Hao Chi
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Immunology top 5%
- Immune cells in cancer
- Immune Cell Function and Interaction
Papers in
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 7
- Immunology 21
- Immune Cell Function and Interaction 7
- Co-authors
- Zhijia Xia (16 shared papers)Gang Tian (17 shared papers)Gaoge Peng (15 shared papers)Guanhu Yang (35 shared papers)Songyun Zhao (11 shared papers)Jinhao Zhang (14 shared papers)Xixi Xie (11 shared papers)Ke Xu (14 shared papers)
- Journals
- Frontiers in Immunology (26 papers)Frontiers in Neurology (5 papers)Frontiers in Pharmacology (5 papers)Aging (4 papers)Frontiers in Molecular Biosciences (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hao Chi
124 papers receiving 3.2k citations
Hao Chi's Hit Papers
Peers
Comparison fields: 5 of 128
- Cancer Research 401
- Immunology 551
- Hepatology 158
- Oncology 534
- Pulmonary and Respiratory Medicine 634
Countries citing papers authored by Hao Chi
This map shows the geographic impact of Hao Chi'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 Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Chi more than expected).
Fields of papers citing papers by Hao Chi
This network shows the impact of papers produced by Hao Chi. 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 Chi. The network helps show where Hao Chi may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Chi, 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 129 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 142 | |
| 2 | 2023 | 112 | |
| 3 | 2022 | 108 | |
| 4 | 2022 | 87 | |
| 5 | 2023 | 73 | |
| 6 | 2024 | 71 | |
| 7 | 2023 | 67 | |
| 8 | 2023 | 66 | |
| 9 | 2023 | 64 | |
| 10 | 2023 | 63 | |
| 11 | 2023 | 63 | |
| 12 | 2022 | 60 | |
| 13 | 2022 | 59 | |
| 14 | 2019 | 58 | |
| 15 | 2022 | 56 | |
| 16 | 2023 | 54 | |
| 17 | 2023 | 51 | |
| 18 | 2023 | 51 | |
| 19 | 2023 | 48 | |
| 20 | 2022 | 47 |
About Hao Chi
Hao Chi is a scholar working on Cancer Research, Immunology, Pulmonary and Respiratory Medicine, Oncology and Hepatology, having authored 129 papers that have together received 3.3k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (21 papers), Cancer-related molecular mechanisms research (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Single-cell and spatial transcriptomics (8 papers), RNA modifications and cancer (7 papers), Immune Cell Function and Interaction (7 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (401 citations), Immunology (551 citations), Hepatology (158 citations), Oncology (534 citations) and Pulmonary and Respiratory Medicine (634 citations). Hao Chi has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Zhijia Xia, Gang Tian, Gaoge Peng, Guanhu Yang, Songyun Zhao, Jinhao Zhang, Xixi Xie, Ke Xu, Lai Wei Jiang and Jinyan Yang. Their work appears in journals such as Frontiers in Immunology, Frontiers in Neurology, Frontiers in Pharmacology, Aging and Frontiers in Molecular Biosciences.
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.