Fengxia Ma
Impact in
- Genetics top 2%
- Mesenchymal stem cell research
- Cancer Research top 5%
- MicroRNA in disease regulation
Papers in
-
- Pluripotent Stem Cells Research 4
- Extracellular vesicles in disease 4
- Genetics 13
- Mesenchymal stem cell research 12
- Co-authors
- Zhongchao Han (27 shared papers)Weian Zhao (3 shared papers)Linan Liu (3 shared papers)Hongbo R. Luo (11 shared papers)Qian Ren (10 shared papers)Rongxia Guo (7 shared papers)Hiroto Kambara (4 shared papers)Zongjin Li (8 shared papers)
- Journals
- Cytotherapy (4 papers)Nature Communications (2 papers)Stem Cells and Development (2 papers)Blood Cells Molecules and Diseases (1 paper)Stem Cell Research & Therapy (1 paper)
- Partner nations
- ChinaUnited StatesFrance
In The Last Decade
Fengxia Ma
49 papers receiving 2.2k citations
Fengxia Ma's Hit Papers
Peers
Comparison fields: 5 of 109
- Genetics 350
- Cancer Research 438
- Immunology 583
- Developmental Biology 51
- Molecular Biology 1.2k
Countries citing papers authored by Fengxia Ma
This map shows the geographic impact of Fengxia 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 Fengxia Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengxia Ma more than expected).
Fields of papers citing papers by Fengxia Ma
This network shows the impact of papers produced by Fengxia 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 Fengxia Ma. The network helps show where Fengxia Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Fengxia 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Single-cell transcriptome profiling reveals neutrophil heterogeneity in homeostasis and infection Hit paper breakdown → | 2020 | 517 |
| 2 | Elucidation of Exosome Migration Across the Blood–Brain Barrier Model In Vitro Hit paper breakdown → | 2016 | 432 |
| 3 | 2018 | 320 | |
| 4 | 2008 | 93 | |
| 5 | 2015 | 80 | |
| 6 | 2016 | 79 | |
| 7 | 2021 | 70 | |
| 8 | 2017 | 64 | |
| 9 | 2012 | 57 | |
| 10 | 2015 | 50 | |
| 11 | 2010 | 48 | |
| 12 | 2017 | 45 | |
| 13 | 2024 | 34 | |
| 14 | 2018 | 33 | |
| 15 | 2018 | 28 | |
| 16 | 2013 | 27 | |
| 17 | 2021 | 24 | |
| 18 | 2012 | 21 | |
| 19 | 2009 | 20 | |
| 20 | 2018 | 18 |
About Fengxia Ma
Fengxia Ma is a scholar working on Molecular Biology, Genetics, Immunology, Hematology and Cancer Research, having authored 50 papers that have together received 2.2k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (12 papers), Immune Response and Inflammation (8 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (7 papers), Hematopoietic Stem Cell Transplantation (5 papers), MicroRNA in disease regulation (5 papers), Pluripotent Stem Cells Research (4 papers), Extracellular vesicles in disease (4 papers) and Bone and Joint Diseases (4 papers). The work is most often cited by research in Genetics (350 citations), Cancer Research (438 citations), Immunology (583 citations), Developmental Biology (51 citations) and Molecular Biology (1.2k citations). Fengxia Ma has collaborated with scholars based in China, United States and France. Frequent co-authors include Zhongchao Han, Weian Zhao, Linan Liu, Hongbo R. Luo, Qian Ren, Rongxia Guo, Hiroto Kambara, Zongjin Li, Hongbo Yu and Na Liu. Their work appears in journals such as Cytotherapy, Nature Communications, Stem Cells and Development, Blood Cells Molecules and Diseases and Stem Cell Research & 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.