Hao Ai
Impact in
- Reproductive Medicine top 10%
- Ovarian function and disorders
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- Reproductive Biology and Fertility
Papers in
- Hematology 14
- Acute Myeloid Leukemia Research 11
- Chronic Myeloid Leukemia Treatments 3
- Multiple Myeloma Research and Treatments 3
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- Retinoids in leukemia and cellular processes 3
- Co-authors
- Jiabin Liu (1 shared paper)Yun Zhang (1 shared paper)Nan Li (1 shared paper)Haiying Zhang (1 shared paper)Lili Liu (1 shared paper)Cui Li (1 shared paper)Bing Song (1 shared paper)Zhong‐Ze Fang (1 shared paper)
- Journals
- Frontiers in Pharmacology (1 paper)Combinatorial Chemistry & High Throughput Screening (1 paper)Frontiers in Plant Science (1 paper)Cancer Biomarkers (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Hao Ai
46 papers receiving 401 citations
Peers
Comparison fields: 5 of 66
- Reproductive Medicine 43
- Public Health, Environmental and Occupational Health 107
- Obstetrics and Gynecology 21
- Genetics 26
- Endocrine and Autonomic Systems 16
Countries citing papers authored by Hao Ai
This map shows the geographic impact of Hao Ai'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 Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Ai more than expected).
Fields of papers citing papers by Hao Ai
This network shows the impact of papers produced by Hao Ai. 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 Ai. The network helps show where Hao Ai may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Ai, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 101 | |
| 2 | 2014 | 36 | |
| 3 | 2018 | 30 | |
| 4 | 2020 | 30 | |
| 5 | 2018 | 24 | |
| 6 | 2018 | 21 | |
| 7 | 2022 | 18 | |
| 8 | Combined inhibition of FGFR and mTOR pathways is effective in suppressing ovarian cancer. | 2019 | 17 |
| 9 | 2022 | 15 | |
| 10 | 2023 | 10 | |
| 11 | 2019 | 8 | |
| 12 | 2025 | 7 | |
| 13 | 2019 | 6 | |
| 14 | [Expression of autophagy related gene Beclin1 and MAPLC3 in bone marrow mononuclear cells isolated from acute leukemia patients and its significance]. | 2011 | 6 |
| 15 | 2024 | 6 | |
| 16 | 2016 | 6 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2014 | 5 | |
| 20 | 2024 | 4 |
About Hao Ai
Hao Ai is a scholar working on Hematology, Molecular Biology, Genetics, Public Health, Environmental and Occupational Health and Pathology and Forensic Medicine, having authored 51 papers that have together received 407 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (11 papers), Chronic Lymphocytic Leukemia Research (8 papers), Acute Lymphoblastic Leukemia research (5 papers), Hematological disorders and diagnostics (4 papers), Retinoids in leukemia and cellular processes (3 papers), Chronic Myeloid Leukemia Treatments (3 papers), Multiple Myeloma Research and Treatments (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Reproductive Medicine (43 citations), Public Health, Environmental and Occupational Health (107 citations), Obstetrics and Gynecology (21 citations), Genetics (26 citations) and Endocrine and Autonomic Systems (16 citations). Hao Ai has collaborated with scholars based in China and South Korea. Frequent co-authors include Jiabin Liu, Yun Zhang, Nan Li, Haiying Zhang, Lili Liu, Cui Li, Yun Zhang, Bing Song, Zhong‐Ze Fang and Xin Li. Their work appears in journals such as Frontiers in Pharmacology, Combinatorial Chemistry & High Throughput Screening, Frontiers in Plant Science, Cancer Biomarkers and Frontiers in Immunology.
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.