Scott D. Brown

9.0k total citations · 1 hit paper
15 papers, 822 citations indexed

About

Scott D. Brown is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Scott D. Brown has authored 15 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 9 papers in Oncology and 6 papers in Immunology. Recurrent topics in Scott D. Brown's work include Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). Scott D. Brown is often cited by papers focused on Cancer Immunotherapy and Biomarkers (4 papers), CAR-T cell therapy research (3 papers) and Immunotherapy and Immune Responses (3 papers). Scott D. Brown collaborates with scholars based in Canada, Australia and United States. Scott D. Brown's co-authors include Robert A. Holt, Brad H. Nelson, Spencer D. Martin, Ewan A. Gibb, Robin M. Warren, John J. Spinelli, David R. Kroeger, Darin A. Wick, Julie S. Nielsen and Kwame Twumasi‐Boateng and has published in prestigious journals such as Bioinformatics, PLoS ONE and Cancer Research.

In The Last Decade

Scott D. Brown

15 papers receiving 808 citations

Hit Papers

align trajectories

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.

Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival

2014 447 citations Scott D. Brown, Robin M. Warren et al. Genome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Scott D. Brown Canada	11	524	447	280	152	102	15	822
Lavakumar Karyampudi United States	10	639 1.2×	744 1.7×	197 0.7×	103 0.7×	81 0.8×	15	963
Yvette Robbins United States	14	614 1.2×	675 1.5×	187 0.7×	78 0.5×	95 0.9×	29	991
Diana L. Simons United States	12	472 0.9×	459 1.0×	247 0.9×	112 0.7×	55 0.5×	19	791
Nathalie Merillon France	6	369 0.7×	353 0.8×	186 0.7×	82 0.5×	109 1.1×	8	594
Jin‐Hao Yang China	12	519 1.0×	502 1.1×	286 1.0×	85 0.6×	129 1.3×	27	955
Jan Davidson‐Moncada United States	12	228 0.4×	215 0.5×	161 0.6×	117 0.8×	61 0.6×	49	518
Iris Dallmann Germany	17	376 0.7×	366 0.8×	480 1.7×	266 1.8×	75 0.7×	34	984
Remy Thomas Qatar	10	376 0.7×	364 0.8×	265 0.9×	71 0.5×	63 0.6×	14	652
Sarah Maenhout Belgium	13	425 0.8×	552 1.2×	395 1.4×	89 0.6×	121 1.2×	13	889
Deepthi Madhireddy United States	3	501 1.0×	468 1.0×	200 0.7×	60 0.4×	71 0.7×	3	781

Countries citing papers authored by Scott D. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Scott D. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Scott D. Brown

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

All Works

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15 of 15 papers shown

Brown, Scott D., et al.. (2023). Complete sequence verification of plasmid DNA using the Oxford Nanopore Technologies’ MinION device. BMC Bioinformatics. 24(1). 14 indexed citations

Titmuss, Emma, Katy Milne, Martin Jones, et al.. (2023). Immune Activation Following Irbesartan Treatment in a Colorectal Cancer Patient: A Case Study. International Journal of Molecular Sciences. 24(6). 5869–5869. 2 indexed citations

Yung, Eric, et al.. (2022). Selective B cell depletion upon intravenous infusion of replication-incompetent anti-CD19 CAR lentivirus. Molecular Therapy — Methods & Clinical Development. 26. 4–14. 9 indexed citations

Brown, Scott D., et al.. (2021). Modulation of the Host Cell Transcriptome and Epigenome by Fusobacterium nucleatum. mBio. 12(5). e0206221–e0206221. 22 indexed citations

Williamson, Laura M., Emma Titmuss, Elizabeth M. Chun, et al.. (2021). Abstract 630: Response to nivolumab in a pediatric chordoma with overexpression of brachyury. Cancer Research. 81(13_Supplement). 630–630. 1 indexed citations

Dick, Ian M., Richard J. N. Allcock, Scott D. Brown, et al.. (2019). Identification of a CD8+ T-cell response to a predicted neoantigen in malignant mesothelioma. OncoImmunology. 9(1). 1684713–1684713. 15 indexed citations

Brown, Scott D. & Robert A. Holt. (2018). Neoantigen characteristics in the context of the complete predicted MHC class I self-immunopeptidome. OncoImmunology. 8(3). 1556080–1556080. 9 indexed citations

Bouquet, Jérôme, Jennifer L. Gardy, Scott D. Brown, et al.. (2017). RNA-Seq Analysis of Gene Expression, Viral Pathogen, and B-Cell/T-Cell Receptor Signatures in Complex Chronic Disease. Clinical Infectious Diseases. 64(4). 476–481. 16 indexed citations

Martin, Spencer D., Scott D. Brown, Darin A. Wick, et al.. (2016). Low Mutation Burden in Ovarian Cancer May Limit the Utility of Neoantigen-Targeted Vaccines. PLoS ONE. 11(5). e0155189–e0155189. 112 indexed citations

10.

Brown, Scott D., Greg Hapgood, Christian Steidl, et al.. (2016). Defining the clonality of peripheral T cell lymphomas using RNA-seq. Bioinformatics. 33(8). 1111–1115. 10 indexed citations

11.

Gibb, Ewan A., Robin M. Warren, Gavin W. Wilson, et al.. (2015). Activation of an endogenous retrovirus-associated long non-coding RNA in human adenocarcinoma. Genome Medicine. 7(1). 22–22. 49 indexed citations

12.

Brown, Scott D., et al.. (2015). Profiling tissue-resident T cell repertoires by RNA sequencing. Genome Medicine. 7(1). 125–125. 68 indexed citations

13.

Brown, Scott D., Robin M. Warren, Ewan A. Gibb, et al.. (2014). Neo-antigens predicted by tumor genome meta-analysis correlate with increased patient survival. Genome Research. 24(5). 743–750. 447 indexed citations breakdown →

14.

Malyukova, Alena, Scott D. Brown, Rachael A. Papa, et al.. (2012). FBXW7 regulates glucocorticoid response in T-cell acute lymphoblastic leukaemia by targeting the glucocorticoid receptor for degradation. Leukemia. 27(5). 1053–1062. 36 indexed citations

15.

Chang, Jason Y. & Scott D. Brown. (1996). Cytosine Arabinoside Differentially Alters Survival and Neurite Outgrowth of Neuronal PC12 Cells. Biochemical and Biophysical Research Communications. 218(3). 753–758. 12 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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