Haiwei Pi
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
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- Neurobiology and Insect Physiology Research
Papers in
-
- Developmental Biology and Gene Regulation 12
- Ubiquitin and proteasome pathways 4
- RNA Research and Splicing 3
- Genomics and Chromatin Dynamics 2
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- Neurobiology and Insect Physiology Research 10
- Co-authors
- Cheng‐Ting Chien (12 shared papers)Chan-Yen Ou (3 shared papers)Margaret S. Ho (2 shared papers)Stanley Fields (1 shared paper)Hui‐Ju Wu (1 shared paper)Yi‐Chun Huang (6 shared papers)Hwei‐Jan Hsu (3 shared papers)Yi Sun (1 shared paper)
- Journals
- Development (5 papers)Nature Communications (2 papers)PLoS Genetics (2 papers)Journal of Biomedical Science (2 papers)Cell Death Discovery (1 paper)
- Partner nations
- TaiwanUnited States
In The Last Decade
Haiwei Pi
24 papers receiving 504 citations
Peers
Comparison fields: 5 of 65
- Aging 48
- Cellular and Molecular Neuroscience 141
- Molecular Biology 386
- Cell Biology 85
- Genetics 79
Countries citing papers authored by Haiwei Pi
This map shows the geographic impact of Haiwei Pi'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 Haiwei Pi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiwei Pi more than expected).
Fields of papers citing papers by Haiwei Pi
This network shows the impact of papers produced by Haiwei Pi. 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 Haiwei Pi. The network helps show where Haiwei Pi may publish in the future.
Co-authors
The 25 scholars most cited alongside Haiwei Pi, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 116 | |
| 2 | 1997 | 52 | |
| 3 | 2001 | 39 | |
| 4 | 2014 | 39 | |
| 5 | 2003 | 37 | |
| 6 | 2004 | 31 | |
| 7 | 2011 | 27 | |
| 8 | 2008 | 20 | |
| 9 | 2020 | 20 | |
| 10 | 2017 | 17 | |
| 11 | 2013 | 15 | |
| 12 | 2017 | 14 | |
| 13 | 2019 | 13 | |
| 14 | 2007 | 12 | |
| 15 | 2011 | 11 | |
| 16 | New insights into polycistronic transcripts in eukaryotes. | 2010 | 11 |
| 17 | 2014 | 9 | |
| 18 | 2011 | 8 | |
| 19 | 2013 | 7 | |
| 20 | 2020 | 7 |
About Haiwei Pi
Haiwei Pi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Genetics, Cell Biology and Plant Science, having authored 26 papers that have together received 512 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (12 papers), Neurobiology and Insect Physiology Research (10 papers), Ubiquitin and proteasome pathways (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Plant Molecular Biology Research (3 papers), RNA Research and Splicing (3 papers), Genetics, Aging, and Longevity in Model Organisms (3 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Aging (48 citations), Cellular and Molecular Neuroscience (141 citations), Molecular Biology (386 citations), Cell Biology (85 citations) and Genetics (79 citations). Haiwei Pi has collaborated with scholars based in Taiwan and United States. Frequent co-authors include Cheng‐Ting Chien, Chan-Yen Ou, Margaret S. Ho, Stanley Fields, Hui‐Ju Wu, Yi‐Chun Huang, Hwei‐Jan Hsu, Yi Sun, Yu‐Han Su and An‐Chi Tien. Their work appears in journals such as Development, Nature Communications, PLoS Genetics, Journal of Biomedical Science and Cell Death Discovery.
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.