Sen Hong
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
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- Cancer-related gene regulation 3
- Protein Degradation and Inhibitors 2
- RNA Interference and Gene Delivery 2
- Circular RNAs in diseases 2
- Ion channel regulation and function 2
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- Cancer-related molecular mechanisms research 5
- Co-authors
- Miaomiao Bi (9 shared papers)Pingwei Zhao (3 shared papers)Yuyang Lin (2 shared papers)Lei Wang (4 shared papers)Chenguang Li (1 shared paper)Lei Wang (1 shared paper)Ming Li (1 shared paper)Yanfang Jiang (1 shared paper)
- Journals
- Aging (2 papers)Medicine (1 paper)Disease Markers (1 paper)Nanoscale Research Letters (1 paper)PLoS ONE (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Sen Hong
21 papers receiving 468 citations
Peers
Comparison fields: 5 of 70
- Cancer Research 107
- Immunology 118
- Oncology 94
- Molecular Biology 240
- Sensory Systems 12
Countries citing papers authored by Sen Hong
This map shows the geographic impact of Sen Hong'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 Sen Hong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sen Hong more than expected).
Fields of papers citing papers by Sen Hong
This network shows the impact of papers produced by Sen Hong. 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 Sen Hong. The network helps show where Sen Hong may publish in the future.
Co-authors
The 25 scholars most cited alongside Sen Hong, 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 | 2016 | 127 | |
| 2 | 2014 | 63 | |
| 3 | 2014 | 52 | |
| 4 | 2020 | 30 | |
| 5 | 2013 | 25 | |
| 6 | 2019 | 25 | |
| 7 | 2021 | 23 | |
| 8 | 2018 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2016 | 18 | |
| 11 | 2020 | 14 | |
| 12 | 2019 | 12 | |
| 13 | 2022 | 11 | |
| 14 | 2021 | 10 | |
| 15 | 2018 | 7 | |
| 16 | 2022 | 4 | |
| 17 | 2020 | 3 | |
| 18 | 2014 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2025 | 1 |
About Sen Hong
Sen Hong is a scholar working on Molecular Biology, Cancer Research, Oncology, Epidemiology and Immunology, having authored 22 papers that have together received 469 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), Cancer-related gene regulation (3 papers), Protein Degradation and Inhibitors (2 papers), RNA Interference and Gene Delivery (2 papers), Circular RNAs in diseases (2 papers), Immune Cell Function and Interaction (2 papers), Ion channel regulation and function (2 papers) and Cardiac electrophysiology and arrhythmias (1 paper). The work is most often cited by research in Cancer Research (107 citations), Immunology (118 citations), Oncology (94 citations), Molecular Biology (240 citations) and Sensory Systems (12 citations). Sen Hong has collaborated with scholars based in China and United States. Frequent co-authors include Miaomiao Bi, Pingwei Zhao, Yuyang Lin, Lei Wang, Chenguang Li, Lei Wang, Ming Li, Yanfang Jiang, Yumei Song and Wenwen Zheng. Their work appears in journals such as Aging, Medicine, Disease Markers, Nanoscale Research Letters and PLoS ONE.
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.