Jamie I. Fletcher

9.5k total citations · 5 hit papers
63 papers, 7.1k citations indexed

About

Jamie I. Fletcher is a scholar working on Molecular Biology, Neurology and Oncology. According to data from OpenAlex, Jamie I. Fletcher has authored 63 papers receiving a total of 7.1k indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 24 papers in Neurology and 15 papers in Oncology. Recurrent topics in Jamie I. Fletcher's work include Neuroblastoma Research and Treatments (24 papers), Cell death mechanisms and regulation (11 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Jamie I. Fletcher is often cited by papers focused on Neuroblastoma Research and Treatments (24 papers), Cell death mechanisms and regulation (11 papers) and Cancer, Hypoxia, and Metabolism (10 papers). Jamie I. Fletcher collaborates with scholars based in Australia, United States and Canada. Jamie I. Fletcher's co-authors include David C.S. Huang, Jerry M. Adams, Simon N. Willis, Michelle Haber, Murray D. Norris, Michelle J. Henderson, Andrew H. Wei, Lin Chen, Peter M. Colman and Brian J. Smith and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Jamie I. Fletcher

58 papers receiving 7.0k citations

Hit Papers

Differential Targeting of Prosurvival Bcl-2 Proteins by T... 2005 2026 2012 2019 2005 2005 2007 2010 2007 400 800 1.2k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Differential Targeting of Prosurvival Bcl-2 Proteins by Their BH3-Only Ligands Allows Complementary Apoptotic Function
    2005 1.5k citations Jamie I. Fletcher, Jerry M. Adams et al. profile →
  2. Proapoptotic Bak is sequestered by Mcl-1 and Bcl-x L , but not Bcl-2, until displaced by BH3-only proteins
    2005 1.0k citations Jamie I. Fletcher, Jerry M. Adams et al. profile →
  3. Apoptosis Initiated When BH3 Ligands Engage Multiple Bcl-2 Homologs, Not Bax or Bak
    2007 883 citations Jamie I. Fletcher, Erinna F. Lee et al. profile →
  4. ABC transporters in cancer: more than just drug efflux pumps
    2010 833 citations Jamie I. Fletcher, Michelle Haber et al. profile →
  5. Programmed Anuclear Cell Death Delimits Platelet Life Span
    2007 767 citations Jamie I. Fletcher, Paul G. Ekert et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamie I. Fletcher Australia 28 5.1k 2.0k 1.0k 912 604 63 7.1k
Catherine L. Day New Zealand 38 6.1k 1.2× 1.8k 0.9× 1.2k 1.2× 745 0.8× 324 0.5× 81 7.4k
Elaine M. Hurt United States 35 3.1k 0.6× 2.4k 1.2× 2.0k 1.9× 1.0k 1.1× 458 0.8× 59 6.3k
Katherine L. B. Borden Canada 53 6.6k 1.3× 930 0.5× 1.2k 1.2× 750 0.8× 645 1.1× 118 8.2k
Karen Blyth United Kingdom 43 4.7k 0.9× 1.9k 0.9× 939 0.9× 2.2k 2.4× 443 0.7× 134 7.0k
Erik A.C. Wiemer Netherlands 50 4.8k 0.9× 2.4k 1.2× 510 0.5× 2.1k 2.3× 683 1.1× 158 8.2k
W. Douglas Fairlie Australia 45 5.6k 1.1× 1.3k 0.7× 2.4k 2.3× 506 0.6× 347 0.6× 103 8.7k
Filip Lardon Belgium 45 2.9k 0.6× 2.7k 1.4× 1.5k 1.5× 1.2k 1.3× 268 0.4× 170 6.4k
Lawrence R. Dick United States 35 6.0k 1.2× 2.1k 1.1× 1.1k 1.1× 538 0.6× 609 1.0× 50 8.2k
Nathalie Droin France 39 4.2k 0.8× 1.9k 1.0× 2.7k 2.6× 1.2k 1.4× 888 1.5× 109 7.8k
Christoph Driessen Switzerland 45 2.9k 0.6× 1.7k 0.8× 1.5k 1.4× 687 0.8× 1.4k 2.4× 144 5.8k

Countries citing papers authored by Jamie I. Fletcher

Since Specialization
Citations

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

Fields of papers citing papers by Jamie I. Fletcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jamie I. Fletcher. 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 Jamie I. Fletcher. The network helps show where Jamie I. Fletcher may publish in the future.

Co-authorship network of co-authors of Jamie I. Fletcher

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

All Works

20 of 20 papers shown
1.
Fletcher, Jamie I., Loretta M. S. Lau, M. Emmy M. Dolman, et al.. (2025). Modeling High-Risk Pediatric Cancers in Zebrafish to Inform Precision Therapy. Cancer Research Communications. 5(7). 1215–1227.
2.
Kathman, Stefan G., Tao Liu, Charles S. Bond, et al.. (2025). NONO Maintains SREBP ‐Regulated Cholesterol Biosynthesis via RNA Binding in Neuroblastoma. The FASEB Journal. 39(18). e71051–e71051. 1 indexed citations
3.
Atkinson, Caroline, Alvin Kamili, Federica Saletta, et al.. (2025). P-glycoprotein as a chemotherapy resistance mechanism and biomarker of poor response in high-risk neuroblastoma. SHILAP Revista de lepidopterología. 6. 100478–100478.
4.
Vermeulen, An, Kimberley E. Wever, M. Emmy M. Dolman, et al.. (2025). Second-Generation AURKA-Targeting PROTACs: Structural Optimization toward in Vivo Degradation in Neuroblastoma. Journal of Medicinal Chemistry. 68(22). 23962–23976.
5.
Hanssen, Kimberley M., Jamie I. Fletcher, & Alvin Kamili. (2024). Generation of Orthotopic and Subcutaneous Patient-Derived Xenograft Models from Diverse Clinical Tissue Samples of Pediatric Extracranial Solid Tumors. Methods in molecular biology. 2806. 55–74.
6.
Kamili, Alvin, Jennemiek van Arkel, Marlinde L. van den Boogaard, et al.. (2024). Preclinical assessment of combined BCL-2 and MCL-1 inhibition in high-risk neuroblastoma. SHILAP Revista de lepidopterología. 3. 100168–100168. 4 indexed citations
7.
Hanssen, Kimberley M., Michelle Haber, & Jamie I. Fletcher. (2021). Targeting multidrug resistance-associated protein 1 (MRP1)-expressing cancers: Beyond pharmacological inhibition. Drug Resistance Updates. 59. 100795–100795. 64 indexed citations
8.
Subhash, Vinod Vijay, Alvin Kamili, Marie Wong, et al.. (2021). Whole-genome sequencing facilitates patient-specific quantitative PCR-based minimal residual disease monitoring in acute lymphoblastic leukaemia, neuroblastoma and Ewing sarcoma. British Journal of Cancer. 126(3). 482–491. 6 indexed citations
9.
Sansom‐Daly, Ursula M., Joanna E. Fardell, Antoinette Anazodo, et al.. (2021). “We Have All This Knowledge to Give, So Use Us as a Resource”: Partnering with Adolescent and Young Adult Cancer Survivors to Determine Consumer-Led Research Priorities. Journal of Adolescent and Young Adult Oncology. 11(2). 211–222. 6 indexed citations
10.
Kamili, Alvin, Andrew J. Gifford, Nancy Li, et al.. (2020). Accelerating development of high-risk neuroblastoma patient-derived xenograft models for preclinical testing and personalised therapy. British Journal of Cancer. 122(5). 680–691. 32 indexed citations
11.
Gao, Jixuan, MoonSun Jung, Chelsea Mayoh, et al.. (2020). Suppression of ABCE1-Mediated mRNA Translation Limits N-MYC–Driven Cancer Progression. Cancer Research. 80(17). 3706–3718. 18 indexed citations
12.
Gifford, Andrew J., Carol Wadham, Emily Mould, et al.. (2020). CD30 and ALK combination therapy has high therapeutic potency in RANBP2-ALK-rearranged epithelioid inflammatory myofibroblastic sarcoma. British Journal of Cancer. 123(7). 1101–1113. 21 indexed citations
13.
Kamili, Alvin, et al.. (2020). Mouse models of high-risk neuroblastoma. Cancer and Metastasis Reviews. 39(1). 261–274. 20 indexed citations
14.
Tran, Sieu L., Michelle F. Maritz, Bing Liu, et al.. (2016). MYC -Driven Neuroblastomas Are Addicted to a Telomerase-Independent Function of Dyskerin. Cancer Research. 76(12). 3604–3617. 36 indexed citations
15.
Jung, MoonSun, Amanda J. Russell, Bing Liu, et al.. (2016). A Myc Activity Signature Predicts Poor Clinical Outcomes in Myc-Associated Cancers. Cancer Research. 77(4). 971–981. 75 indexed citations
16.
Cheung, Leanna, Claudia L. Flemming, Fujiko Watt, et al.. (2014). High-throughput screening identifies Ceefourin 1 and Ceefourin 2 as highly selective inhibitors of multidrug resistance protein 4 (MRP4). Biochemical Pharmacology. 91(1). 97–108. 58 indexed citations
17.
Fletcher, Jamie I., Samuele Gherardi, Jayne Murray, et al.. (2011). N-Myc Regulates Expression of the Detoxifying Enzyme Glutathione Transferase GSTP1 , a Marker of Poor Outcome in Neuroblastoma. Cancer Research. 72(4). 845–853. 12 indexed citations
18.
Fletcher, Jamie I., Christine J. Hawkins, David T. Riglar, et al.. (2008). Apoptosis is triggered when prosurvival Bcl-2 proteins cannot restrain Bax. Proceedings of the National Academy of Sciences. 105(47). 18081–18087. 156 indexed citations
19.
Fletcher, Jamie I., James Swarbrick, Danuta Maksel, Kenwyn R. Gayler, & Paul R. Gooley. (2002). The Structure of Ap4A Hydrolase Complexed with ATP-MgFx Reveals the Basis of Substrate Binding. Structure. 10(2). 205–213. 26 indexed citations
20.
Wang, Xiuhong, et al.. (1999). Structure–function studies of ω‐atracotoxin, a potent antagonist of insect voltage‐gated calcium channels. European Journal of Biochemistry. 264(2). 488–494. 74 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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