Xiaoli Ma
Impact in
- Hematology top 10%
- 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 14
-
- Acute Lymphoblastic Leukemia research 13
- Co-authors
- Yang Zhang (22 shared papers)Xue Chen (24 shared papers)Hongxing Liu (24 shared papers)Panxiang Cao (19 shared papers)Fang Wang (12 shared papers)Wen Teng (6 shared papers)Mingyu Wang (4 shared papers)Yu Zhang (5 shared papers)
- Journals
- Blood (6 papers)Cancer Gene Therapy (4 papers)Cancer (1 paper)Leukemia Research (1 paper)Journal of Medical Virology (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoli Ma
28 papers receiving 274 citations
Peers
Comparison fields: 5 of 51
- Hematology 150
- Genetics 49
- Infectious Diseases 56
- Public Health, Environmental and Occupational Health 74
- Modeling and Simulation 7
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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 37 | |
| 2 | Cross-reaction of SARS-CoV antigen with autoantibodies in autoimmune diseases. | 2004 | 36 |
| 3 | 2021 | 32 | |
| 4 | 2020 | 21 | |
| 5 | 2018 | 21 | |
| 6 | 2019 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2019 | 18 | |
| 9 | 2020 | 11 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 9 | |
| 12 | 2014 | 9 | |
| 13 | 2019 | 8 | |
| 14 | 2019 | 6 | |
| 15 | 2021 | 5 | |
| 16 | 2020 | 5 | |
| 17 | 2019 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2021 | 3 | |
| 20 | 2023 | 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 30 papers that have together received 290 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (15 papers), Chronic Myeloid Leukemia Treatments (14 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 (150 citations), Genetics (49 citations), Infectious Diseases (56 citations), Public Health, Environmental and Occupational Health (74 citations) and Modeling and Simulation (7 citations). Xiaoli Ma has collaborated with scholars based in China and United States. Frequent co-authors include Yang Zhang, Xue Chen, Hongxing Liu, Panxiang Cao, Fang Wang, Wen Teng, Mingyu Wang, Yu Zhang, Jiaqi Chen and Jiancheng Fang. Their work appears in journals such as Blood, Cancer Gene Therapy, Cancer, Leukemia Research and Journal of Medical Virology.
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.