Casey J. Brown

1.8k total citations · 1 hit paper
8 papers, 1.6k citations indexed

About

Casey J. Brown is a scholar working on Organic Chemistry, Inorganic Chemistry and Social Psychology. According to data from OpenAlex, Casey J. Brown has authored 8 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Organic Chemistry, 5 papers in Inorganic Chemistry and 2 papers in Social Psychology. Recurrent topics in Casey J. Brown's work include Supramolecular Chemistry and Complexes (5 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers) and Neuroendocrine regulation and behavior (2 papers). Casey J. Brown is often cited by papers focused on Supramolecular Chemistry and Complexes (5 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers) and Neuroendocrine regulation and behavior (2 papers). Casey J. Brown collaborates with scholars based in United States and Italy. Casey J. Brown's co-authors include Kenneth N. Raymond, Robert G. Bergman, F. Dean Toste, Z. Jane Wang, Miles W. Johnson, Gregory M. Miller and Elizabeth Gould and has published in prestigious journals such as Chemical Reviews, Journal of the American Chemical Society and eLife.

In The Last Decade

Casey J. Brown

8 papers receiving 1.6k citations

Hit Papers

Supramolecular Catalysis in Metal–Ligand Cluster Hosts 2015 2026 2018 2022 2015 250 500 750 1000
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. Supramolecular Catalysis in Metal–Ligand Cluster Hosts
    2015 1.1k citations Casey J. Brown, F. Dean Toste et al. Chemical Reviews profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Casey J. Brown United States 5 1.3k 672 555 411 275 8 1.6k
Salvatore Zarra United Kingdom 17 1.3k 1.0× 671 1.0× 679 1.2× 573 1.4× 319 1.2× 22 1.7k
William Cullen United Kingdom 15 989 0.7× 522 0.8× 449 0.8× 390 0.9× 242 0.9× 17 1.2k
M.J. Wiester United States 14 1.2k 0.9× 678 1.0× 671 1.2× 321 0.8× 216 0.8× 15 1.9k
Hiroki Takezawa Japan 20 979 0.7× 476 0.7× 620 1.1× 324 0.8× 271 1.0× 41 1.4k
Barry A. Blight Canada 22 1.2k 0.9× 497 0.7× 833 1.5× 514 1.3× 281 1.0× 46 1.9k
T. Riis‐Johannessen United Kingdom 28 1.3k 1.0× 857 1.3× 630 1.1× 525 1.3× 207 0.8× 51 1.9k
Harald Maid Germany 25 1.2k 0.9× 920 1.4× 794 1.4× 363 0.9× 165 0.6× 60 2.0k
Felix J. Rizzuto United Kingdom 22 1.1k 0.8× 538 0.8× 596 1.1× 445 1.1× 363 1.3× 50 1.7k
Edmundo G. Percástegui Mexico 16 813 0.6× 436 0.6× 522 0.9× 340 0.8× 195 0.7× 27 1.2k
Masahiro Yamashina Japan 15 1.1k 0.8× 381 0.6× 519 0.9× 509 1.2× 296 1.1× 30 1.3k

Countries citing papers authored by Casey J. Brown

Since Specialization
Citations

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

Fields of papers citing papers by Casey J. Brown

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of Casey J. Brown. A scholar is included among the top collaborators of Casey 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 Casey J. Brown. Casey J. Brown is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
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3.
Brown, Casey J., et al.. (2016). Improved scope and diastereoselectivity of C–H activation in an expanded supramolecular host. Supramolecular chemistry. 28(1-2). 188–191. 2 indexed citations
4.
Brown, Casey J., F. Dean Toste, Robert G. Bergman, & Kenneth N. Raymond. (2015). Supramolecular Catalysis in Metal–Ligand Cluster Hosts. Chemical Reviews. 115(9). 3012–3035. 1076 indexed citations breakdown →
5.
Raymond, Kenneth N. & Casey J. Brown. (2011). Inner and Outer Beauty. Topics in current chemistry. 323. 1–18. 10 indexed citations
6.
Wang, Z. Jane, Casey J. Brown, Robert G. Bergman, Kenneth N. Raymond, & F. Dean Toste. (2011). Hydroalkoxylation Catalyzed by a Gold(I) Complex Encapsulated in a Supramolecular Host. Journal of the American Chemical Society. 133(19). 7358–7360. 190 indexed citations
7.
Brown, Casey J., Gregory M. Miller, Miles W. Johnson, Robert G. Bergman, & Kenneth N. Raymond. (2011). High-Turnover Supramolecular Catalysis by a Protected Ruthenium(II) Complex in Aqueous Solution. Journal of the American Chemical Society. 133(31). 11964–11966. 99 indexed citations
8.
Brown, Casey J., Robert G. Bergman, & Kenneth N. Raymond. (2009). Enantioselective Catalysis of the Aza-Cope Rearrangement by a Chiral Supramolecular Assembly. Journal of the American Chemical Society. 131(48). 17530–17531. 202 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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