Xiaoli Ma
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Chronic Myeloid Leukemia Treatments
-
- Myeloproliferative Neoplasms: Diagnosis and Treatment
Papers in
- Hematology 19
- Acute Myeloid Leukemia Research 15
- Chronic Myeloid Leukemia Treatments 13
-
- Acute Lymphoblastic Leukemia research 13
- Co-authors
- Xue Chen (24 shared papers)Yang Zhang (22 shared papers)Hongxing Liu (25 shared papers)Fang Wang (12 shared papers)Panxiang Cao (20 shared papers)Wen Teng (6 shared papers)Jiaqi Chen (15 shared papers)Tong Wang (5 shared papers)
- Journals
- Blood (7 papers)Cancer Gene Therapy (4 papers)Blood Cancer Journal (1 paper)Brazilian Journal of Medical and Biological Research (1 paper)Hematological Oncology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoli Ma
28 papers receiving 293 citations
Peers
Comparison fields: 5 of 47
- Hematology 142
- Genetics 46
- Public Health, Environmental and Occupational Health 70
- Infectious Diseases 46
- Molecular Biology 101
Countries citing papers authored by Xiaoli Ma
This map shows the geographic impact of Xiaoli Ma'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 Xiaoli Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoli Ma more than expected).
Fields of papers citing papers by Xiaoli Ma
This network shows the impact of papers produced by Xiaoli Ma. 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 Xiaoli Ma. The network helps show where Xiaoli Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoli Ma, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 40 | |
| 2 | Cross-reaction of SARS-CoV antigen with autoantibodies in autoimmune diseases. | 2004 | 36 |
| 3 | 2021 | 35 | |
| 4 | 2018 | 22 | |
| 5 | 2020 | 21 | |
| 6 | 2018 | 21 | |
| 7 | 2019 | 19 | |
| 8 | 2019 | 19 | |
| 9 | 2020 | 12 | |
| 10 | 2021 | 11 | |
| 11 | 2022 | 10 | |
| 12 | 2014 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 8 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2019 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2021 | 3 |
About Xiaoli Ma
Xiaoli Ma is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Molecular Biology, Genetics and Genetics, having authored 31 papers that have together received 308 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (13 papers), Acute Lymphoblastic Leukemia research (13 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Animal Virus Infections Studies (4 papers), Protein Degradation and Inhibitors (3 papers), Chronic Lymphocytic Leukemia Research (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Hematology (142 citations), Genetics (46 citations), Public Health, Environmental and Occupational Health (70 citations), Infectious Diseases (46 citations) and Molecular Biology (101 citations). Xiaoli Ma has collaborated with scholars based in China and United States. Frequent co-authors include Xue Chen, Yang Zhang, Hongxing Liu, Fang Wang, Panxiang Cao, Wen Teng, Jiaqi Chen, Tong Wang, Yu Zhang and Mingyu Wang. Their work appears in journals such as Blood, Cancer Gene Therapy, Blood Cancer Journal, Brazilian Journal of Medical and Biological Research and Hematological Oncology.
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.