Xiaoli Ma

497 citations
31 papers · 370 · h-index 10

Impact in

  • Hematology top 5%
    • Acute Myeloid Leukemia Research
    • Chronic Myeloid Leukemia Treatments
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

Xiaoli Ma

29 papers receiving 336 citations

Peers

Xiaoli Ma
Comparison fields: 5 of 46
  • Hematology 188
  • Genetics 54
  • Public Health, Environmental and Occupational Health 82
  • Infectious Diseases 50
  • Molecular Biology 132
Replace Yanara Marincevic-Zuniga with:
Yanara Marincevic-Zuniga Sweden
Shunsuke Hatta Japan
Lisandro Lima Ribeiro Brazil
Mio Yano Japan
Gisele Loth Brazil
B Allione Italy
Eglė Gineikienė Lithuania
Fabio Ciceri Italy
Ian Bilmon Australia
Maiko Noguchi Japan
Xiaoli Ma relative to Yanara Marincevic-Zuniga Sweden Yanara Marincevic-Zuniga's profile →
Citations per field
00.5×2×4×6.3×
Yanara Marincevic-Zuniga · 1×
Citations per year

Countries citing papers authored by Xiaoli Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Xiaoli Ma Line = papers co-authored together Xiaoli Ma links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201854
2 202147
3
Cross-reaction of SARS-CoV antigen with autoantibodies in autoimmune diseases.
200440
4 201825
5 201824
6 201924
7 202021
8 202215
9 202015
10 202114
11 202110
12 20199
13 20149
14 20198
15 20247
16 20206
17 20216
18 20216
19 20215
20 20205

About Xiaoli Ma

Xiaoli Ma is a scholar working on Hematology, Public Health, Environmental and Occupational Health, Genetics, Animal Science and Zoology and Infectious Diseases, having authored 31 papers that have together received 370 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (14 papers), Chronic Myeloid Leukemia Treatments (12 papers), Acute Lymphoblastic Leukemia research (10 papers), Protein Degradation and Inhibitors (4 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Hematology (188 citations), Genetics (54 citations), Public Health, Environmental and Occupational Health (82 citations), Infectious Diseases (50 citations) and Molecular Biology (132 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, Jiaqi Chen, Hong Liu, Tong Wang, Wen Teng and Jiancheng Fang. Their work appears in journals such as British Journal of Haematology, Cancer Gene Therapy, Brazilian Journal of Medical and Biological Research, Molecular Carcinogenesis and Frontiers in 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.

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