Dake Hao
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Biomaterials top 5%
- Electrospun Nanofibers in Biomedical Applications
Papers in
-
- Extracellular vesicles in disease 8
- Angiogenesis and VEGF in Cancer 4
- RNA Interference and Gene Delivery 3
- Surgery 12
- Tissue Engineering and Regenerative Medicine 9
- Co-authors
- Aijun Wang (25 shared papers)Diana L. Farmer (18 shared papers)Priyadarsini Kumar (7 shared papers)Kewa Gao (5 shared papers)Kit S. Lam (11 shared papers)Ruiwu Liu (10 shared papers)Ping Zhou (5 shared papers)Jan A. Nolta (4 shared papers)
- Journals
- Bioactive Materials (4 papers)Frontiers in Bioengineering and Biotechnology (2 papers)ACS Chemical Biology (1 paper)Frontiers in Pharmacology (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Dake Hao
30 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 85
- Cancer Research 268
- Biomaterials 258
- Genetics 139
- Rehabilitation 76
- Molecular Biology 628
Countries citing papers authored by Dake Hao
This map shows the geographic impact of Dake Hao'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 Dake Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dake Hao more than expected).
Fields of papers citing papers by Dake Hao
This network shows the impact of papers produced by Dake Hao. 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 Dake Hao. The network helps show where Dake Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Dake Hao, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 265 | |
| 2 | 2017 | 116 | |
| 3 | 2020 | 60 | |
| 4 | 2020 | 59 | |
| 5 | 2021 | 55 | |
| 6 | 2019 | 47 | |
| 7 | 2017 | 46 | |
| 8 | 2022 | 42 | |
| 9 | 2021 | 38 | |
| 10 | 2019 | 37 | |
| 11 | 2019 | 35 | |
| 12 | 2022 | 33 | |
| 13 | 2019 | 28 | |
| 14 | 2020 | 27 | |
| 15 | 2019 | 24 | |
| 16 | 2022 | 23 | |
| 17 | 2021 | 22 | |
| 18 | 2019 | 20 | |
| 19 | 2021 | 18 | |
| 20 | 2020 | 17 |
About Dake Hao
Dake Hao is a scholar working on Molecular Biology, Surgery, Biomaterials, Cancer Research and Immunology and Allergy, having authored 31 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (9 papers), Extracellular vesicles in disease (8 papers), Electrospun Nanofibers in Biomedical Applications (7 papers), MicroRNA in disease regulation (6 papers), Angiogenesis and VEGF in Cancer (4 papers), Cell Adhesion Molecules Research (4 papers), Wound Healing and Treatments (3 papers) and RNA Interference and Gene Delivery (3 papers). The work is most often cited by research in Cancer Research (268 citations), Biomaterials (258 citations), Genetics (139 citations), Rehabilitation (76 citations) and Molecular Biology (628 citations). Dake Hao has collaborated with scholars based in United States and China. Frequent co-authors include Aijun Wang, Diana L. Farmer, Priyadarsini Kumar, Kewa Gao, Kit S. Lam, Ruiwu Liu, Ping Zhou, Jan A. Nolta, Chuanchao He and Alyssa Panitch. Their work appears in journals such as Bioactive Materials, Frontiers in Bioengineering and Biotechnology, ACS Chemical Biology, Frontiers in Pharmacology and Stem Cell Research & Therapy.
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.