Kate Brown

4.1k total citations · 1 hit paper
23 papers, 1.4k citations indexed

About

Kate Brown is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Kate Brown has authored 23 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Kate Brown's work include Glycosylation and Glycoproteins Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). Kate Brown is often cited by papers focused on Glycosylation and Glycoproteins Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Epigenetics and DNA Methylation (2 papers). Kate Brown collaborates with scholars based in United States, United Kingdom and Switzerland. Kate Brown's co-authors include Peter Besmer, Fei-Hua Qiu, Partha Ray, F.H. Ruddle, SC Jhanwar, P E Barker, Nicolás Kosoy, Esteve Corbera, Sadhan Majumder and Karen Hardy and has published in prestigious journals such as The EMBO Journal, Molecular and Cellular Biology and Oncogene.

In The Last Decade

Kate Brown

21 papers receiving 1.4k citations

Hit Papers

Primary structure of c-kit: relationship with the CSF-1/P... 1988 2026 2000 2013 1988 200 400 600
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. Primary structure of c-kit: relationship with the CSF-1/PDGF receptor kinase family-oncogenic activation of v-kit involves deletion of extracellular domain and C terminus.
    1988 626 citations Fei-Hua Qiu, Partha Ray et al. The EMBO Journal profile →

Peers

Kate Brown
Lijuan Cao China
Sarah Park United States
Judith L. Anderson United States
Heng Zhu China
Yuko Hashimoto Japan
Stephen H. Clark United States
Alex Maas Netherlands
Yasuhiro Sakai Japan
Glenn A. Miller United States
Daniel Northrup United States
Lijuan Cao China
Kate Brown
Citations per year, relative to Kate Brown Kate Brown (= 1×) peers Lijuan Cao

Countries citing papers authored by Kate Brown

Since Specialization
Citations

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

Fields of papers citing papers by Kate Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kate Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kate Brown. A scholar is included among the top collaborators of Kate 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 Kate Brown. Kate Brown 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.
2.
Brown, Kate, Lisa M. Jenkins, Daniel R. Crooks, et al.. (2023). Targeting mutant p53-R248W reactivates WT p53 function and alters the onco-metabolic profile. Frontiers in Oncology. 12. 1094210–1094210. 3 indexed citations
3.
Surman, Deborah R., Yue Xu, Min-Jung Lee, et al.. (2021). Therapeutic Synergy in Esophageal Cancer and Mesothelioma Is Predicted by Dynamic BH3 Profiling. Molecular Cancer Therapeutics. 20(8). 1469–1480. 4 indexed citations
4.
Xu, Yue, Deborah R. Surman, Laurence P. Diggs, et al.. (2019). Bile acid-induced “Minority MOMP” promotes esophageal carcinogenesis while maintaining apoptotic resistance via Mcl-1. Oncogene. 39(4). 877–890. 21 indexed citations
5.
Brown, Kate. (2019). Serhii Plokhy. Chernobyl: The History of a Nuclear Catastrophe.. The American Historical Review. 124(3). 1027–1029.
6.
Brown, Kate, et al.. (2018). Struvite Precipitation from Anaerobically Digested Dairy Manure. Water Air & Soil Pollution. 229(7). 17 indexed citations
7.
Brown, Kate, Pan‐Chyr Yang, Rima M. Kulikauskas, et al.. (2017). WNT/β-catenin signaling regulates mitochondrial activity to alter the oncogenic potential of melanoma in a PTEN-dependent manner. Oncogene. 36(22). 3119–3136. 53 indexed citations
8.
Brown, Kate, et al.. (2017). Production of Oxalic Acid from Aspergillus niger and Whey Permeate. Water Air & Soil Pollution. 229(1). 17 indexed citations
9.
Brown, Kate. (2017). Psychosis from an Attachment Perspective. British Journal of Psychotherapy. 33(3). 365–387. 3 indexed citations
10.
Xu, Yue, Paul L. Feingold, Deborah R. Surman, et al.. (2017). Bile acid and cigarette smoke enhance the aggressive phenotype of esophageal adenocarcinoma cells by downregulation of the mitochondrial uncoupling protein-2. Oncotarget. 8(60). 101057–101071. 10 indexed citations
11.
Hardy, Karen, Jennie Brand‐Miller, Kate Brown, Mark Thomas, & Les Copeland. (2015). The Importance of Dietary Carbohydrate in Human Evolution. The Quarterly Review of Biology. 90(3). 251–268. 138 indexed citations
12.
Johnson, David E., et al.. (2014). Building the regional perspective: platforms for success. Aquatic Conservation Marine and Freshwater Ecosystems. 24(S2). 75–93. 6 indexed citations
13.
Sherwood, Victoria, Shivendra K. Chaurasiya, Elin Ekström, et al.. (2013). WNT5A-mediated  -catenin-independent signalling is a novel regulator of cancer cell metabolism. Carcinogenesis. 35(4). 784–794. 44 indexed citations
14.
Day, Elizabeth, Kate Brown, Mauro Zurini, et al.. (2009). Cloning and pharmacological characterization of CCR7, CCL21 and CCL19 from Macaca fascicularis. European Journal of Pharmaceutical Sciences. 37(3-4). 264–271. 3 indexed citations
15.
Kosoy, Nicolás, Esteve Corbera, & Kate Brown. (2008). Participation in payments for ecosystem services: Case studies from the Lacandon rainforest, Mexico. Geoforum. 39(6). 2073–2083. 189 indexed citations
16.
Brown, Kate, Mark Rosenthal, & Andrew Bush. (1999). Fatal invasive aspergillosis in an adolescent with cystic fibrosis. Pediatric Pulmonology. 27(2). 130–133. 31 indexed citations
17.
Perry, David J., Mary E. Daly, B T Colvin, Kate Brown, & Robin W. Carrell. (1995). Two antithrombin mutations in a compound heterozygote: Met20Thr and Tyr166Cys. American Journal of Hematology. 50(3). 215–216. 4 indexed citations
18.
Niles, Richard M., et al.. (1990). The Effect of Retinoic Acid on Growth and Proto-oncogene Expression in Hamster Tracheal Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 2(4). 365–371. 14 indexed citations
19.
Gomperts, Miranda, John C. Pascall, & Kate Brown. (1990). The nucleotide sequence of a cDNA encoding an EGF-inducible gene indicates the existence of a new family of mitogen-induced genes.. PubMed. 5(7). 1081–3. 69 indexed citations
20.
Qiu, Fei-Hua, Partha Ray, Kate Brown, et al.. (1988). Primary structure of c-kit: relationship with the CSF-1/PDGF receptor kinase family-oncogenic activation of v-kit involves deletion of extracellular domain and C terminus.. The EMBO Journal. 7(4). 1003–1011. 626 indexed citations breakdown →

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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