Hekun Liu
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Peptidase Inhibition and Analysis
Papers in
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- Signaling Pathways in Disease 12
- Oncology 12
- Peptidase Inhibition and Analysis 6
- Cytokine Signaling Pathways and Interactions 3
- Co-authors
- Kun Ping Lu (11 shared papers)Xiao Zhen Zhou (10 shared papers)Min Zheng (12 shared papers)Jichuang Wang (9 shared papers)Long Wang (10 shared papers)Dayun Yang (8 shared papers)Wenxian Lu (8 shared papers)Xin‐Hua Liao (5 shared papers)
- Journals
- Scientific Reports (2 papers)Molecular Carcinogenesis (2 papers)International Journal of Molecular Sciences (2 papers)International Journal of Biological Sciences (2 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Hekun Liu
32 papers receiving 620 citations
Peers
Comparison fields: 5 of 88
- Cancer Research 100
- Oncology 166
- Molecular Biology 358
- Immunology 99
- Hepatology 34
Countries citing papers authored by Hekun Liu
This map shows the geographic impact of Hekun Liu'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 Hekun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hekun Liu more than expected).
Fields of papers citing papers by Hekun Liu
This network shows the impact of papers produced by Hekun Liu. 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 Hekun Liu. The network helps show where Hekun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Hekun Liu, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 57 | |
| 2 | 2017 | 55 | |
| 3 | 2018 | 47 | |
| 4 | 2017 | 47 | |
| 5 | 2005 | 45 | |
| 6 | 2017 | 37 | |
| 7 | 2017 | 33 | |
| 8 | 2021 | 31 | |
| 9 | 2019 | 28 | |
| 10 | 2009 | 27 | |
| 11 | 2018 | 26 | |
| 12 | 2019 | 24 | |
| 13 | 2021 | 17 | |
| 14 | 2009 | 16 | |
| 15 | 2021 | 14 | |
| 16 | 2019 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2007 | 10 | |
| 19 | 2014 | 10 | |
| 20 | 2021 | 10 |
About Hekun Liu
Hekun Liu is a scholar working on Molecular Biology, Oncology, Immunology, Cellular and Molecular Neuroscience and Surgery, having authored 33 papers that have together received 626 indexed citations. Recurring topics across this work include Signaling Pathways in Disease (12 papers), Peptidase Inhibition and Analysis (6 papers), Lipid metabolism and disorders (4 papers), Nerve injury and regeneration (3 papers), Cytokine Signaling Pathways and Interactions (3 papers), Galectins and Cancer Biology (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Lipoproteins and Cardiovascular Health (3 papers). The work is most often cited by research in Cancer Research (100 citations), Oncology (166 citations), Molecular Biology (358 citations), Immunology (99 citations) and Hepatology (34 citations). Hekun Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Kun Ping Lu, Xiao Zhen Zhou, Min Zheng, Jichuang Wang, Long Wang, Dayun Yang, Wenxian Lu, Xin‐Hua Liao, Sizhong Zhang and Asami Kondo. Their work appears in journals such as Scientific Reports, Molecular Carcinogenesis, International Journal of Molecular Sciences, International Journal of Biological Sciences and Cancer Letters.
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.