Xiaoya Ma
Impact in
- Hematology top 10%
- Iron Metabolism and Disorders
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
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- Gut microbiota and health 2
-
- Cancer, Hypoxia, and Metabolism 3
- Cancer-related molecular mechanisms research 3
- Co-authors
- Yatrik M. Shah (7 shared papers)Gabriel Núñez (3 shared papers)Naohiro Inohara (2 shared papers)Nupur K. Das (4 shared papers)Andrew J. Schwartz (3 shared papers)Daniel Triner (2 shared papers)Joel K. Greenson (2 shared papers)Richard M. Mortensen (2 shared papers)
- Journals
- mSystems (2 papers)International Journal of Molecular Sciences (2 papers)Journal of Biological Chemistry (2 papers)Nature Communications (1 paper)iScience (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Xiaoya Ma
26 papers receiving 846 citations
Peers
Comparison fields: 5 of 95
- Hematology 125
- Cancer Research 142
- Nutrition and Dietetics 89
- Immunology 101
- Molecular Biology 316
Countries citing papers authored by Xiaoya Ma
This map shows the geographic impact of Xiaoya 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 Xiaoya Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoya Ma more than expected).
Fields of papers citing papers by Xiaoya Ma
This network shows the impact of papers produced by Xiaoya 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 Xiaoya Ma. The network helps show where Xiaoya Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoya 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 223 | |
| 2 | 2018 | 130 | |
| 3 | 2019 | 76 | |
| 4 | 2019 | 58 | |
| 5 | 2014 | 51 | |
| 6 | 2017 | 43 | |
| 7 | 2022 | 32 | |
| 8 | 2023 | 32 | |
| 9 | 2017 | 31 | |
| 10 | 2023 | 19 | |
| 11 | 2013 | 18 | |
| 12 | 2019 | 18 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 16 | |
| 15 | 2020 | 15 | |
| 16 | 2023 | 11 | |
| 17 | 2021 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2023 | 10 | |
| 20 | 2024 | 8 |
About Xiaoya Ma
Xiaoya Ma is a scholar working on Molecular Biology, Cancer Research, Surgery, Epidemiology and Agronomy and Crop Science, having authored 27 papers that have together received 854 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Iron Metabolism and Disorders (3 papers), Cancer-related molecular mechanisms research (3 papers), Reproductive Physiology in Livestock (2 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Gut microbiota and health (2 papers), Lipid metabolism and biosynthesis (2 papers) and Helicobacter pylori-related gastroenterology studies (2 papers). The work is most often cited by research in Hematology (125 citations), Cancer Research (142 citations), Nutrition and Dietetics (89 citations), Immunology (101 citations) and Molecular Biology (316 citations). Xiaoya Ma has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Yatrik M. Shah, Gabriel Núñez, Naohiro Inohara, Nupur K. Das, Andrew J. Schwartz, Daniel Triner, Joel K. Greenson, Richard M. Mortensen, Justin A. Colacino and Amanda Sankar. Their work appears in journals such as mSystems, International Journal of Molecular Sciences, Journal of Biological Chemistry, Nature Communications and iScience.
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.