Yaomei Wang
Impact in
- Genetics top 10%
- Hemoglobinopathies and Related Disorders
- Immunology top 10%
- Immune Cell Function and Interaction
- interferon and immune responses
- Immune cells in cancer
Papers in
-
- Acute Myeloid Leukemia Research 2
- Multiple Myeloma Research and Treatments 2
- Genetics 6
- Hemoglobinopathies and Related Disorders 5
- Co-authors
- Xiuli AnYu-Min HuangLixiang ChenCharles M. RiceXianfang WuNarla MohandasCorrine QuirkMargaret R. MacDonald
- Journals
- Blood (5 papers)Italian Journal of Animal Science (2 papers)British Journal of Haematology (1 paper)Annals of Palliative Medicine (1 paper)Medicine (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yaomei Wang
24 papers receiving 690 citations
Hit Papers
Peers
Comparison fields: 5 of 76
- Genetics 143
- Immunology 234
- Hematology 116
- Physiology 162
- Molecular Biology 316
Countries citing papers authored by Yaomei Wang
This map shows the geographic impact of Yaomei Wang'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 Yaomei Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaomei Wang more than expected).
Fields of papers citing papers by Yaomei Wang
This network shows the impact of papers produced by Yaomei Wang. 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 Yaomei Wang. The network helps show where Yaomei Wang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yaomei Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 4 | |
| 4 | 2023 | 3 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 8 | |
| 7 | 2021 | 8 | |
| 8 | 2021 | 1 | |
| 9 | 2019 | 111 | |
| 10 | 2019 | 14 | |
| 11 | 2018 | 6 | |
| 12 | 2018 | 31 | |
| 13 | 2017 | 9 | |
| 14 | Intrinsic Immunity Shapes Viral Resistance of Stem Cells Hit paper breakdown → | 2017 | 248 |
| 15 | 2017 | 54 | |
| 16 | 2016 | 11 | |
| 17 | 2015 | 3 | |
| 18 | 2015 | 10 | |
| 19 | 2015 | 12 | |
| 20 | 2015 | 22 |
About Yaomei Wang
Yaomei Wang is a scholar working on Hematology, Genetics, Physiology, Immunology and Reproductive Medicine, having authored 26 papers that have together received 696 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (9 papers), Immune Cell Function and Interaction (5 papers), Hemoglobinopathies and Related Disorders (5 papers), Epigenetics and DNA Methylation (4 papers), Pancreatic function and diabetes (3 papers), Acute Myeloid Leukemia Research (2 papers), Multiple Myeloma Research and Treatments (2 papers) and Cancer Immunotherapy and Biomarkers (2 papers). The work is most often cited by research in Genetics (143 citations), Immunology (234 citations), Hematology (116 citations), Physiology (162 citations) and Molecular Biology (316 citations). Yaomei Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xiuli An, Yu-Min Huang, Lixiang Chen, Charles M. Rice, Xianfang Wu, Narla Mohandas, Corrine Quirk, Margaret R. MacDonald, Tony Sun and Melody Li. Their work appears in journals such as Blood, Italian Journal of Animal Science, British Journal of Haematology, Annals of Palliative Medicine and Medicine.
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.