Enhui Jin
Impact in
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- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
Papers in
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- Protein Hydrolysis and Bioactive Peptides 2
- CRISPR and Genetic Engineering 2
- RNA and protein synthesis mechanisms 2
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- SARS-CoV-2 detection and testing 2
- SARS-CoV-2 and COVID-19 Research 2
- Co-authors
- Yīmíng Bào (3 shared papers)Wenming Zhao (6 shared papers)Xu Chen (2 shared papers)Gangao Wu (5 shared papers)Jingfa Xiao (1 shared paper)Caixia Yu (1 shared paper)Zhuojing Fan (3 shared papers)Qiancheng Chen (1 shared paper)
- Journals
- Genomics Proteomics & Bioinformatics (3 papers)Nucleic Acids Research (2 papers)Frontiers in Oncology (1 paper)npj Science of Food (1 paper)Biosafety and Health (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Enhui Jin
8 papers receiving 59 citations
Enhui Jin's Hit Papers
Peers
Comparison fields: 5 of 24
- Infectious Diseases 6
- Toxicology 1
- Molecular Biology 18
- Immunology 5
- Cancer Research 3
Countries citing papers authored by Enhui Jin
This map shows the geographic impact of Enhui Jin'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 Enhui Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Enhui Jin more than expected).
Fields of papers citing papers by Enhui Jin
This network shows the impact of papers produced by Enhui Jin. 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 Enhui Jin. The network helps show where Enhui Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Enhui Jin, 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 | The GSA Family in 2025: A Broadened Sharing Platform for Multi-omics and Multimodal Data Hit paper breakdown → | 2025 | 41 |
| 2 | 2023 | 5 | |
| 3 | 2023 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2025 | 1 | |
| 8 | 2024 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2025 | 0 |
About Enhui Jin
Enhui Jin is a scholar working on Molecular Biology, Infectious Diseases, Nutrition and Dietetics, Insect Science and Cardiology and Cardiovascular Medicine, having authored 11 papers that have together received 59 indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (2 papers), Biochemical Analysis and Sensing Techniques (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), CRISPR and Genetic Engineering (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), RNA and protein synthesis mechanisms (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Meat and Animal Product Quality (1 paper). The work is most often cited by research in Infectious Diseases (6 citations), Toxicology (1 citation), Molecular Biology (18 citations), Immunology (5 citations) and Cancer Research (3 citations). Enhui Jin has collaborated with scholars based in China and United States. Frequent co-authors include Yīmíng Bào, Wenming Zhao, Xu Chen, Gangao Wu, Jingfa Xiao, Caixia Yu, Zhuojing Fan, Qiancheng Chen, Yubo Zhou and Yanling Sun. Their work appears in journals such as Genomics Proteomics & Bioinformatics, Nucleic Acids Research, Frontiers in Oncology, npj Science of Food and Biosafety and Health.
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.