Po‐Ru Loh
- Genetics top 0.05%
- Genetic Associations and Epidemiology 37
- Genetic Mapping and Diversity in Plants and Animals 17
- Genetic and phenotypic traits in livestock 14
- Forensic and Genetic Research 11
- Genomic variations and chromosomal abnormalities 10
- Genomics and Rare Diseases 7
- Immunology top 1%
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 8
- Molecular Biology top 1%
- Bioinformatics and Genomic Networks 9
- Biological Psychiatry top 2%
- Co-authors
- Hilary K. FinucaneAlkes L. PriceBrendan Bulik‐SullivanMark J. DalySoumya RaychaudhuriNghia MillardIlya KorsunskyYuriy Baglaenko
- Cited by
- GeneticsImmunologyCancer Research
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Po‐Ru Loh
73 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 200
- Genetics 7.1k
- Immunology 1.9k
- Cancer Research 1.3k
- Molecular Biology 6.0k
- Biological Psychiatry 147
Countries citing papers authored by Po‐Ru Loh
This map shows the geographic impact of Po‐Ru Loh'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 Po‐Ru Loh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Po‐Ru Loh more than expected).
Fields of papers citing papers by Po‐Ru Loh
This network shows the impact of papers produced by Po‐Ru Loh. 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 Po‐Ru Loh. The network helps show where Po‐Ru Loh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Po‐Ru Loh, 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 | 2026 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 14 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 62 | |
| 6 | 2022 | 35 | |
| 7 | 2021 | 92 | |
| 8 | 2021 | 34 | |
| 9 | 2021 | 13 | |
| 10 | 2020 | 85 | |
| 11 | 2019 | 9 | |
| 12 | Fast, sensitive and accurate integration of single-cell data with Harmonybreakdown → | 2019 | 4105 |
| 13 | 2018 | 93 | |
| 14 | 2017 | 242 | |
| 15 | 2015 | 45 | |
| 16 | 2015 | 268 | |
| 17 | 2014 | 44 | |
| 18 | 2013 | 75 | |
| 19 | Inference of Admixture Parameters in Human Populations Using Weighted Linkage Disequilibrium | 2012 | 2 |
| 20 | 2011 | 6 |
About Po‐Ru Loh
Po‐Ru Loh is a scholar working on Genetics, Archeology and Cancer Research, having authored 76 papers that have together received 15.0k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (37 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers), Genetic and phenotypic traits in livestock (14 papers), Forensic and Genetic Research (11 papers), Genomic variations and chromosomal abnormalities (10 papers), Bioinformatics and Genomic Networks (9 papers), Cancer Genomics and Diagnostics (8 papers) and Genomics and Rare Diseases (7 papers). The work is most often cited by research in Genetics (7.1k citations), Immunology (1.9k citations) and Cancer Research (1.3k citations). Po‐Ru Loh has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Hilary K. Finucane, Alkes L. Price, Brendan Bulik‐Sullivan, Mark J. Daly, Soumya Raychaudhuri, Nghia Millard, Ilya Korsunsky, Yuriy Baglaenko, Jean Fan and Kevin Wei. Their work appears in journals such as Nature, Science and Cell.
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.