Casey Brewer

818 total citations
20 papers, 453 citations indexed

About

Casey Brewer is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Casey Brewer has authored 20 papers receiving a total of 453 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Hematology, 5 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Casey Brewer's work include Iron Metabolism and Disorders (7 papers), Hemoglobinopathies and Related Disorders (5 papers) and Trace Elements in Health (3 papers). Casey Brewer is often cited by papers focused on Iron Metabolism and Disorders (7 papers), Hemoglobinopathies and Related Disorders (5 papers) and Trace Elements in Health (3 papers). Casey Brewer collaborates with scholars based in United States, Switzerland and Denmark. Casey Brewer's co-authors include John C. Wood, M L Berman, Maya Otto‐Duessel, Thomas D. Coates, Eric J. Stanbridge, Jaromı́r Pastorek, Silvia Pastoreková, S Y Liao, Alberto Manetta and J Závada and has published in prestigious journals such as Blood, British Journal of Cancer and Cell Reports.

In The Last Decade

Casey Brewer

18 papers receiving 431 citations

Peers

Casey Brewer
Comparison fields: 5 of 69
  • Molecular Biology 164
  • Hematology 136
  • Epidemiology 128
  • Genetics 126
  • Surgery 54
Replace Maria Karvela with:
Maria Karvela United Kingdom
Shinichiro Horiike Japan
Takuji Miyoshi Japan
Ruifang Xu China
Ayşe Özer Türkiye
D S Alberts United States
Vanessa S. Silveira Brazil
Mushtaq Ashraf Pakistan
Malou Philips Denmark
Elizabeth Jordan United States
Maria Karvela United Kingdom View profile →
Citations per field, relative to Casey Brewer
Casey Brewer · 1×
Citations per year, relative to Casey Brewer
Casey Brewer · 1×

Countries citing papers authored by Casey Brewer

Since Specialization
Citations

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

Fields of papers citing papers by Casey Brewer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Casey Brewer

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 2
3 0
4 11
5
MiR-126 Promotes Leukemogenesis in Inv(16) Acute Myeloid Leukemia
3
6 18
7 3
8 14
9 10
10 11
11 31
12 56
13 24
14 42
15 1
16
A randomized, double blind, Phase III trial using oral beta-carotene supplementation for women with high-grade cervical intraepithelial neoplasia.
41
17 16
18 7
19
Identification of the MN antigen as a diagnostic biomarker of cervical intraepithelial squamous and glandular neoplasia and cervical carcinomas.
157
20
The fetal flaw.
1

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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