Hang Ruan
Impact in
- Pharmaceutical Science top 1%
- Advancements in Transdermal Drug Delivery
- Advanced Drug Delivery Systems
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- RNA Research and Splicing 7
- Genomics and Phylogenetic Studies 5
- RNA modifications and cancer 5
- CRISPR and Genetic Engineering 3
- RNA and protein synthesis mechanisms 3
-
- Cancer-related molecular mechanisms research 6
- Co-authors
- Leng Han (12 shared papers)Lixia Diao (9 shared papers)Nianping Feng (11 shared papers)Yongtai Zhang (11 shared papers)Zhao Zhang (8 shared papers)Jiaqi Li (7 shared papers)Youqiong Ye (7 shared papers)Shuyao Ruan (6 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Nature Communications (3 papers)Ecological Indicators (2 papers)Marine Drugs (2 papers)Journal of Controlled Release (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hang Ruan
62 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 136
- Pharmaceutical Science 259
- Cancer Research 275
- Dermatology 139
- Molecular Biology 731
- Biomaterials 83
Countries citing papers authored by Hang Ruan
This map shows the geographic impact of Hang Ruan'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 Hang Ruan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Ruan more than expected).
Fields of papers citing papers by Hang Ruan
This network shows the impact of papers produced by Hang Ruan. 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 Hang Ruan. The network helps show where Hang Ruan may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Ruan, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 171 | |
| 2 | 2021 | 120 | |
| 3 | 2021 | 118 | |
| 4 | 2021 | 82 | |
| 5 | 2013 | 68 | |
| 6 | Targeting Cathepsin B for Cancer Therapies. | 2015 | 64 |
| 7 | 2020 | 59 | |
| 8 | 2018 | 58 | |
| 9 | 2021 | 52 | |
| 10 | 2024 | 50 | |
| 11 | 2018 | 44 | |
| 12 | 2023 | 42 | |
| 13 | 2019 | 41 | |
| 14 | 2019 | 39 | |
| 15 | 2018 | 37 | |
| 16 | 2022 | 36 | |
| 17 | 2020 | 36 | |
| 18 | 2019 | 35 | |
| 19 | 2021 | 22 | |
| 20 | 2024 | 20 |
About Hang Ruan
Hang Ruan is a scholar working on Molecular Biology, Cancer Research, Pharmaceutical Science, Dermatology and Immunology, having authored 65 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advancements in Transdermal Drug Delivery (9 papers), RNA Research and Splicing (7 papers), Cancer-related molecular mechanisms research (6 papers), Dermatology and Skin Diseases (5 papers), Genomics and Phylogenetic Studies (5 papers), RNA modifications and cancer (5 papers), CRISPR and Genetic Engineering (3 papers) and RNA and protein synthesis mechanisms (3 papers). The work is most often cited by research in Pharmaceutical Science (259 citations), Cancer Research (275 citations), Dermatology (139 citations), Molecular Biology (731 citations) and Biomaterials (83 citations). Hang Ruan has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Leng Han, Lixia Diao, Nianping Feng, Yongtai Zhang, Zhao Zhang, Jiaqi Li, Youqiong Ye, Shuyao Ruan, Xiaolin Hou and Teng Guo. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Ecological Indicators, Marine Drugs and Journal of Controlled Release.
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.