Chloe Robins

2.5k total citations · 1 hit paper
12 papers, 396 citations indexed

About

Chloe Robins is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Chloe Robins has authored 12 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Physiology. Recurrent topics in Chloe Robins's work include Epigenetics and DNA Methylation (7 papers), Genetic Associations and Epidemiology (6 papers) and Bioinformatics and Genomic Networks (4 papers). Chloe Robins is often cited by papers focused on Epigenetics and DNA Methylation (7 papers), Genetic Associations and Epidemiology (6 papers) and Bioinformatics and Genomic Networks (4 papers). Chloe Robins collaborates with scholars based in United States, Australia and Canada. Chloe Robins's co-authors include Philip L. De Jager, Thomas S. Wingo, Aliza P. Wingo, David A. Bennett, Michael P. Epstein, Karen N. Conneely, Ekaterina S. Gerasimov, Nicholas T. Seyfried, Eric B. Dammer and Allan I. Levey and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Chloe Robins

10 papers receiving 393 citations

Hit Papers

Integrating human brain proteomes with genome-wide associ... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chloe Robins United States 8 228 134 82 51 34 12 396
Céline Bellenguez France 11 200 0.9× 199 1.5× 139 1.7× 36 0.7× 18 0.5× 17 450
Roger Willian de Lábio Brazil 12 238 1.0× 90 0.7× 131 1.6× 35 0.7× 28 0.8× 29 430
Jake Gockley United States 10 392 1.7× 224 1.7× 98 1.2× 56 1.1× 50 1.5× 15 629
Xingbin Wang United States 17 235 1.0× 203 1.5× 167 2.0× 67 1.3× 40 1.2× 32 623
Jan Verheijen United States 6 220 1.0× 72 0.5× 155 1.9× 47 0.9× 19 0.6× 8 357
Hunter L. Porter United States 12 357 1.6× 82 0.6× 90 1.1× 82 1.6× 26 0.8× 18 549
Javier Sánchez‐Ruiz de Gordoa Spain 11 215 0.9× 63 0.5× 112 1.4× 69 1.4× 22 0.6× 18 350
Dimitri Avramopoulos United States 11 225 1.0× 198 1.5× 55 0.7× 27 0.5× 19 0.6× 12 487
Brian W. Kunkle United States 11 393 1.7× 261 1.9× 174 2.1× 42 0.8× 21 0.6× 46 632
Patrícia Natália Silva Brazil 14 315 1.4× 123 0.9× 124 1.5× 30 0.6× 75 2.2× 17 502

Countries citing papers authored by Chloe Robins

Since Specialization
Citations

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

Fields of papers citing papers by Chloe Robins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chloe Robins

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

All Works

12 of 12 papers shown
1.
Euesden, Jack, Muhammad Ali, Chloe Robins, et al.. (2025). Patient stratification by genetic risk in Alzheimer’s disease is only effective in the presence of phenotypic heterogeneity. PLoS ONE. 20(1). e0310977–e0310977.
2.
Hüls, Anke, Chloe Robins, Karen N. Conneely, et al.. (2021). Brain DNA Methylation Patterns in CLDN5 Associated With Cognitive Decline. Biological Psychiatry. 91(4). 389–398. 31 indexed citations
3.
Huang, Yanting, Xiaobo Sun, Shaojun Yu, et al.. (2021). A machine learning approach to brain epigenetic analysis reveals kinases associated with Alzheimer’s disease. Nature Communications. 12(1). 4472–4472. 38 indexed citations
4.
Wingo, Aliza P., Yue Liu, Ekaterina S. Gerasimov, et al.. (2021). Integrating human brain proteomes with genome-wide association data implicates new proteins in Alzheimer’s disease pathogenesis. Nature Genetics. 53(2). 143–146. 201 indexed citations breakdown →
5.
Robins, Chloe, Yue Liu, Wen Fan, et al.. (2021). Genetic control of the human brain proteome. The American Journal of Human Genetics. 108(3). 400–410. 48 indexed citations
6.
Hüls, Anke, Chloe Robins, Karen N. Conneely, et al.. (2020). Association between DNA methylation levels in brain tissue and late-life depression in community-based participants. Translational Psychiatry. 10(1). 262–262. 25 indexed citations
7.
Wingo, Aliza P., Yue Liu, Jake Gockley, et al.. (2020). Integrating human brain proteomes and genome‐wide association results implicates new genes in Alzheimer’s disease. Alzheimer s & Dementia. 16(S3). 1 indexed citations
8.
Robins, Chloe, Aliza P. Wingo, Duc M. Duong, et al.. (2020). Identifying novel causal genes and proteins in Alzheimer’s disease. Alzheimer s & Dementia. 16(S3).
9.
Kennedy, Elizabeth M., Michael H. Nichols, Chloe Robins, et al.. (2018). An integrated -omics analysis of the epigenetic landscape of gene expression in human blood cells. BMC Genomics. 19(1). 476–476. 25 indexed citations
10.
Robins, Chloe, Allan F. McRae, Joseph E. Powell, et al.. (2017). Testing Two Evolutionary Theories of Human Aging with DNA Methylation Data. Genetics. 207(4). 1547–1560. 9 indexed citations
11.
Jolly, Amber L., Chi‐Hao Luan, Sara F. Dunne, et al.. (2016). A Genome-wide RNAi Screen for Microtubule Bundle Formation and Lysosome Motility Regulation in Drosophila S2 Cells. Cell Reports. 14(3). 611–620. 5 indexed citations
12.
Robins, Chloe & Karen N. Conneely. (2014). Testing evolutionary models of senescence: traditional approaches and future directions. Human Genetics. 133(12). 1451–1465. 13 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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