Ben Readhead
Impact in
- Biological Psychiatry top 2%
- Tryptophan and brain disorders
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Bioinformatics and Genomic Networks 7
- Genetics 7
- Estrogen and related hormone effects 3
- Co-authors
- Joel T. Dudley (38 shared papers)Khader Shameer (9 shared papers)Brian Kidd (9 shared papers)Rachel Hodos (3 shared papers)Winnie S. Liang (3 shared papers)Michelle E. Ehrlich (6 shared papers)Eric E. Schadt (5 shared papers)Sam Gandy (5 shared papers)
- Journals
- Molecular Psychiatry (4 papers)Blood (3 papers)Oncotarget (2 papers)Acta Neuropathologica (2 papers)PLoS Genetics (2 papers)
- Partner nations
- United StatesSwedenPhilippines
In The Last Decade
Ben Readhead
45 papers receiving 2.7k citations
Ben Readhead's Hit Papers
Peers
Comparison fields: 5 of 131
- Biological Psychiatry 207
- Neurology 370
- Computational Theory and Mathematics 374
- Physiology 510
- Molecular Biology 1.2k
Countries citing papers authored by Ben Readhead
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
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.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiscale Analysis of Independent Alzheimer’s Cohorts Finds Disruption of Molecular, Genetic, and Clinical Networks by Human Herpesvirus Hit paper breakdown → | 2018 | 498 |
| 2 | Necroptosis activation in Alzheimer's disease Hit paper breakdown → | 2017 | 368 |
| 3 | 2016 | 249 | |
| 4 | 2016 | 240 | |
| 5 | 2020 | 108 | |
| 6 | 2016 | 101 | |
| 7 | 2016 | 91 | |
| 8 | 2017 | 89 | |
| 9 | 2016 | 78 | |
| 10 | 2019 | 75 | |
| 11 | 2015 | 69 | |
| 12 | 2018 | 59 | |
| 13 | 2018 | 58 | |
| 14 | 2017 | 58 | |
| 15 | 2014 | 52 | |
| 16 | 2014 | 50 | |
| 17 | 2019 | 48 | |
| 18 | 2017 | 45 | |
| 19 | 2021 | 41 | |
| 20 | 2019 | 30 |
About Ben Readhead
Ben Readhead is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Neurology, having authored 46 papers that have together received 2.7k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (7 papers), Alzheimer's disease research and treatments (6 papers), Computational Drug Discovery Methods (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Tryptophan and brain disorders (5 papers), Multiple Myeloma Research and Treatments (4 papers), Dermatology and Skin Diseases (4 papers) and Estrogen and related hormone effects (3 papers). The work is most often cited by research in Biological Psychiatry (207 citations), Neurology (370 citations), Computational Theory and Mathematics (374 citations), Physiology (510 citations) and Molecular Biology (1.2k citations). Ben Readhead has collaborated with scholars based in United States, Sweden and Philippines. Frequent co-authors include Joel T. Dudley, Khader Shameer, Brian Kidd, Rachel Hodos, Winnie S. Liang, Michelle E. Ehrlich, Eric E. Schadt, Sam Gandy, Jean‐Vianney Haure‐Mirande and Cory C. Funk. Their work appears in journals such as Molecular Psychiatry, Blood, Oncotarget, Acta Neuropathologica and PLoS Genetics.
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.