Hao Ling
Impact in
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
-
- Circular RNAs in diseases
- Extracellular vesicles in disease
- Congenital heart defects research
Papers in
-
- Extracellular vesicles in disease 3
-
- Atherosclerosis and Cardiovascular Diseases 3
- Immune cells in cancer 2
- Co-authors
- Chunli Song (9 shared papers)Ziyuan Guo (7 shared papers)Shuangshuang Du (3 shared papers)Yongfeng Shi (1 shared paper)Lei Zhang (1 shared paper)Zhile Wang (1 shared paper)Qingyu Hou (1 shared paper)Siqian Yang (2 shared papers)
- Journals
- Pharmacological Research (1 paper)Frontiers in Physiology (1 paper)Wireless Networks (1 paper)PLoS ONE (1 paper)Advanced Functional Materials (1 paper)
- Partner nations
- ChinaUnited KingdomCanada
In The Last Decade
Hao Ling
15 papers receiving 305 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 111
- Molecular Biology 194
- Biological Psychiatry 4
- Cardiology and Cardiovascular Medicine 35
- Immunology 27
Countries citing papers authored by Hao Ling
This map shows the geographic impact of Hao Ling'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 Hao Ling with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ling more than expected).
Fields of papers citing papers by Hao Ling
This network shows the impact of papers produced by Hao Ling. 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 Hao Ling. The network helps show where Hao Ling may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Ling, 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 | 2020 | 80 | |
| 2 | 2020 | 63 | |
| 3 | 2020 | 34 | |
| 4 | 2012 | 23 | |
| 5 | 2020 | 23 | |
| 6 | 2014 | 21 | |
| 7 | 2020 | 21 | |
| 8 | 2020 | 17 | |
| 9 | 2025 | 7 | |
| 10 | 2019 | 6 | |
| 11 | 2023 | 4 | |
| 12 | 2020 | 4 | |
| 13 | 2025 | 3 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 | |
| 19 | 2025 | 0 |
About Hao Ling
Hao Ling is a scholar working on Molecular Biology, Immunology, Cardiology and Cardiovascular Medicine, Cancer Research and Computer Networks and Communications, having authored 19 papers that have together received 308 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), MicroRNA in disease regulation (3 papers), Cardiovascular Disease and Adiposity (2 papers), Opportunistic and Delay-Tolerant Networks (2 papers), Immune cells in cancer (2 papers), Mobile Ad Hoc Networks (2 papers) and Advanced X-ray and CT Imaging (1 paper). The work is most often cited by research in Cancer Research (111 citations), Molecular Biology (194 citations), Biological Psychiatry (4 citations), Cardiology and Cardiovascular Medicine (35 citations) and Immunology (27 citations). Hao Ling has collaborated with scholars based in China, United Kingdom and Canada. Frequent co-authors include Chunli Song, Ziyuan Guo, Shuangshuang Du, Yongfeng Shi, Lei Zhang, Zhile Wang, Qingyu Hou, Siqian Yang, Jing Zhou and Chao Ding. Their work appears in journals such as Pharmacological Research, Frontiers in Physiology, Wireless Networks, PLoS ONE and Advanced Functional Materials.
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.