Heping Dai
Impact in
-
- Genetic Neurodegenerative Diseases
- Hereditary Neurological Disorders
- Physiology top 10%
- Reproductive biology and impacts on aquatic species
Papers in
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- Viral Infectious Diseases and Gene Expression in Insects 9
- RNA Interference and Gene Delivery 4
- RNA Research and Splicing 3
- Immunology 16
- Aquaculture disease management and microbiota 13
- Invertebrate Immune Response Mechanisms 10
- Co-authors
- Qian Pan (11 shared papers)Qionglin Guo (5 shared papers)Beisha Tang (4 shared papers)Xiuxia Zhou (4 shared papers)Xiaohua Zhang (10 shared papers)Jiahui Xia (5 shared papers)Zhigao Long (11 shared papers)Lu Shen (1 shared paper)
- Journals
- Toxicological Sciences (3 papers)Human Genetics (2 papers)Biosensors and Bioelectronics (2 papers)Acta Biochimica et Biophysica Sinica (2 papers)Aquatic Toxicology (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Heping Dai
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 109
- Cellular and Molecular Neuroscience 267
- Physiology 49
- Immunology 212
- Aging 12
- Molecular Biology 456
Countries citing papers authored by Heping Dai
This map shows the geographic impact of Heping Dai'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 Heping Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Heping Dai more than expected).
Fields of papers citing papers by Heping Dai
This network shows the impact of papers produced by Heping Dai. 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 Heping Dai. The network helps show where Heping Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Heping Dai, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 148 | |
| 2 | 2000 | 141 | |
| 3 | 2014 | 73 | |
| 4 | 2000 | 46 | |
| 5 | 2015 | 43 | |
| 6 | 2003 | 42 | |
| 7 | 2010 | 40 | |
| 8 | 2004 | 39 | |
| 9 | 2008 | 36 | |
| 10 | 2012 | 34 | |
| 11 | 2008 | 33 | |
| 12 | 2013 | 30 | |
| 13 | 2013 | 29 | |
| 14 | 2005 | 27 | |
| 15 | 2009 | 26 | |
| 16 | 2009 | 24 | |
| 17 | 2007 | 24 | |
| 18 | 2015 | 23 | |
| 19 | 2023 | 23 | |
| 20 | 2007 | 20 |
About Heping Dai
Heping Dai is a scholar working on Molecular Biology, Immunology, Genetics, Insect Science and Plant Science, having authored 50 papers that have together received 1.1k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (13 papers), Invertebrate Immune Response Mechanisms (10 papers), Viral Infectious Diseases and Gene Expression in Insects (9 papers), Insect symbiosis and bacterial influences (5 papers), RNA Interference and Gene Delivery (4 papers), Virus-based gene therapy research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers) and RNA Research and Splicing (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (267 citations), Physiology (49 citations), Immunology (212 citations), Aging (12 citations) and Molecular Biology (456 citations). Heping Dai has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Qian Pan, Qionglin Guo, Beisha Tang, Xiuxia Zhou, Xiaohua Zhang, Jiahui Xia, Zhigao Long, Lu Shen, Chunyu Liu and Fang Cai. Their work appears in journals such as Toxicological Sciences, Human Genetics, Biosensors and Bioelectronics, Acta Biochimica et Biophysica Sinica and Aquatic Toxicology.
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.