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
-
- Single-cell and spatial transcriptomics 8
- RNA modifications and cancer 7
-
- Ferroptosis and cancer prognosis 19
- 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 (24 papers)Frontiers in Neurology (5 papers)Frontiers in Pharmacology (5 papers)Frontiers in Genetics (4 papers)Aging (4 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Hao Chi
112 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 373
- Immunology 509
- Pulmonary and Respiratory Medicine 572
- Oncology 486
- Hepatology 100
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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 109 | |
| 2 | 2022 | 103 | |
| 3 | 2022 | 83 | |
| 4 | 2023 | 68 | |
| 5 | 2023 | 64 | |
| 6 | 2023 | 64 | |
| 7 | 2023 | 62 | |
| 8 | 2023 | 60 | |
| 9 | 2022 | 59 | |
| 10 | 2023 | 59 | |
| 11 | 2022 | 57 | |
| 12 | 2022 | 55 | |
| 13 | 2019 | 54 | |
| 14 | 2023 | 52 | |
| 15 | 2024 | 50 | |
| 16 | 2023 | 50 | |
| 17 | 2023 | 49 | |
| 18 | 2023 | 48 | |
| 19 | 2023 | 45 | |
| 20 | 2023 | 43 |
About Hao Chi
Hao Chi is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Immunology, Oncology and Cancer Research, having authored 117 papers that have together received 2.7k indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (19 papers), Cancer-related molecular mechanisms research (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Single-cell and spatial transcriptomics (8 papers), MicroRNA in disease regulation (7 papers), RNA modifications and cancer (7 papers), Immune cells in cancer (7 papers) and Hepatocellular Carcinoma Treatment and Prognosis (6 papers). The work is most often cited by research in Cancer Research (373 citations), Immunology (509 citations), Pulmonary and Respiratory Medicine (572 citations), Oncology (486 citations) and Hepatology (100 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 Jiang and Jinyan Yang. Their work appears in journals such as Frontiers in Immunology, Frontiers in Neurology, Frontiers in Pharmacology, Frontiers in Genetics and Aging.
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.