers in Cancer Research. Recurrent topics in Gavin D. Garland's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). Gavin D. Garland is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). Gavin D. Garland collaborates with scholars based in United Kingdom, Austria and United States. Gavin D. Garland's co-authors include Suzanne D. Turner, Gerda Egger, Anne E. Willis, Aristeidis Sfakianos, Tuija Pöyry, Robert F. Harvey, Olaf Merkel, Lukas Kenner, C. Mark Smales and Emma J. Mead and has published in prestigious journals such as Nucleic Acids Research, Oncogene and Biochemical Journal.

In The Last Decade

Gavin D. Garland

9 papers receiving 256 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Gavin D. Garland United Kingdom	6	152	70	64	53	42	9	256
Thomas Mehrling United Kingdom	7	132 0.9×	81 1.2×	70 1.1×	30 0.6×	13 0.3×	22	258
Nina Prokoph United Kingdom	7	134 0.9×	65 0.9×	53 0.8×	16 0.3×	30 0.7×	12	217
G. Scott Chandler United States	8	78 0.5×	184 2.6×	20 0.3×	61 1.2×	40 1.0×	19	270
Dilys T.H. Leung Australia	9	177 1.2×	77 1.1×	18 0.3×	53 1.0×	110 2.6×	10	340
Kieren D. Marini Australia	8	229 1.5×	118 1.7×	42 0.7×	42 0.8×	80 1.9×	9	330
Simone Jueliger United States	6	172 1.1×	63 0.9×	23 0.4×	19 0.4×	50 1.2×	16	244
Amanda L. Robichaud United States	7	280 1.8×	105 1.5×	29 0.5×	52 1.0×	47 1.1×	9	370
Monika Kowal Poland	9	141 0.9×	53 0.8×	23 0.4×	42 0.8×	53 1.3×	15	258
Kelsey W. Nassar United States	5	164 1.1×	170 2.4×	21 0.3×	36 0.7×	35 0.8×	6	284
Aurélie Sadoux France	11	157 1.0×	119 1.7×	31 0.5×	25 0.5×	30 0.7×	30	287

Countries citing papers authored by Gavin D. Garland

Since Specialization

Citations

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

Fields of papers citing papers by Gavin D. Garland

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gavin D. Garland. 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 Gavin D. Garland. The network helps show where Gavin D. Garland may publish in the future.

Co-authorship network of co-authors of Gavin D. Garland

This figure shows the co-authorship network connecting the top 25 collaborators of Gavin D. Garland. A scholar is included among the top collaborators of Gavin D. Garland 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 Gavin D. Garland. Gavin D. Garland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Quintas, Ana, Robert F. Harvey, Gavin D. Garland, et al.. (2024). Eukaryotic initiation factor 4B is a multi-functional RNA binding protein that regulates histone mRNAs. Nucleic Acids Research. 52(19). 12039–12054. 5 indexed citations

Garland, Gavin D., et al.. (2022). Aberrant protein synthesis and cancer development: The role of canonical eukaryotic initiation, elongation and termination factors in tumorigenesis. Seminars in Cancer Biology. 86(Pt 3). 151–165. 21 indexed citations

Garland, Gavin D., Robert F. Harvey, Thomas E. Mulroney, et al.. (2022). Development of a colorimetric assay for the detection of SARS-CoV-2 3CLpro activity. Biochemical Journal. 479(8). 901–920. 5 indexed citations

Garland, Gavin D., Leila Jahangiri, G.A. Amos Burke, et al.. (2021). BRG1 and NPM-ALK Are Co-Regulated in Anaplastic Large-Cell Lymphoma; BRG1 Is a Potential Therapeutic Target in ALCL. Cancers. 14(1). 151–151. 4 indexed citations

Knight, John R. P., Gavin D. Garland, Tuija Pöyry, et al.. (2020). Control of translation elongation in health and disease. Disease Models & Mechanisms. 13(3). 62 indexed citations

Garland, Gavin D., et al.. (2019). The Transcriptional Roles of ALK Fusion Proteins in Tumorigenesis. Cancers. 11(8). 1074–1074. 62 indexed citations

Pizzinga, Mariavittoria, Robert F. Harvey, Gavin D. Garland, et al.. (2019). The cell stress response: extreme times call for post‐transcriptional measures. Wiley Interdisciplinary Reviews - RNA. 11(3). e1578–e1578. 23 indexed citations

Hassler, Melanie R., Walter Pulverer, Ranjani Lakshminarasimhan, et al.. (2016). Insights into the Pathogenesis of Anaplastic Large-Cell Lymphoma through Genome-wide DNA Methylation Profiling. Cell Reports. 17(2). 596–608. 45 indexed citations

Malcolm, Tim, Rifat Hamoudi, Shahzad I. Mian, et al.. (2014). Anaplastic large cell lymphoma-propagating cells are detectable by side population analysis and possess an expression profile reflective of a primitive origin. Oncogene. 34(14). 1843–1852. 29 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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