Hao Jiang
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Reproductive Medicine top 5%
- Sperm and Testicular Function
Papers in
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- Circular RNAs in diseases 20
- RNA Research and Splicing 6
-
- Cancer-related molecular mechanisms research 30
- MicroRNA in disease regulation 28
- Co-authors
- Jiabao Zhang (71 shared papers)Bao Yuan (59 shared papers)Yan Gao (35 shared papers)Chengzhen Chen (27 shared papers)Nam‐Hyung Kim (20 shared papers)Dong‐Xu Han (21 shared papers)Lisheng Dai (11 shared papers)Xuerui Yao (9 shared papers)
- Journals
- Theriogenology (15 papers)Animals (7 papers)Cellular Physiology and Biochemistry (6 papers)Scientific Reports (3 papers)Frontiers in Cell and Developmental Biology (3 papers)
- Partner nations
- ChinaSouth KoreaUnited States
In The Last Decade
Hao Jiang
112 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 118
- Cancer Research 570
- Reproductive Medicine 176
- Agronomy and Crop Science 122
- Molecular Biology 755
- Aging 18
Countries citing papers authored by Hao Jiang
This map shows the geographic impact of Hao Jiang'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 Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Jiang more than expected).
Fields of papers citing papers by Hao Jiang
This network shows the impact of papers produced by Hao Jiang. 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 Jiang. The network helps show where Hao Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hao Jiang, 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 113 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 67 | |
| 2 | 2008 | 48 | |
| 3 | 2018 | 48 | |
| 4 | 2013 | 42 | |
| 5 | 2018 | 39 | |
| 6 | 2017 | 39 | |
| 7 | 2015 | 37 | |
| 8 | 2017 | 37 | |
| 9 | 2014 | 36 | |
| 10 | 2022 | 35 | |
| 11 | 2018 | 34 | |
| 12 | 2016 | 34 | |
| 13 | 2018 | 30 | |
| 14 | 2018 | 29 | |
| 15 | 2018 | 28 | |
| 16 | 2021 | 26 | |
| 17 | 2011 | 25 | |
| 18 | 2020 | 25 | |
| 19 | 2017 | 25 | |
| 20 | 2019 | 24 |
About Hao Jiang
Hao Jiang is a scholar working on Molecular Biology, Cancer Research, Public Health, Environmental and Occupational Health, Genetics and Immunology, having authored 113 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (31 papers), Cancer-related molecular mechanisms research (30 papers), MicroRNA in disease regulation (28 papers), Circular RNAs in diseases (20 papers), Reproductive System and Pregnancy (10 papers), Adipose Tissue and Metabolism (7 papers), Sperm and Testicular Function (7 papers) and RNA Research and Splicing (6 papers). The work is most often cited by research in Cancer Research (570 citations), Reproductive Medicine (176 citations), Agronomy and Crop Science (122 citations), Molecular Biology (755 citations) and Aging (18 citations). Hao Jiang has collaborated with scholars based in China, South Korea and United States. Frequent co-authors include Jiabao Zhang, Bao Yuan, Yan Gao, Chengzhen Chen, Nam‐Hyung Kim, Dong‐Xu Han, Lisheng Dai, Xuerui Yao, Ming-Qiang Xu and Shuang Liang. Their work appears in journals such as Theriogenology, Animals, Cellular Physiology and Biochemistry, Scientific Reports and Frontiers in Cell and Developmental Biology.
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.