Lin Huan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Cancer, Hypoxia, and Metabolism
-
- RNA modifications and cancer
- Circular RNAs in diseases
- RNA Research and Splicing
- Epigenetics and DNA Methylation
Papers in
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- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 6
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- Circular RNAs in diseases 6
- RNA modifications and cancer 4
- Protein Degradation and Inhibitors 1
- Co-authors
- Linhui Liang (12 shared papers)Xianghuo He (13 shared papers)Shenglin Huang (9 shared papers)Yangjun Wu (6 shared papers)Linguo Xu (4 shared papers)Ye Xu (2 shared papers)Tianan Guo (2 shared papers)Chunyang Bao (4 shared papers)
- Journals
- Cancer Letters (2 papers)Toxicology and Applied Pharmacology (2 papers)Oncotarget (2 papers)Cancer Science (2 papers)Hepatology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Lin Huan
22 papers receiving 931 citations
Peers
Comparison fields: 5 of 86
- Cancer Research 597
- Molecular Biology 608
- Oncology 78
- Hepatology 20
- Immunology 47
Countries citing papers authored by Lin Huan
This map shows the geographic impact of Lin Huan'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 Huan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lin Huan more than expected).
Fields of papers citing papers by Lin Huan
This network shows the impact of papers produced by Lin Huan. 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 Huan. The network helps show where Lin Huan may publish in the future.
Co-authors
The 25 scholars most cited alongside Lin Huan, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 152 | |
| 2 | 2020 | 126 | |
| 3 | 2020 | 72 | |
| 4 | 2015 | 72 | |
| 5 | 2019 | 66 | |
| 6 | 2015 | 62 | |
| 7 | 2019 | 60 | |
| 8 | 2020 | 60 | |
| 9 | 2015 | 50 | |
| 10 | 2019 | 48 | |
| 11 | 2014 | 31 | |
| 12 | 2021 | 23 | |
| 13 | 2016 | 21 | |
| 14 | 2021 | 19 | |
| 15 | 2023 | 14 | |
| 16 | 2022 | 13 | |
| 17 | 2020 | 13 | |
| 18 | 2017 | 9 | |
| 19 | 2013 | 8 | |
| 20 | 2019 | 7 |
About Lin Huan
Lin Huan is a scholar working on Cancer Research, Molecular Biology, Oncology, Cell Biology and Organic Chemistry, having authored 22 papers that have together received 935 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Circular RNAs in diseases (6 papers), MicroRNA in disease regulation (6 papers), RNA modifications and cancer (4 papers), Cancer Cells and Metastasis (3 papers), Protein Degradation and Inhibitors (1 paper), Inflammatory mediators and NSAID effects (1 paper) and Quinazolinone synthesis and applications (1 paper). The work is most often cited by research in Cancer Research (597 citations), Molecular Biology (608 citations), Oncology (78 citations), Hepatology (20 citations) and Immunology (47 citations). Lin Huan has collaborated with scholars based in China and United States. Frequent co-authors include Linhui Liang, Xianghuo He, Shenglin Huang, Yangjun Wu, Linguo Xu, Ye Xu, Tianan Guo, Chunyang Bao, Jinjun Li and Ming Yao. Their work appears in journals such as Cancer Letters, Toxicology and Applied Pharmacology, Oncotarget, Cancer Science and Hepatology.
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.