Kathryn J. Brown

911 total citations
8 papers, 808 citations indexed

About

Kathryn J. Brown is a scholar working on Molecular Biology, Cell Biology and Hematology. According to data from OpenAlex, Kathryn J. Brown has authored 8 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cell Biology and 3 papers in Hematology. Recurrent topics in Kathryn J. Brown's work include Proteoglycans and glycosaminoglycans research (7 papers), Fibroblast Growth Factor Research (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Kathryn J. Brown is often cited by papers focused on Proteoglycans and glycosaminoglycans research (7 papers), Fibroblast Growth Factor Research (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Kathryn J. Brown collaborates with scholars based in Australia and United States. Kathryn J. Brown's co-authors include Christopher R. Parish, Craig Freeman, William B. Cowden, Anna Bezos, Miriam D. Ford, Deborah Maguire, Robert L. Panek, James M. Hamby, Tawny K. Dahring and Gina H. Lu and has published in prestigious journals such as Journal of Biological Chemistry, Circulation Research and Biochemistry.

In The Last Decade

Kathryn J. Brown

8 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kathryn J. Brown Australia	8	585	390	124	124	82	8	808
S. O. Kolset Norway	12	352 0.6×	279 0.7×	48 0.4×	96 0.8×	46 0.6×	15	664
Alamelu G. Bharadwaj Canada	13	530 0.9×	184 0.5×	29 0.2×	186 1.5×	62 0.8×	20	738
Satish Mallya United States	15	245 0.4×	123 0.3×	83 0.7×	238 1.9×	87 1.1×	20	630
Luis E. López United States	11	425 0.7×	372 1.0×	39 0.3×	103 0.8×	9 0.1×	13	673
Sourav Banerjee United Kingdom	16	653 1.1×	177 0.5×	136 1.1×	105 0.8×	23 0.3×	33	973
S Tanaka Japan	14	316 0.5×	162 0.4×	27 0.2×	129 1.0×	19 0.2×	31	830
Rosemary Bass United Kingdom	14	377 0.6×	179 0.5×	17 0.1×	295 2.4×	117 1.4×	27	837
Zsolt Szíjgyártó United Kingdom	12	465 0.8×	215 0.6×	28 0.2×	86 0.7×	21 0.3×	24	866
Dianhua Qiao United States	16	697 1.2×	312 0.8×	20 0.2×	175 1.4×	19 0.2×	25	1.0k
Yoshiki Mukudai Japan	17	579 1.0×	110 0.3×	21 0.2×	199 1.6×	21 0.3×	40	981

Countries citing papers authored by Kathryn J. Brown

Since Specialization

Citations

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

Fields of papers citing papers by Kathryn J. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kathryn J. Brown

This figure shows the co-authorship network connecting the top 25 collaborators of Kathryn J. Brown. A scholar is included among the top collaborators of Kathryn J. 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 Kathryn J. Brown. Kathryn J. 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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8 of 8 papers shown

Freeman, Craig, Ligong Liu, Martin G. Banwell, et al.. (2005). Use of Sulfated Linked Cyclitols as Heparan Sulfate Mimetics to Probe the Heparin/Heparan Sulfate Binding Specificity of Proteins. Journal of Biological Chemistry. 280(10). 8842–8849. 50 indexed citations

Parish, Christopher R., Fernando S. Santiago, Harry C. Lowe, et al.. (2003). Blockade of Vascular Smooth Muscle Cell Proliferation and Intimal Thickening After Balloon Injury by the Sulfated Oligosaccharide PI-88. Circulation Research. 92(8). e70–7. 53 indexed citations

Parish, Christopher R., et al.. (1999). Identification of sulfated oligosaccharide-based inhibitors of tumor growth and metastasis using novel in vitro assays for angiogenesis and heparanase activity.. PubMed. 59(14). 3433–41. 352 indexed citations

Panek, Robert L., Gina H. Lu, Tawny K. Dahring, et al.. (1998). In Vitro Biological Characterization and Antiangiogenic Effects of PD 166866, a Selective Inhibitor of the FGF-1 Receptor Tyrosine Kinase. Journal of Pharmacology and Experimental Therapeutics. 286(1). 569–577. 76 indexed citations

Brown, Kathryn J., et al.. (1996). A novel in vitro assay for human angiogenesis.. PubMed. 75(4). 539–55. 179 indexed citations

Brown, Kathryn J., Ian A. Hendry, & Christopher R. Parish. (1995). Acidic and basic fibroblast growth factor bind with differing affinity to the same heparan sulfate proteoglycan on BALB/c 3T3 cells: Implications for potentiation of growth factor action by heparin. Journal of Cellular Biochemistry. 58(1). 6–14. 19 indexed citations

Brown, Kathryn J., Ian A. Hendry, & Christopher R. Parish. (1995). Evidence That Carboxyl-Reduced Heparin Fails to Potentiate Acidic Fibroblast Growth Factor Activity Due to an Inability to Interact with Cell Surface Heparin Receptors. Experimental Cell Research. 217(1). 132–139. 11 indexed citations

Brown, Kathryn J. & Christopher R. Parish. (1994). Histidine-Rich Glycoprotein and Platelet Factor 4 Mask Heparan Sulfate Proteoglycans Recognized by Acidic and Basic Fibroblast Growth Factor. Biochemistry. 33(46). 13918–13927. 68 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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