Xiaorong Ma
Impact in
- Hematology top 10%
- Hematopoietic Stem Cell Transplantation
- Acute Myeloid Leukemia Research
- Iron Metabolism and Disorders
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
Papers in
- Hematology 10
- Acute Myeloid Leukemia Research 5
- Hematopoietic Stem Cell Transplantation 2
- Iron Metabolism and Disorders 2
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- RNA Interference and Gene Delivery 2
- Co-authors
- Dengfeng Gao (5 shared papers)Fuxue Deng (4 shared papers)Wei Jiang (4 shared papers)Yonghong Guo (4 shared papers)Shouping Gong (5 shared papers)Ziwei Lu (3 shared papers)Wanggang Zhang (14 shared papers)Lisha Zhang (2 shared papers)
In The Last Decade
Xiaorong Ma
28 papers receiving 355 citations
Peers
Comparison fields: 5 of 69
- Hematology 80
- Infectious Diseases 107
- Nutrition and Dietetics 55
- Neurology 43
- Immunology 51
Countries citing papers authored by Xiaorong Ma
This map shows the geographic impact of Xiaorong 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 Xiaorong Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaorong Ma more than expected).
Fields of papers citing papers by Xiaorong Ma
This network shows the impact of papers produced by Xiaorong 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 Xiaorong Ma. The network helps show where Xiaorong Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaorong 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 67 | |
| 2 | 2020 | 53 | |
| 3 | 2021 | 41 | |
| 4 | 2004 | 26 | |
| 5 | 2010 | 21 | |
| 6 | 2021 | 21 | |
| 7 | 2020 | 20 | |
| 8 | 2017 | 19 | |
| 9 | 2019 | 17 | |
| 10 | 2015 | 16 | |
| 11 | 2021 | 10 | |
| 12 | 2020 | 9 | |
| 13 | Association of the four common polymorphisms in interleukin-10 (rs1800890, rs1800896, rs1800871, and rs1800872) with non-Hodgkin's lymphoma risk: a meta-analysis. | 2014 | 9 |
| 14 | 2006 | 5 | |
| 15 | [Expression of genes psma6 and slc25a4 in patients with acute monocytic leukemia]. | 2009 | 5 |
| 16 | 2023 | 3 | |
| 17 | 2016 | 3 | |
| 18 | 2023 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2016 | 2 |
About Xiaorong Ma
Xiaorong Ma is a scholar working on Hematology, Molecular Biology, Pathology and Forensic Medicine, Surgery and Oncology, having authored 29 papers that have together received 363 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (5 papers), Lymphoma Diagnosis and Treatment (3 papers), COVID-19 Clinical Research Studies (3 papers), Hematopoietic Stem Cell Transplantation (2 papers), RNA Interference and Gene Delivery (2 papers), Viral-associated cancers and disorders (2 papers), Vascular Malformations and Hemangiomas (2 papers) and Iron Metabolism and Disorders (2 papers). The work is most often cited by research in Hematology (80 citations), Infectious Diseases (107 citations), Nutrition and Dietetics (55 citations), Neurology (43 citations) and Immunology (51 citations). Xiaorong Ma has collaborated with scholars based in China, Pakistan and Macao. Frequent co-authors include Dengfeng Gao, Fuxue Deng, Wei Jiang, Yonghong Guo, Shouping Gong, Ziwei Lu, Wanggang Zhang, Lisha Zhang, Yinxia Chen and Xing-Mei Cao. Their work appears in journals such as Leukemia Research, BMC Oral Health, Frontiers in Pediatrics, Aging and OncoTargets and Therapy.
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.