Yanhui Hu
Impact in
- Aging top 0.5%
- Genetics, Aging, and Longevity in Model Organisms
- Molecular Biology top 1%
- CRISPR and Genetic Engineering
- Bioinformatics and Genomic Networks
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
Papers in
- Aging 15
- Genetics, Aging, and Longevity in Model Organisms 15
-
- CRISPR and Genetic Engineering 30
- Bioinformatics and Genomic Networks 18
- RNA and protein synthesis mechanisms 15
- Genomics and Phylogenetic Studies 9
- Co-authors
- Norbert PerrimonStephanie E. MohrArunachalam VinayagamJoshua LaBaerI. R. FlockhartAram ComjeanBonnie BergerCharles Roesel
- Journals
- Proceedings of the National Academy of Sciences (21 papers)eLife (10 papers)Nucleic Acids Research (8 papers)G3 Genes Genomes Genetics (7 papers)Cell Reports (6 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Yanhui Hu
136 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Aging 510
- Molecular Biology 4.5k
- Cellular and Molecular Neuroscience 930
- Insect Science 604
- Immunology 876
Countries citing papers authored by Yanhui Hu
This map shows the geographic impact of Yanhui Hu'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 Yanhui Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yanhui Hu more than expected).
Fields of papers citing papers by Yanhui Hu
This network shows the impact of papers produced by Yanhui Hu. 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 Yanhui Hu. The network helps show where Yanhui Hu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yanhui Hu, 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 | 6 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 13 | |
| 5 | 2024 | 8 | |
| 6 | 2023 | 20 | |
| 7 | 2023 | 2 | |
| 8 | 2023 | 29 | |
| 9 | 2022 | 17 | |
| 10 | 2021 | 3 | |
| 11 | 2021 | 7 | |
| 12 | 2020 | 10 | |
| 13 | 2020 | 162 | |
| 14 | 2019 | 38 | |
| 15 | 2018 | 23 | |
| 16 | 2017 | 5 | |
| 17 | 2017 | 14 | |
| 18 | 2016 | 34 | |
| 19 | 2015 | 117 | |
| 20 | 2013 | 65 |
About Yanhui Hu
Yanhui Hu is a scholar working on Aging, Molecular Biology, Immunology, Catalysis and Cellular and Molecular Neuroscience, having authored 141 papers that have together received 6.5k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (30 papers), Bioinformatics and Genomic Networks (18 papers), Genetics, Aging, and Longevity in Model Organisms (15 papers), RNA and protein synthesis mechanisms (15 papers), Invertebrate Immune Response Mechanisms (15 papers), Neurobiology and Insect Physiology Research (14 papers), Advanced Proteomics Techniques and Applications (9 papers) and Genomics and Phylogenetic Studies (9 papers). The work is most often cited by research in Aging (510 citations), Molecular Biology (4.5k citations), Cellular and Molecular Neuroscience (930 citations), Insect Science (604 citations) and Immunology (876 citations). Yanhui Hu has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Norbert Perrimon, Stephanie E. Mohr, Arunachalam Vinayagam, Joshua LaBaer, I. R. Flockhart, Aram Comjean, Bonnie Berger, Charles Roesel, Wei Song and Clemens Bergwitz. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Nucleic Acids Research, G3 Genes Genomes Genetics and Cell Reports.
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.