Brian E. Reese

410 citations
8 papers · 349 · h-index 7

Impact in

    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Marine Biology and Environmental Chemistry

Papers in

Brian E. Reese

8 papers receiving 344 citations

Peers

Brian E. Reese
Comparison fields: 5 of 63
  • Molecular Biology 270
  • Ocean Engineering 47
  • Cancer Research 39
  • Toxicology 7
  • Health, Toxicology and Mutagenesis 27
Replace Cristina Bruzzo with:
Cristina Bruzzo Italy
Aiai Gao China
Nicoletta Cini Italy
Consuelo Tudela Spain
Ganesan Sathya United States
Y Yu China
Myong‐Ho Jeong South Korea
Lucia Binó Czechia
Nobuo Sakata Japan
Cindy Kukoly United States
Brian E. Reese relative to Cristina Bruzzo Italy Cristina Bruzzo's profile →
Citations per field
00.5×6.8×
Cristina Bruzzo · 1×
Citations per year

Countries citing papers authored by Brian E. Reese

Since Specialization
Citations

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

Fields of papers citing papers by Brian E. Reese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian E. Reese. 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 Brian E. Reese. The network helps show where Brian E. Reese may publish in the future.

Co-authors

The 15 scholars most cited alongside Brian E. Reese, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Brian E. Reese Line = papers co-authored together Brian E. Reese links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2007168
2 200375
3 200639
4 200434
5 200512
6 200611
7 20059
8
Radial and tangential dispersion in the mouse retina is cell-class specific
19941

About Brian E. Reese

Brian E. Reese is a scholar working on Molecular Biology, Organic Chemistry, Ocean Engineering, Cancer Research and Pharmacology, having authored 8 papers that have together received 349 indexed citations. Recurring topics across this work include Organometallic Compounds Synthesis and Characterization (3 papers), Marine Biology and Environmental Chemistry (3 papers), Protease and Inhibitor Mechanisms (2 papers), Environmental Toxicology and Ecotoxicology (1 paper), Cancer therapeutics and mechanisms (1 paper), Microbial Natural Products and Biosynthesis (1 paper), Cell Adhesion Molecules Research (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Molecular Biology (270 citations), Ocean Engineering (47 citations), Cancer Research (39 citations), Toxicology (7 citations) and Health, Toxicology and Mutagenesis (27 citations). Brian E. Reese has collaborated with scholars based in United States, India and Czechia. Frequent co-authors include Dalia I. Hammoudeh, John S. Lazo, Steven J. Metallo, Ariele Viacava Follis, Huabo Wang, Edward V. Prochownik, Jong K. Yun, Kurtis E. Bachman, Stephen B. Baylin and Michael R. Rountree. Their work appears in journals such as Molecular Cancer Therapeutics, Journal of Cellular Biochemistry, Journal of Pharmacology and Experimental Therapeutics, Gene Expression and Molecular Pharmacology.

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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