Shannon Brown

38 total papers · 851 total citations
13 papers, 675 citations indexed

About

Shannon Brown is a scholar working on Rheumatology, Surgery and Molecular Biology. According to data from OpenAlex, Shannon Brown has authored 13 papers receiving a total of 675 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Rheumatology, 4 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Shannon Brown's work include Osteoarthritis Treatment and Mechanisms (5 papers), Total Knee Arthroplasty Outcomes (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Shannon Brown is often cited by papers focused on Osteoarthritis Treatment and Mechanisms (5 papers), Total Knee Arthroplasty Outcomes (3 papers) and Inflammatory mediators and NSAID effects (2 papers). Shannon Brown collaborates with scholars based in United States, Canada and Brazil. Shannon Brown's co-authors include Blanka Sharma, Isaac M. Adjei, Lei Wang, Elisabeth Criscuolo Urbinati, Weimin Zhang, Christopher L. Brown, Justin A. MacDonald, Michael P. Walsh, Annegret Ulke‐Lemée and Laura M. Williamson and has published in prestigious journals such as Journal of Biological Chemistry, Biomaterials and Inorganic Chemistry.

In The Last Decade

Shannon Brown

12 papers receiving 668 citations

Hit Papers

Intra-articular targeting... 2019 2026 2021 2023 2019 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Shannon Brown 295 185 144 107 98 13 675
M. V. Kayser 200 0.7× 108 0.6× 366 2.5× 214 2.0× 39 0.4× 25 768
M.F. Harmand 199 0.7× 130 0.7× 169 1.2× 106 1.0× 56 0.6× 25 639
Yiming Zhong 126 0.4× 240 1.3× 171 1.2× 68 0.6× 37 0.4× 25 632
Baoqing Yu 123 0.4× 301 1.6× 103 0.7× 78 0.7× 35 0.4× 15 668
Kuoyang Sun 116 0.4× 224 1.2× 194 1.3× 57 0.5× 166 1.7× 11 656
Lina Guo 140 0.5× 266 1.4× 256 1.8× 38 0.4× 102 1.0× 16 763
Xiaozhong Zhou 57 0.2× 200 1.1× 264 1.8× 57 0.5× 34 0.3× 16 565
Xiankun Cao 74 0.3× 246 1.3× 177 1.2× 55 0.5× 105 1.1× 32 643
Muzhe Li 233 0.8× 192 1.0× 120 0.8× 125 1.2× 16 0.2× 18 571
Caifeng Deng 167 0.6× 337 1.8× 266 1.8× 34 0.3× 44 0.4× 16 791

Countries citing papers authored by Shannon Brown

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shannon Brown

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