Haiwang Yang
Impact in
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- Genetic diversity and population structure
- Evolution and Genetic Dynamics
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- Genomics and Phylogenetic Studies
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
Papers in
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- RNA and protein synthesis mechanisms 7
- RNA Research and Splicing 6
- Genomics and Phylogenetic Studies 5
- Genomics and Chromatin Dynamics 5
- Genetics 3
- Co-authors
- Dacheng Tian (4 shared papers)Jian‐Qun Chen (3 shared papers)Joy Bergelson (1 shared paper)Yue Wu (1 shared paper)Martin Kreitman (1 shared paper)Zhe Ji (2 shared papers)Emily K. Stroup (2 shared papers)Qianru Li (2 shared papers)
- Journals
- Molecular Biology and Evolution (2 papers)G3 Genes Genomes Genetics (1 paper)BMC Genomics (1 paper)Nature Communications (1 paper)Genetics (1 paper)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Haiwang Yang
13 papers receiving 271 citations
Peers
Comparison fields: 5 of 56
- Genetics 88
- Molecular Biology 198
- Aging 5
- Plant Science 55
- Cancer Research 20
Countries citing papers authored by Haiwang Yang
This map shows the geographic impact of Haiwang Yang'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 Haiwang Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwang Yang more than expected).
Fields of papers citing papers by Haiwang Yang
This network shows the impact of papers produced by Haiwang Yang. 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 Haiwang Yang. The network helps show where Haiwang Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiwang Yang, 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 | 2009 | 104 | |
| 2 | 2018 | 32 | |
| 3 | 2024 | 27 | |
| 4 | 2022 | 24 | |
| 5 | 2010 | 20 | |
| 6 | 2014 | 15 | |
| 7 | 2019 | 13 | |
| 8 | 2015 | 12 | |
| 9 | 2008 | 7 | |
| 10 | 2003 | 6 | |
| 11 | 2011 | 5 | |
| 12 | 2011 | 4 | |
| 13 | 2017 | 3 |
About Haiwang Yang
Haiwang Yang is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Computational Theory and Mathematics and Immunology, having authored 13 papers that have together received 272 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (7 papers), RNA Research and Splicing (6 papers), Genomics and Phylogenetic Studies (5 papers), Genomics and Chromatin Dynamics (5 papers), Neurobiology and Insect Physiology Research (2 papers), Invertebrate Immune Response Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper) and Quantum-Dot Cellular Automata (1 paper). The work is most often cited by research in Genetics (88 citations), Molecular Biology (198 citations), Aging (5 citations), Plant Science (55 citations) and Cancer Research (20 citations). Haiwang Yang has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Dacheng Tian, Jian‐Qun Chen, Joy Bergelson, Yue Wu, Martin Kreitman, Zhe Ji, Emily K. Stroup, Qianru Li, Brian Oliver and Kenneth Y. Kaneshiro. Their work appears in journals such as Molecular Biology and Evolution, G3 Genes Genomes Genetics, BMC Genomics, Nature Communications and 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.