Sha Hao
Impact in
- Nephrology top 5%
- Obstetrics and Gynecology top 5%
- Pregnancy and preeclampsia studies
Papers in
- Immunology 26
- Immune Cell Function and Interaction 14
- Reproductive System and Pregnancy 7
- Immune cells in cancer 5
- T-cell and B-cell Immunology 4
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- Renal and related cancers 6
- Epigenetics and DNA Methylation 6
- Co-authors
- Youhua Liu (5 shared papers)Jing Nie (3 shared papers)Michaël Kahn (3 shared papers)Weichun He (3 shared papers)Junli Zhao (6 shared papers)Yayi Hou (10 shared papers)Yali Hu (3 shared papers)Tao Cheng (31 shared papers)
- Journals
- Blood (9 papers)Experimental Hematology (3 papers)Journal of the American Society of Nephrology (3 papers)Leukemia (2 papers)Cellular Immunology (2 papers)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Sha Hao
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 102
- Nephrology 196
- Obstetrics and Gynecology 188
- Hematology 267
- Cancer Research 339
- Immunology 451
Countries citing papers authored by Sha Hao
This map shows the geographic impact of Sha Hao'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 Sha Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sha Hao more than expected).
Fields of papers citing papers by Sha Hao
This network shows the impact of papers produced by Sha Hao. 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 Sha Hao. The network helps show where Sha Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Sha Hao, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 204 | |
| 2 | 2014 | 195 | |
| 3 | 2009 | 175 | |
| 4 | 2012 | 169 | |
| 5 | 2010 | 96 | |
| 6 | 2007 | 93 | |
| 7 | 2015 | 81 | |
| 8 | 2014 | 80 | |
| 9 | 2017 | 64 | |
| 10 | 2015 | 62 | |
| 11 | 2016 | 43 | |
| 12 | 2008 | 40 | |
| 13 | 2015 | 37 | |
| 14 | 2014 | 35 | |
| 15 | 2016 | 32 | |
| 16 | 2021 | 29 | |
| 17 | 2014 | 27 | |
| 18 | 2019 | 27 | |
| 19 | 2018 | 25 | |
| 20 | 2019 | 25 |
About Sha Hao
Sha Hao is a scholar working on Immunology, Molecular Biology, Hematology, Genetics and Obstetrics and Gynecology, having authored 56 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hematopoietic Stem Cell Transplantation (17 papers), Immune Cell Function and Interaction (14 papers), Acute Myeloid Leukemia Research (11 papers), Reproductive System and Pregnancy (7 papers), Renal and related cancers (6 papers), Epigenetics and DNA Methylation (6 papers), Immune cells in cancer (5 papers) and T-cell and B-cell Immunology (4 papers). The work is most often cited by research in Nephrology (196 citations), Obstetrics and Gynecology (188 citations), Hematology (267 citations), Cancer Research (339 citations) and Immunology (451 citations). Sha Hao has collaborated with scholars based in China, United States and France. Frequent co-authors include Youhua Liu, Jing Nie, Michaël Kahn, Weichun He, Junli Zhao, Yayi Hou, Yali Hu, Tao Cheng, Lili Zhou and Fan Fan Hou. Their work appears in journals such as Blood, Experimental Hematology, Journal of the American Society of Nephrology, Leukemia and Cellular 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.