Shixing Ma
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
Papers in
-
- Extracellular vesicles in disease 5
- RNA Interference and Gene Delivery 2
-
- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Wei Su (4 shared papers)Li Liao (8 shared papers)Weidong Tian (8 shared papers)Chuan Ma (6 shared papers)Huaqiang Zhao (6 shared papers)Jian Yang (7 shared papers)Yanni Wang (2 shared papers)Xiaotao Xing (6 shared papers)
- Journals
- Acta Biomaterialia (2 papers)International Journal of Nanomedicine (2 papers)Frontiers in Pharmacology (2 papers)Clinica Chimica Acta (2 papers)Journal of Materials Chemistry B (2 papers)
- Partner nations
- ChinaUnited StatesRomania
In The Last Decade
Shixing Ma
25 papers receiving 723 citations
Shixing Ma's Hit Papers
Peers
Comparison fields: 5 of 96
- Nephrology 83
- Complementary and Manual Therapy 21
- Cancer Research 111
- Orthopedics and Sports Medicine 41
- Biological Psychiatry 11
Countries citing papers authored by Shixing Ma
This map shows the geographic impact of Shixing 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 Shixing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shixing Ma more than expected).
Fields of papers citing papers by Shixing Ma
This network shows the impact of papers produced by Shixing 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 Shixing Ma. The network helps show where Shixing Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Shixing 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 93 | |
| 2 | Targeting Lactobacillus johnsonii to reverse chronic kidney disease Hit paper breakdown → | 2024 | 76 |
| 3 | 2023 | 69 | |
| 4 | 2020 | 65 | |
| 5 | 2019 | 51 | |
| 6 | 2019 | 47 | |
| 7 | 2022 | 43 | |
| 8 | 2022 | 34 | |
| 9 | 2020 | 29 | |
| 10 | 2019 | 28 | |
| 11 | 2021 | 26 | |
| 12 | 2020 | 24 | |
| 13 | 2024 | 23 | |
| 14 | 2018 | 20 | |
| 15 | 2022 | 16 | |
| 16 | 2018 | 16 | |
| 17 | 2023 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2023 | 13 | |
| 20 | 2019 | 9 |
About Shixing Ma
Shixing Ma is a scholar working on Molecular Biology, Nephrology, Genetics, Oncology and Oral Surgery, having authored 25 papers that have together received 726 indexed citations. Recurring topics across this work include Extracellular vesicles in disease (5 papers), Chronic Kidney Disease and Diabetes (3 papers), Mesenchymal stem cell research (3 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Liver Disease Diagnosis and Treatment (2 papers), RNA Interference and Gene Delivery (2 papers), Connective tissue disorders research (2 papers) and Electrospun Nanofibers in Biomedical Applications (2 papers). The work is most often cited by research in Nephrology (83 citations), Complementary and Manual Therapy (21 citations), Cancer Research (111 citations), Orthopedics and Sports Medicine (41 citations) and Biological Psychiatry (11 citations). Shixing Ma has collaborated with scholars based in China, United States and Romania. Frequent co-authors include Wei Su, Li Liao, Weidong Tian, Chuan Ma, Huaqiang Zhao, Jian Yang, Yanni Wang, Xiaotao Xing, Xun Xu and Haisen Huang. Their work appears in journals such as Acta Biomaterialia, International Journal of Nanomedicine, Frontiers in Pharmacology, Clinica Chimica Acta and Journal of Materials Chemistry B.
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.