Shiting Ma
Impact in
- Rheumatology top 10%
- Osteoarthritis Treatment and Mechanisms
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Osteoarthritis Treatment and Mechanisms 2
- Osteomyelitis and Bone Disorders Research 1
- Oncology 4
- Bone health and treatments 4
- Co-authors
- Jun Yao (6 shared papers)Gang Zhong (3 shared papers)Huiping Long (2 shared papers)Jia Li (1 shared paper)Wenyu Feng (7 shared papers)Jinmin Zhao (5 shared papers)Huiping Lu (3 shared papers)Ivan Skelin (2 shared papers)
- Journals
- Journal of Cellular Physiology (3 papers)Cell Biology International (1 paper)Cellular Physiology and Biochemistry (1 paper)Life Sciences (1 paper)Nature Communications (1 paper)
- Partner nations
- ChinaAustraliaUnited States
In The Last Decade
Shiting Ma
12 papers receiving 291 citations
Peers
Comparison fields: 5 of 66
- Rheumatology 99
- Cancer Research 49
- Cognitive Neuroscience 40
- Molecular Biology 125
- Orthopedics and Sports Medicine 14
Countries citing papers authored by Shiting Ma
This map shows the geographic impact of Shiting 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 Shiting Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shiting Ma more than expected).
Fields of papers citing papers by Shiting Ma
This network shows the impact of papers produced by Shiting 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 Shiting Ma. The network helps show where Shiting Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Shiting 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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 100 | |
| 2 | 2021 | 40 | |
| 3 | 2018 | 38 | |
| 4 | 2019 | 26 | |
| 5 | 2019 | 22 | |
| 6 | 2018 | 17 | |
| 7 | 2018 | 14 | |
| 8 | 2023 | 11 | |
| 9 | 2024 | 9 | |
| 10 | Tanshinone IIA protects against polyethylene particle-induced osteolysis response in a mouse calvarial model. | 2018 | 6 |
| 11 | 2019 | 4 | |
| 12 | 2018 | 4 |
About Shiting Ma
Shiting Ma is a scholar working on Rheumatology, Oncology, Surgery, Molecular Biology and Cognitive Neuroscience, having authored 12 papers that have together received 291 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (6 papers), Bone health and treatments (4 papers), Orthopaedic implants and arthroplasty (4 papers), Memory and Neural Mechanisms (2 papers), Osteoarthritis Treatment and Mechanisms (2 papers), Neural dynamics and brain function (2 papers), Osteomyelitis and Bone Disorders Research (1 paper) and Cell Adhesion Molecules Research (1 paper). The work is most often cited by research in Rheumatology (99 citations), Cancer Research (49 citations), Cognitive Neuroscience (40 citations), Molecular Biology (125 citations) and Orthopedics and Sports Medicine (14 citations). Shiting Ma has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Jun Yao, Gang Zhong, Huiping Long, Jia Li, Wenyu Feng, Jinmin Zhao, Huiping Lu, Ivan Skelin, Shijie Liao and Robert Thomas Knight. Their work appears in journals such as Journal of Cellular Physiology, Cell Biology International, Cellular Physiology and Biochemistry, Life Sciences and Nature Communications.
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.