Brooke Rhead

9.5k total citations
17 papers, 902 citations indexed

About

Brooke Rhead is a scholar working on Molecular Biology, Immunology and Pathology and Forensic Medicine. According to data from OpenAlex, Brooke Rhead has authored 17 papers receiving a total of 902 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Immunology and 3 papers in Pathology and Forensic Medicine. Recurrent topics in Brooke Rhead's work include Epigenetics and DNA Methylation (4 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (3 papers). Brooke Rhead is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), Genomics and Phylogenetic Studies (4 papers) and RNA and protein synthesis mechanisms (3 papers). Brooke Rhead collaborates with scholars based in United States, Sweden and Canada. Brooke Rhead's co-authors include Lisa F. Barcellos, David Haussler, Robert M. Kuhn, Brian J. Raney, Donna Karolchik, Ann S. Zweig, Kate R. Rosenbloom, Angie S. Hinrichs, Hong Quach and Kayla Smith and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and Nature Genetics.

In The Last Decade

Brooke Rhead

17 papers receiving 892 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Brooke Rhead United States	13	506	178	173	155	113	17	902
Monika Chorąży Poland	13	312 0.6×	213 1.2×	97 0.6×	66 0.4×	144 1.3×	49	676
David J. Dow United Kingdom	11	399 0.8×	135 0.8×	185 1.1×	136 0.9×	36 0.3×	15	1.1k
Sarah L. Spain United Kingdom	14	279 0.6×	126 0.7×	265 1.5×	395 2.5×	54 0.5×	17	893
María Isidoro‐García Spain	18	310 0.6×	47 0.3×	87 0.5×	185 1.2×	51 0.5×	90	1.1k
Raffaella Cascella Italy	18	417 0.8×	40 0.2×	92 0.5×	162 1.0×	75 0.7×	67	1000
Judith F. Ashouri United States	13	207 0.4×	132 0.7×	121 0.7×	461 3.0×	55 0.5×	18	941
Mark J. Daly United States	9	352 0.7×	33 0.2×	215 1.2×	263 1.7×	67 0.6×	12	886
Tianqing Kong United States	16	492 1.0×	95 0.5×	171 1.0×	246 1.6×	306 2.7×	21	1.2k
Saparna Pai Australia	15	161 0.3×	91 0.5×	74 0.4×	422 2.7×	52 0.5×	24	848
Mia J. Smith United States	18	215 0.4×	75 0.4×	336 1.9×	469 3.0×	24 0.2×	37	1.0k

Countries citing papers authored by Brooke Rhead

Since Specialization

Citations

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

Fields of papers citing papers by Brooke Rhead

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brooke Rhead

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

All Works

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17 of 17 papers shown

Patel, Jai N., Sarah Morris, Raúl Torres, et al.. (2024). Pharmacogenomic insights in psychiatric care: uncovering novel actionability, allele-specific CYP2D6 copy number variation, and phenoconversion in 15,000 patients. Molecular Psychiatry. 29(11). 3495–3502. 2 indexed citations

Roberts, Genevieve H. L., Raghavendran Partha, Brooke Rhead, et al.. (2022). Expanded COVID-19 phenotype definitions reveal distinct patterns of genetic association and protective effects. Nature Genetics. 54(4). 374–381. 42 indexed citations

Knight, Spencer C., Shannon McCurdy, Brooke Rhead, et al.. (2022). COVID-19 susceptibility and severity risks in a cross-sectional survey of over 500 000 US adults. BMJ Open. 12(10). e049657–e049657. 5 indexed citations

Roostaei, Tina, Hans‐Ulrich Klein, Yiyi Ma, et al.. (2021). Proximal and distal effects of genetic susceptibility to multiple sclerosis on the T cell epigenome. Nature Communications. 12(1). 12 indexed citations

Rhead, Brooke, Xiaorong Shao, Hong Quach, et al.. (2020). Global expression and CpG methylation analysis of primary endothelial cells before and after TNFa stimulation reveals gene modules enriched in inflammatory and infectious diseases and associated DMRs. PLoS ONE. 15(3). e0230884–e0230884. 9 indexed citations

Lanata, Cristina, Ishan Paranjpe, Joanne Nititham, et al.. (2019). A phenotypic and genomics approach in a multi-ethnic cohort to subtype systemic lupus erythematosus. Nature Communications. 10(1). 3902–3902. 38 indexed citations

Rahmani, Elior, Regev Schweiger, Brooke Rhead, et al.. (2019). Cell-type-specific resolution epigenetics without the need for cell sorting or single-cell biology. Nature Communications. 10(1). 3417–3417. 82 indexed citations

Rhead, Brooke, Tone Berge, Hong Quach, et al.. (2018). Increased DNA methylation of SLFN12 in CD4+ and CD8+ T cells from multiple sclerosis patients. PLoS ONE. 13(10). e0206511–e0206511. 34 indexed citations

Gianfrancesco, Milena, M. Maria Glymour, Stefan Walter, et al.. (2017). Causal Effect of Genetic Variants Associated With Body Mass Index on Multiple Sclerosis Susceptibility. American Journal of Epidemiology. 185(3). 162–171. 42 indexed citations

10.

Mok, Amanda, Brooke Rhead, Calliope Holingue, et al.. (2017). Hypomethylation of CYP2E1 and DUSP22 Promoters Associated With Disease Activity and Erosive Disease Among Rheumatoid Arthritis Patients. Arthritis & Rheumatology. 70(4). 528–536. 36 indexed citations

11.

Hinrichs, Angie S., Brian J. Raney, Matthew L Speir, et al.. (2016). UCSC Data Integrator and Variant Annotation Integrator. Bioinformatics. 32(9). 1430–1432. 48 indexed citations

12.

Rhead, Brooke, Maria Bäärnhielm, Milena Gianfrancesco, et al.. (2016). Mendelian randomization shows a causal effect of low vitamin D on multiple sclerosis risk. Neurology Genetics. 2(5). e97–e97. 144 indexed citations

13.

Rhead, Brooke, Calliope Holingue, Michael B. Cole, et al.. (2016). Rheumatoid Arthritis Naive T Cells Share Hypermethylation Sites With Synoviocytes. Arthritis & Rheumatology. 69(3). 550–559. 41 indexed citations

14.

Rosenbloom, Kate R., Timothy R. Dreszer, Michael Pheasant, et al.. (2009). ENCODE whole-genome data in the UCSC Genome Browser. Nucleic Acids Research. 38(Database). D620–D625. 263 indexed citations

15.

Trumbower, Heather, et al.. (2006). Variation resources at UC Santa Cruz. Nucleic Acids Research. 35(Database). D716–D720. 17 indexed citations

16.

Thomas, Daniel, Kate R. Rosenbloom, Hiram Clawson, et al.. (2006). The ENCODE Project at UC Santa Cruz. Nucleic Acids Research. 35(Database). D663–D667. 66 indexed citations

17.

Keith, John M., Hariharan Venkatesan, Alejandro Santillán, et al.. (2004). Identification of Novel Inhibitors of Bacterial Translation Elongation Factors. Antimicrobial Agents and Chemotherapy. 49(1). 131–136. 21 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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