Xiaoxin Ma
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
Papers in
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- Cancer-related molecular mechanisms research 10
- Cancer, Hypoxia, and Metabolism 2
- MicroRNA in disease regulation 2
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- Endometrial and Cervical Cancer Treatments 9
- Co-authors
- Ting‐Ting Gong (3 shared papers)Qi‐Jun Wu (6 shared papers)Fanfei Kong (11 shared papers)Cuicui Wang (8 shared papers)Jian Ma (9 shared papers)Hui Yang (6 shared papers)Shulan Zhang (2 shared papers)Yizi Wang (3 shared papers)
- Journals
- Cell Death and Disease (3 papers)Aging (3 papers)Frontiers in Genetics (3 papers)BMC Cancer (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Xiaoxin Ma
40 papers receiving 958 citations
Peers
Comparison fields: 5 of 80
- Cancer Research 271
- Obstetrics and Gynecology 151
- Reproductive Medicine 109
- Oncology 228
- Molecular Biology 171
Countries citing papers authored by Xiaoxin Ma
This map shows the geographic impact of Xiaoxin 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 Xiaoxin Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxin Ma more than expected).
Fields of papers citing papers by Xiaoxin Ma
This network shows the impact of papers produced by Xiaoxin 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 Xiaoxin Ma. The network helps show where Xiaoxin Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxin 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 102 | |
| 2 | 2015 | 74 | |
| 3 | 2015 | 65 | |
| 4 | 2015 | 65 | |
| 5 | 2020 | 50 | |
| 6 | 2020 | 50 | |
| 7 | 2018 | 39 | |
| 8 | 2018 | 38 | |
| 9 | 2018 | 36 | |
| 10 | 2021 | 34 | |
| 11 | 2015 | 32 | |
| 12 | 2022 | 29 | |
| 13 | 2020 | 25 | |
| 14 | 2020 | 25 | |
| 15 | 2022 | 25 | |
| 16 | 2020 | 24 | |
| 17 | The PVT1/miR-612/CENP-H/CDK1 axis promotes malignant progression of advanced endometrial cancer. | 2021 | 20 |
| 18 | 2021 | 19 | |
| 19 | 2016 | 18 | |
| 20 | 2023 | 18 |
About Xiaoxin Ma
Xiaoxin Ma is a scholar working on Cancer Research, Obstetrics and Gynecology, Oncology, Reproductive Medicine and Molecular Biology, having authored 41 papers that have together received 977 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), Endometrial and Cervical Cancer Treatments (9 papers), Ovarian cancer diagnosis and treatment (5 papers), Cancer Cells and Metastasis (4 papers), Cancer Risks and Factors (4 papers), Inflammatory Biomarkers in Disease Prognosis (3 papers), Cancer, Hypoxia, and Metabolism (2 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Cancer Research (271 citations), Obstetrics and Gynecology (151 citations), Reproductive Medicine (109 citations), Oncology (228 citations) and Molecular Biology (171 citations). Xiaoxin Ma has collaborated with scholars based in China and United States. Frequent co-authors include Ting‐Ting Gong, Qi‐Jun Wu, Fanfei Kong, Cuicui Wang, Jian Ma, Hui Yang, Shulan Zhang, Yizi Wang, Zixuan Song and Fang Ren. Their work appears in journals such as Cell Death and Disease, Aging, Frontiers in Genetics, BMC Cancer and Scientific Reports.
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.