Joshua Chiou
- Genetics top 5%
- Genetic Associations and Epidemiology 5
- Diabetes and associated disorders 4
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- Diabetes Management and Research 3
- Cancer Research top 10%
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 6
- Single-cell and spatial transcriptomics 4
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 3
- Surgery top 10%
- Pancreatic function and diabetes 9
- Co-authors
- Kyle J. GaultonSebastian PreißlMichael MillerYunjiang QiuBing RenMei-Lin OkinoMaike SanderYang Eric Li
- Partner nations
- United StatesFinlandGermany
In The Last Decade
Joshua Chiou
21 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Genetics 566
- Endocrinology, Diabetes and Metabolism 261
- Cancer Research 180
- Molecular Biology 812
- Surgery 289
Countries citing papers authored by Joshua Chiou
This map shows the geographic impact of Joshua Chiou'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 Joshua Chiou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Chiou more than expected).
Fields of papers citing papers by Joshua Chiou
This network shows the impact of papers produced by Joshua Chiou. 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 Joshua Chiou. The network helps show where Joshua Chiou may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua Chiou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 3 | |
| 5 | 2023 | 15 | |
| 6 | 2022 | 31 | |
| 7 | 2021 | 88 | |
| 8 | 2021 | 14 | |
| 9 | 2021 | 18 | |
| 10 | Interpreting type 1 diabetes risk with genetics and single-cell epigenomicsbreakdown → | 2021 | 205 |
| 11 | 2021 | 89 | |
| 12 | A single-cell atlas of chromatin accessibility in the human genomebreakdown → | 2021 | 200 |
| 13 | 2021 | 61 | |
| 14 | 2021 | 34 | |
| 15 | 2019 | 135 | |
| 16 | 2019 | 15 | |
| 17 | 2019 | 73 | |
| 18 | 2019 | 47 | |
| 19 | Type 2 diabetes genetic loci informed by multi-trait associations point to disease mechanisms and subtypes: A soft clustering analysisbreakdown → | 2018 | 305 |
| 20 | 2015 | 10 |
About Joshua Chiou
Joshua Chiou is a scholar working on Genetics, Cancer Research and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 1.4k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (9 papers), Epigenetics and DNA Methylation (6 papers), Genetic Associations and Epidemiology (5 papers), Single-cell and spatial transcriptomics (4 papers), Diabetes and associated disorders (4 papers), Diabetes Management and Research (3 papers), RNA Research and Splicing (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Genetics (566 citations), Endocrinology, Diabetes and Metabolism (261 citations) and Cancer Research (180 citations). Joshua Chiou has collaborated with scholars based in United States, Finland and Germany. Frequent co-authors include Kyle J. Gaulton, Sebastian Preißl, Michael Miller, Yunjiang Qiu, Bing Ren, Mei-Lin Okino, Maike Sander, Yang Eric Li, Allen Wang and David U. Gorkin. Their work appears in journals such as Nature, Cell and Journal of Biological Chemistry.
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.