Nicholas Brown

1.3k total citations
10 papers, 1.1k citations indexed

About

Nicholas Brown is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Nicholas Brown has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Oncology. Recurrent topics in Nicholas Brown's work include Cancer, Hypoxia, and Metabolism (6 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cell Adhesion Molecules Research (2 papers). Nicholas Brown is often cited by papers focused on Cancer, Hypoxia, and Metabolism (6 papers), Angiogenesis and VEGF in Cancer (4 papers) and Cell Adhesion Molecules Research (2 papers). Nicholas Brown collaborates with scholars based in United Kingdom, United States and Norway. Nicholas Brown's co-authors include Roy Bicknell, Adrian L. Harris, Adam Jones, Chisato Fujiyama, Russell Leek, Kevin C. Gatter, Francesco Pezzella, Marian Taylor, Kate Talks and Leticia Campo and has published in prestigious journals such as Blood, Biochemical Journal and British Journal of Cancer.

In The Last Decade

Nicholas Brown

10 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nicholas Brown United Kingdom 10 608 388 300 138 85 10 1.1k
T.T. Kwok Hong Kong 18 541 0.9× 284 0.7× 227 0.8× 78 0.6× 113 1.3× 24 974
Hui Xing China 22 768 1.3× 387 1.0× 343 1.1× 122 0.9× 100 1.2× 54 1.2k
Sun Young Yoon South Korea 18 816 1.3× 295 0.8× 319 1.1× 154 1.1× 162 1.9× 56 1.3k
Jay McQuillan United States 12 697 1.1× 292 0.8× 249 0.8× 385 2.8× 80 0.9× 15 1.4k
Nancy Klauber United States 6 854 1.4× 293 0.8× 403 1.3× 126 0.9× 124 1.5× 6 1.5k
Sarah Sarkar United States 12 486 0.8× 268 0.7× 356 1.2× 69 0.5× 137 1.6× 13 980
Adriana Amaro Italy 21 669 1.1× 345 0.9× 286 1.0× 230 1.7× 113 1.3× 48 1.2k
Caroline Goupille France 22 661 1.1× 288 0.7× 133 0.4× 166 1.2× 43 0.5× 55 1.2k
Laurent Lessard Canada 17 811 1.3× 528 1.4× 359 1.2× 225 1.6× 259 3.0× 25 1.3k
Jing Fang China 12 1.1k 1.8× 267 0.7× 588 2.0× 112 0.8× 87 1.0× 17 1.5k

Countries citing papers authored by Nicholas Brown

Since Specialization
Citations

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

Fields of papers citing papers by Nicholas Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nicholas Brown

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

All Works

10 of 10 papers shown
1.
Lam, Khiem C., Jialu Hu, Richard R. Rodrigues, et al.. (2018). Transkingdom network reveals bacterial players associated with cervical cancer gene expression program. PeerJ. 6. e5590–e5590. 26 indexed citations
2.
Illidge, Tim, Mike Bayne, Nicholas Brown, et al.. (2008). Phase 1/2 study of fractionated 131I-rituximab in low-grade B-cell lymphoma: the effect of prior rituximab dosing and tumor burden on subsequent radioimmunotherapy. Blood. 113(7). 1412–1421. 61 indexed citations
4.
Brown, Nicholas & Roy Bicknell. (2003). Cell Migration and the Boyden Chamber. Humana Press eBooks. 58. 47–54. 9 indexed citations
5.
Leek, Russell, Kate Talks, Francesco Pezzella, et al.. (2002). Relation of hypoxia-inducible factor-2 alpha (HIF-2 alpha) expression in tumor-infiltrative macrophages to tumor angiogenesis and the oxidative thymidine phosphorylase pathway in Human breast cancer.. PubMed. 62(5). 1326–9. 177 indexed citations
6.
Brown, Nicholas & Roy Bicknell. (2001). Hypoxia and oxidative stress in breast cancer Oxidative stress - its effects on the growth, metastatic potential and response to therapy of breast cancer. Breast Cancer Research. 3(5). 323–7. 369 indexed citations
7.
Kakolyris, S., Stephen B. Fox, M. Koukourakis, et al.. (2000). Relationship of vascular maturation in breast cancer blood vessels to vascular density and metastasis, assessed by expression of a novel basement membrane component, LH39. British Journal of Cancer. 82(4). 844–851. 53 indexed citations
8.
Brown, Nicholas, Adam Jones, Chisato Fujiyama, Adrian L. Harris, & Roy Bicknell. (2000). Thymidine phosphorylase induces carcinoma cell oxidative stress and promotes secretion of angiogenic factors.. PubMed. 60(22). 6298–302. 164 indexed citations
9.
Brown, Nicholas & Roy Bicknell. (1998). Thymidine phosphorylase, 2-deoxy-D-ribose and angiogenesis. Biochemical Journal. 334(1). 1–8. 183 indexed citations
10.
Brown, Nicholas, et al.. (1990). Enzymatic conversion of 5-fluoro-2'-deoxyuridine to 5-fluorouracil or 5-fluoro-2'-deoxyuridine 5'-monophosphate in human tissues.. PubMed. 10(3). 779–83. 10 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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