Hong Lin
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- Ubiquitin and proteasome pathways
- 14-3-3 protein interactions
- Cell death mechanisms and regulation
Papers in
-
- Ubiquitin and proteasome pathways 8
- Cell death mechanisms and regulation 8
- RNA modifications and cancer 5
- 14-3-3 protein interactions 4
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- Cancer-related molecular mechanisms research 8
- NF-κB Signaling Pathways 6
- Co-authors
- Catheryne Chen (7 shared papers)Ben D.‐M. Chen (5 shared papers)Ting Wang (6 shared papers)Fangyi Long (6 shared papers)Xiang Zhang (9 shared papers)Changzhi Huang (8 shared papers)Wei Zhang (6 shared papers)Weidong Cao (5 shared papers)
- Journals
- Biochemical Journal (4 papers)Journal of the Neurological Sciences (2 papers)Muscle & Nerve (2 papers)Frontiers in Pharmacology (2 papers)Experimental Cell Research (2 papers)
- Partner nations
- ChinaUnited StatesMacao
In The Last Decade
Hong Lin
63 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 428
- Molecular Biology 893
- Neurology 131
- Immunology 176
- Oncology 188
Countries citing papers authored by Hong Lin
This map shows the geographic impact of Hong Lin'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 Hong Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hong Lin more than expected).
Fields of papers citing papers by Hong Lin
This network shows the impact of papers produced by Hong Lin. 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 Hong Lin. The network helps show where Hong Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Hong Lin, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 98 | |
| 2 | 2017 | 89 | |
| 3 | 2010 | 69 | |
| 4 | 1999 | 68 | |
| 5 | 2018 | 55 | |
| 6 | 2016 | 55 | |
| 7 | 2017 | 55 | |
| 8 | 2008 | 51 | |
| 9 | 2002 | 49 | |
| 10 | 2014 | 49 | |
| 11 | 2001 | 45 | |
| 12 | 2010 | 43 | |
| 13 | 2018 | 43 | |
| 14 | 2020 | 41 | |
| 15 | 2015 | 38 | |
| 16 | 2011 | 37 | |
| 17 | 2008 | 34 | |
| 18 | 2001 | 34 | |
| 19 | 2001 | 33 | |
| 20 | 2008 | 32 |
About Hong Lin
Hong Lin is a scholar working on Molecular Biology, Cancer Research, Neurology, Oncology and Epidemiology, having authored 64 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Cancer-related molecular mechanisms research (8 papers), Cell death mechanisms and regulation (8 papers), NF-κB Signaling Pathways (6 papers), Myasthenia Gravis and Thymoma (5 papers), RNA modifications and cancer (5 papers), 14-3-3 protein interactions (4 papers) and Immune Response and Inflammation (4 papers). The work is most often cited by research in Cancer Research (428 citations), Molecular Biology (893 citations), Neurology (131 citations), Immunology (176 citations) and Oncology (188 citations). Hong Lin has collaborated with scholars based in China, United States and Macao. Frequent co-authors include Catheryne Chen, Ben D.‐M. Chen, Ting Wang, Fangyi Long, Xiang Zhang, Changzhi Huang, Wei Zhang, Weidong Cao, Shengkai Huang and Di Wang. Their work appears in journals such as Biochemical Journal, Journal of the Neurological Sciences, Muscle & Nerve, Frontiers in Pharmacology and Experimental Cell Research.
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.