Hao Cai
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Hepatology top 5%
- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
-
- Cancer-related molecular mechanisms research 8
- Oncology 24
- Colorectal Cancer Treatments and Studies 6
- Cancer Immunotherapy and Biomarkers 6
- Co-authors
- Kui Luo (18 shared papers)Zhongwei Gu (13 shared papers)Hu Zhang (11 shared papers)Qiyong Gong (16 shared papers)Long Fang Ren (4 shared papers)Xuelei Ma (3 shared papers)Zhilin Li (2 shared papers)Hui‐Chuan Sun (15 shared papers)
- Journals
- Oncotarget (7 papers)Scientific Reports (5 papers)ACS Applied Materials & Interfaces (3 papers)Advanced Science (3 papers)Journal of Hematology & Oncology (3 papers)
- Partner nations
- ChinaUnited StatesEthiopia
In The Last Decade
Hao Cai
128 papers receiving 4.3k citations
Hao Cai's Hit Papers
Peers
Comparison fields: 5 of 148
- Biomaterials 690
- Hepatology 307
- Cancer Research 545
- Immunology 667
- Biomedical Engineering 1.2k
Countries citing papers authored by Hao Cai
This map shows the geographic impact of Hao Cai'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 Cai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Cai more than expected).
Fields of papers citing papers by Hao Cai
This network shows the impact of papers produced by Hao Cai. 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 Cai. The network helps show where Hao Cai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Cai, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Immunogenic Cell Death Activates the Tumor Immune Microenvironment to Boost the Immunotherapy Efficiency Hit paper breakdown → | 2022 | 566 |
| 2 | 2012 | 254 | |
| 3 | 2020 | 189 | |
| 4 | 2018 | 183 | |
| 5 | 2017 | 173 | |
| 6 | 2017 | 161 | |
| 7 | 2022 | 140 | |
| 8 | 2021 | 135 | |
| 9 | 2021 | 117 | |
| 10 | 2021 | 103 | |
| 11 | 2019 | 86 | |
| 12 | 2021 | 86 | |
| 13 | 2018 | 78 | |
| 14 | 2015 | 76 | |
| 15 | 2022 | 75 | |
| 16 | 2017 | 67 | |
| 17 | 2017 | 67 | |
| 18 | 2011 | 65 | |
| 19 | 2018 | 65 | |
| 20 | 2018 | 62 |
About Hao Cai
Hao Cai is a scholar working on Cancer Research, Oncology, Biomaterials, Hepatology and Molecular Biology, having authored 128 papers that have together received 4.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (14 papers), Nanoparticle-Based Drug Delivery (13 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Cancer-related molecular mechanisms research (8 papers), Colorectal Cancer Treatments and Studies (6 papers), Cancer Immunotherapy and Biomarkers (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Biomaterials (690 citations), Hepatology (307 citations), Cancer Research (545 citations), Immunology (667 citations) and Biomedical Engineering (1.2k citations). Hao Cai has collaborated with scholars based in China, United States and Ethiopia. Frequent co-authors include Kui Luo, Zhongwei Gu, Hu Zhang, Qiyong Gong, Long Fang Ren, Xuelei Ma, Zhilin Li, Hui‐Chuan Sun, Xiaoqin Lai and Tilman Wolf. Their work appears in journals such as Oncotarget, Scientific Reports, ACS Applied Materials & Interfaces, Advanced Science and Journal of Hematology & Oncology.
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.