Yaming Xi
Impact in
-
- Mesenchymal stem cell research
-
- Lymphoma Diagnosis and Treatment
Papers in
- Hematology 10
- Hemophilia Treatment and Research 3
- Acute Myeloid Leukemia Research 3
- Multiple Myeloma Research and Treatments 2
- Co-authors
- Zijian Li (11 shared papers)Ting Liu (3 shared papers)Shengfu Li (1 shared paper)Chunxia Liu (2 shared papers)Wentong Meng (1 shared paper)Yongmei Liu (2 shared papers)Xiaoxi Lu (2 shared papers)Zhao Li (2 shared papers)
- Journals
- Medicine (4 papers)Haemophilia (2 papers)Blood (2 papers)PeerJ (2 papers)Anti-Cancer Drugs (2 papers)
- Partner nations
- China
In The Last Decade
Yaming Xi
44 papers receiving 310 citations
Peers
Comparison fields: 5 of 61
- Genetics 49
- Pathology and Forensic Medicine 70
- Hematology 42
- Oncology 65
- Dermatology 21
Countries citing papers authored by Yaming Xi
This map shows the geographic impact of Yaming Xi'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 Yaming Xi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yaming Xi more than expected).
Fields of papers citing papers by Yaming Xi
This network shows the impact of papers produced by Yaming Xi. 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 Yaming Xi. The network helps show where Yaming Xi may publish in the future.
Co-authors
The 25 scholars most cited alongside Yaming Xi, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 52 | |
| 2 | 2009 | 37 | |
| 3 | 2023 | 34 | |
| 4 | 2007 | 20 | |
| 5 | 2011 | 19 | |
| 6 | 2019 | 17 | |
| 7 | 2025 | 14 | |
| 8 | 2023 | 13 | |
| 9 | 2020 | 11 | |
| 10 | 2021 | 9 | |
| 11 | 2021 | 8 | |
| 12 | 2024 | 6 | |
| 13 | [Relationship of MPO and NQO1 gene polymorphisms with susceptibility to acute leukemia]. | 2012 | 5 |
| 14 | 2019 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2022 | 5 | |
| 17 | 2022 | 5 | |
| 18 | [Methylation of P15INK4B gene in patients with myelodysplastic syndromes and demethylating effects of drugs]. | 2007 | 4 |
| 19 | 2019 | 4 | |
| 20 | 2023 | 4 |
About Yaming Xi
Yaming Xi is a scholar working on Hematology, Immunology, Pathology and Forensic Medicine, Genetics and Molecular Biology, having authored 52 papers that have together received 318 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Epigenetics and DNA Methylation (4 papers), Hemophilia Treatment and Research (3 papers), Acute Myeloid Leukemia Research (3 papers), CAR-T cell therapy research (2 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Multiple Myeloma Research and Treatments (2 papers). The work is most often cited by research in Genetics (49 citations), Pathology and Forensic Medicine (70 citations), Hematology (42 citations), Oncology (65 citations) and Dermatology (21 citations). Yaming Xi has collaborated with scholars based in China. Frequent co-authors include Zijian Li, Ting Liu, Shengfu Li, Chunxia Liu, Wentong Meng, Yongmei Liu, Xiaoxi Lu, Zhao Li, Ling Gu and Huanling Zhu. Their work appears in journals such as Medicine, Haemophilia, Blood, PeerJ and Anti-Cancer Drugs.
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.