Tracey J. Brown

32 total papers · 1.3k total citations
21 papers, 830 citations indexed

About

Tracey J. Brown is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Tracey J. Brown has authored 21 papers receiving a total of 830 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 11 papers in Cell Biology and 9 papers in Oncology. Recurrent topics in Tracey J. Brown's work include Proteoglycans and glycosaminoglycans research (11 papers), Glycosylation and Glycoproteins Research (8 papers) and Fibroblast Growth Factor Research (6 papers). Tracey J. Brown is often cited by papers focused on Proteoglycans and glycosaminoglycans research (11 papers), Glycosylation and Glycoproteins Research (8 papers) and Fibroblast Growth Factor Research (6 papers). Tracey J. Brown collaborates with scholars based in Australia, United States and Sweden. Tracey J. Brown's co-authors include Susan K. Nilsson, Paraskevi Heldin, Lingli Li, Yuejuan Li, Teresa Occhiodoro, Paul J. Simmons, David N. Haylock, Tony Blick, Erik W. Thompson and Emma C. Walker and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Tracey J. Brown

20 papers receiving 819 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tracey J. Brown	553	492	184	98	72	21	830
Patrizia Sini	533 1.0×	247 0.5×	194 1.1×	100 1.0×	59 0.8×	21	916
Claude Chauzy	489 0.9×	553 1.1×	152 0.8×	113 1.2×	63 0.9×	28	990
Itshak Golan	463 0.8×	270 0.5×	172 0.9×	93 0.9×	30 0.4×	11	733
Shanti K. Samuel	751 1.4×	317 0.6×	164 0.9×	113 1.2×	40 0.6×	19	1.0k
Yamina Hamma‐Kourbali	601 1.1×	190 0.4×	215 1.2×	186 1.9×	39 0.5×	25	965
Martina Konantz	536 1.0×	338 0.7×	129 0.7×	124 1.3×	156 2.2×	29	893
Sylvain D. Vallet	543 1.0×	345 0.7×	126 0.7×	172 1.8×	26 0.4×	19	1.0k
Kristy Meyer	707 1.3×	415 0.8×	172 0.9×	291 3.0×	38 0.5×	16	1.0k
Maria E. Vega	439 0.8×	162 0.3×	284 1.5×	113 1.2×	39 0.5×	18	812
Jason J. Zoeller	617 1.1×	370 0.8×	203 1.1×	199 2.0×	35 0.5×	23	1.1k

Countries citing papers authored by Tracey J. Brown

Since Specialization

Citations

This map shows the geographic impact of Tracey 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 Tracey 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 Tracey J. Brown more than expected).

Fields of papers citing papers by Tracey J. Brown

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

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