Ben Readhead

5.7k total citations · 2 hit papers
46 papers, 2.6k citations indexed

About

Ben Readhead is a scholar working on Molecular Biology, Genetics and Computational Theory and Mathematics. According to data from OpenAlex, Ben Readhead has authored 46 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 9 papers in Genetics and 8 papers in Computational Theory and Mathematics. Recurrent topics in Ben Readhead's work include Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Ben Readhead is often cited by papers focused on Computational Drug Discovery Methods (8 papers), Bioinformatics and Genomic Networks (8 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). Ben Readhead collaborates with scholars based in United States, Sweden and Russia. Ben Readhead's co-authors include Joel T. Dudley, Khader Shameer, Brian Kidd, Rachel Hodos, Winnie S. Liang, Eric E. Schadt, Michelle E. Ehrlich, Sam Gandy, Jean‐Vianney Haure‐Mirande and Cory C. Funk and has published in prestigious journals such as Nature Communications, Neuron and Blood.

In The Last Decade

Ben Readhead

45 papers receiving 2.5k citations

Hit Papers

Multiscale Analysis of Independent Alzheimer’s Cohorts Fi... 2017 2026 2020 2023 2018 2017 100 200 300 400
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. Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus
    2018 471 citations Ben Readhead, Jean‐Vianney Haure‐Mirande et al. Neuron profile →
  2. Necroptosis activation in Alzheimer's disease
    2017 357 citations Winnie S. Liang, Ben Readhead et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Readhead United States 23 1.3k 560 405 369 295 46 2.6k
Richard E. Higgs United States 29 1.3k 1.0× 502 0.9× 255 0.6× 424 1.1× 287 1.0× 70 3.0k
Feng Gao China 32 1.1k 0.9× 668 1.2× 607 1.5× 101 0.3× 225 0.8× 138 3.7k
Winnie S. Liang United States 30 2.3k 1.8× 1.3k 2.3× 573 1.4× 123 0.3× 257 0.9× 82 4.0k
Rik van der Kant Netherlands 19 1.5k 1.2× 1.4k 2.5× 341 0.8× 112 0.3× 184 0.6× 29 3.3k
Alessandra Piccini Italy 21 914 0.7× 1.0k 1.8× 211 0.5× 106 0.3× 349 1.2× 39 2.2k
Junguk Hur United States 37 2.6k 2.1× 994 1.8× 289 0.7× 231 0.6× 299 1.0× 141 5.1k
Edward T. Parkin United Kingdom 25 1.3k 1.1× 1.0k 1.8× 285 0.7× 168 0.5× 133 0.5× 55 2.7k
Hua Zhou China 24 1.0k 0.8× 602 1.1× 158 0.4× 94 0.3× 338 1.1× 79 2.4k
Koji Yasojima Canada 22 898 0.7× 1.1k 2.0× 648 1.6× 91 0.2× 581 2.0× 30 3.1k
Stuart Friedrich United States 19 369 0.3× 724 1.3× 131 0.3× 310 0.8× 288 1.0× 37 1.7k

Countries citing papers authored by Ben Readhead

Since Specialization
Citations

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

Fields of papers citing papers by Ben Readhead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Readhead

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Readhead. A scholar is included among the top collaborators of Ben Readhead 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 Ben Readhead. Ben Readhead 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
1.
Wang, Qi, Jerry Antone, Eric Alsop, et al.. (2024). Single cell transcriptomes and multiscale networks from persons with and without Alzheimer’s disease. Nature Communications. 15(1). 5815–5815. 8 indexed citations
2.
3.
Chudakova, Daria A., et al.. (2023). REDD1 (regulated in development and DNA damage 1) modulates the glucocorticoid receptor function in keratinocytes. Experimental Dermatology. 32(10). 1725–1733. 2 indexed citations
4.
Baloni, Priyanka, Cory C. Funk, Ben Readhead, & Nathan D. Price. (2021). Systems modeling of metabolic dysregulation in neurodegenerative diseases. Current Opinion in Pharmacology. 60. 59–65. 7 indexed citations
5.
Lesovaya, Ekaterina A., О. В. Морозова, К. I. Kirsanov, et al.. (2020). A Novel Approach to Safer Glucocorticoid Receptor–Targeted Anti-lymphoma Therapy via REDD1 (Regulated in Development and DNA Damage 1) Inhibition. Molecular Cancer Therapeutics. 19(9). 1898–1908. 8 indexed citations
6.
Voloudakis, Georgios, Veera M. Rajagopal, Ben Readhead, et al.. (2019). Integrative transcriptome imputation reveals tissue-specific and shared biological mechanisms mediating susceptibility to complex traits. Nature Communications. 10(1). 3834–3834. 47 indexed citations
7.
Agarwal, Shivani, Salida Mirzoeva, Ben Readhead, Joel T. Dudley, & Irina Budunova. (2019). PI3K inhibitors protect against glucocorticoid-induced skin atrophy. EBioMedicine. 41. 526–537. 29 indexed citations
8.
Zakirova, Zuchra, Tomas Fanutza, Ben Readhead, et al.. (2018). Mutations in THAP1/DYT6 reveal that diverse dystonia genes disrupt similar neuronal pathways and functions. PLoS Genetics. 14(1). e1007169–e1007169. 57 indexed citations
9.
Haure‐Mirande, Jean‐Vianney, Minghui Wang, Mickaël Audrain, et al.. (2018). Integrative approach to sporadic Alzheimer’s disease: deficiency of TYROBP in cerebral Aβ amyloidosis mouse normalizes clinical phenotype and complement subnetwork molecular pathology without reducing Aβ burden. Molecular Psychiatry. 24(3). 431–446. 58 indexed citations
10.
Shameer, Khader, M. Mercedes Pérez-Rodríguez, Li Li, et al.. (2018). Pharmacological risk factors associated with hospital readmission rates in a psychiatric cohort identified using prescriptome data mining. BMC Medical Informatics and Decision Making. 18(S3). 79–79. 11 indexed citations
11.
Smith, Milo R., Ben Readhead, Joel T. Dudley, & Hirofumi Morishita. (2018). Critical period plasticity-related transcriptional aberrations in schizophrenia and bipolar disorder. Schizophrenia Research. 207. 12–21. 14 indexed citations
12.
Readhead, Ben, Jean‐Vianney Haure‐Mirande, Cory C. Funk, et al.. (2018). Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus. Neuron. 99(1). 64–82.e7. 471 indexed citations breakdown →
13.
Beauvais, Geneviève, Noela Rodríguez-Losada, Ying Lei, et al.. (2017). Exploring the Interaction Between eIF2α Dysregulation, Acute Endoplasmic Reticulum Stress and DYT1 Dystonia in the Mammalian Brain. Neuroscience. 371. 455–468. 28 indexed citations
14.
Ruderfer, Douglas M., Alexander W. Charney, Ben Readhead, et al.. (2016). Polygenic overlap between schizophrenia risk and antipsychotic response: a genomic medicine approach. The Lancet Psychiatry. 3(4). 350–357. 90 indexed citations
15.
Scarpa, Joseph R., Peng Jiang, Bojan Losic, et al.. (2016). Systems Genetic Analyses Highlight a TGFβ-FOXO3 Dependent Striatal Astrocyte Network Conserved across Species and Associated with Stress, Sleep, and Huntington’s Disease. PLoS Genetics. 12(7). e1006137–e1006137. 21 indexed citations
16.
Talukdar, Husain A., Hassan Foroughi Asl, Rajeev Jain, et al.. (2016). Cross-Tissue Regulatory Gene Networks in Coronary Artery Disease. Cell Systems. 2(3). 196–208. 96 indexed citations
17.
Yadav, Kamlesh K., Khader Shameer, Ben Readhead, et al.. (2016). Systems Medicine Approaches to Improving Understanding, Treatment, and Clinical Management of Neuroendocrine Prostate Cancer. Current Pharmaceutical Design. 22(34). 5234–5248. 8 indexed citations
18.
19.
Jung, Kenneth, Paea LePendu, William S. Chen, et al.. (2014). Automated Detection of Off-Label Drug Use. PLoS ONE. 9(2). e89324–e89324. 48 indexed citations
20.
Readhead, Ben & Joel T. Dudley. (2013). Translational Bioinformatics Approaches to Drug Development. Advances in Wound Care. 2(9). 470–489. 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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