Ben Readhead

5.5k citations
57 papers · 4.3k · 3 hit papers · h-index 28

Impact in

Papers in

    • Alzheimer's disease research and treatments 14
    • Dermatology and Skin Diseases 5

Ben Readhead

55 papers receiving 4.2k citations

Ben Readhead's Hit Papers

Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus 2018 · 555 citations
5550+3+6Years since publication250500750

Peers

Ben Readhead
Comparison fields: 5 of 121
  • Psychiatry and Mental health 652
  • Neurology 280
  • Physiology 761
  • Computational Theory and Mathematics 449
  • Genetics 631
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Ben Readhead, 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 Ben Readhead Line = papers co-authored together Ben Readhead links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Gene expression elucidates functional impact of polygenic risk for schizophrenia
Hit paper breakdown →
2016829
2
Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus
Hit paper breakdown →
2018555
3 2017394
4 2016262
5
In silico methods for drug repurposing and pharmacology
Hit paper breakdown →
2016254
6 2015124
7 2020122
8 2016117
9 2016109
10 2018105
11 2016104
12 201797
13 201986
14 201682
15 201571
16 201669
17 201767
18 201866
19 201965
20 201862

About Ben Readhead

Ben Readhead is a scholar working on Physiology, Dermatology, Genetics, Computational Theory and Mathematics and Psychiatry and Mental health, having authored 57 papers that have together received 4.3k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (14 papers), Computational Drug Discovery Methods (8 papers), Estrogen and related hormone effects (6 papers), Dermatology and Skin Diseases (5 papers), Schizophrenia research and treatment (5 papers), Bioinformatics and Genomic Networks (5 papers), Genetic Associations and Epidemiology (5 papers) and Multiple Myeloma Research and Treatments (4 papers). The work is most often cited by research in Psychiatry and Mental health (652 citations), Neurology (280 citations), Physiology (761 citations), Computational Theory and Mathematics (449 citations) and Genetics (631 citations). Ben Readhead has collaborated with scholars based in United States, Sweden and Russia. Frequent co-authors include Joel T. Dudley, Khader Shameer, Brian A. Kidd, Rachel A. Hodos, Winnie S. Liang, Michelle E. Ehrlich, Eric E. Schadt, Jean‐Vianney Haure‐Mirande, Sam Gandy and Cory C. Funk. Their work appears in journals such as Molecular Psychiatry, Blood, Neuron, Cell Reports and Acta Neuropathologica.

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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