Diane Brown

99 total papers · 3.1k total citations
47 papers, 1.7k citations indexed

About

Diane Brown is a scholar working on Ophthalmology, Epidemiology and Infectious Diseases. According to data from OpenAlex, Diane Brown has authored 47 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ophthalmology, 9 papers in Epidemiology and 7 papers in Infectious Diseases. Recurrent topics in Diane Brown's work include Retinal Diseases and Treatments (6 papers), Renal Transplantation Outcomes and Treatments (6 papers) and Ocular Diseases and Behçet’s Syndrome (5 papers). Diane Brown is often cited by papers focused on Retinal Diseases and Treatments (6 papers), Renal Transplantation Outcomes and Treatments (6 papers) and Ocular Diseases and Behçet’s Syndrome (5 papers). Diane Brown collaborates with scholars based in United States, United Kingdom and Switzerland. Diane Brown's co-authors include Mark Michels, Jeffrey S. Heier, Peter K. Kaiser, G. Soubrane, Mark M. Zalupski, Cornelius J. McGinn, Daniel P. Normolle, Theodore S. Lawrence, Jennifer E. Thorne and Frederic E. Eckhäuser and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Oncology and The Journal of Cell Biology.

In The Last Decade

Diane Brown

45 papers receiving 1.6k citations

Author Peers

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

Author Last Decade Papers Cites
Diane Brown 655 438 327 311 247 47 1.7k
William D. Hanley 378 0.6× 408 0.9× 272 0.8× 153 0.5× 45 0.2× 39 1.7k
Jong‐Baeck Lim 234 0.4× 179 0.4× 320 1.0× 139 0.4× 31 0.1× 62 1.5k
Thomas Licht 183 0.3× 92 0.2× 712 2.2× 169 0.5× 88 0.4× 63 1.8k
Ethan M. Weinberg 85 0.1× 57 0.1× 152 0.5× 604 1.9× 566 2.3× 51 1.5k
Rachel Bishop 127 0.2× 69 0.2× 349 1.1× 304 1.0× 166 0.7× 51 1.3k
Dev M. Desai 29 0.0× 105 0.2× 488 1.5× 153 0.5× 187 0.8× 71 2.2k
Ashley Frazer‐Abel 116 0.2× 126 0.3× 113 0.3× 189 0.6× 12 0.0× 60 1.5k
Christophe Legendre 21 0.0× 100 0.2× 244 0.7× 361 1.2× 137 0.6× 63 1.7k
C. Darrell Jennings 40 0.1× 108 0.2× 300 0.9× 105 0.3× 23 0.1× 58 1.8k
Martin W. Oster 47 0.1× 79 0.2× 404 1.2× 255 0.8× 19 0.1× 30 1.4k

Countries citing papers authored by Diane Brown

Since Specialization
Citations

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

Fields of papers citing papers by Diane Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diane Brown

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