Lin Huang
- Immunology top 5%
- Immune Cell Function and Interaction 9
- T-cell and B-cell Immunology 7
- Aquaculture disease management and microbiota 7
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms 40
- RNA modifications and cancer 34
- RNA Research and Splicing 24
- DNA and Nucleic Acid Chemistry 6
- Cancer Research top 10%
- Biochemistry top 5%
- Hepatology top 10%
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- Bacterial Genetics and Biotechnology 7
- Co-authors
- David M.J. LilleyIan Nicholas CrispeRobert A. BambaraJohn J. TurchiRichard S. MuranteJia WangRichard A. FlavellGloria Soldevila
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (18 papers)Journal of Biological Chemistry (4 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Lin Huang
103 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 546
- Molecular Biology 1.6k
- Cancer Research 187
- Biochemistry 83
- Hepatology 91
Countries citing papers authored by Lin Huang
This map shows the geographic impact of Lin Huang'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 Lin Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Huang more than expected).
Fields of papers citing papers by Lin Huang
This network shows the impact of papers produced by Lin Huang. 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 Lin Huang. The network helps show where Lin Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lin Huang, 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 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 17 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 5 | |
| 8 | 2023 | 9 | |
| 9 | 2023 | 8 | |
| 10 | 2023 | 3 | |
| 11 | 2023 | 18 | |
| 12 | NAT10 Drives Cisplatin Chemoresistance by Enhancing ac4C-Associated DNA Repair in Bladder Cancerbreakdown → | 2023 | 128 |
| 13 | 2023 | 6 | |
| 14 | 2023 | 14 | |
| 15 | 2022 | 17 | |
| 16 | 2022 | 32 | |
| 17 | 2019 | 20 | |
| 18 | 2019 | 110 | |
| 19 | 2019 | 7 | |
| 20 | 2011 | 3 |
About Lin Huang
Lin Huang is a scholar working on Immunology, Molecular Biology and Structural Biology, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (40 papers), RNA modifications and cancer (34 papers), RNA Research and Splicing (24 papers), Immune Cell Function and Interaction (9 papers), T-cell and B-cell Immunology (7 papers), Aquaculture disease management and microbiota (7 papers), Bacterial Genetics and Biotechnology (7 papers) and DNA and Nucleic Acid Chemistry (6 papers). The work is most often cited by research in Immunology (546 citations), Molecular Biology (1.6k citations) and Cancer Research (187 citations). Lin Huang has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include David M.J. Lilley, Ian Nicholas Crispe, Robert A. Bambara, John J. Turchi, Richard S. Murante, Jia Wang, Richard A. Flavell, Gloria Soldevila, Yoonhee Kim and James P. Morgan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.