Xiaowei Ma
Impact in
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- Adipokines, Inflammation, and Metabolic Diseases
- Influenza Virus Research Studies
- Respiratory viral infections research
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- Regulation of Appetite and Obesity
Papers in
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- Influenza Virus Research Studies 3
- Adipokines, Inflammation, and Metabolic Diseases 2
- Hepatitis B Virus Studies 1
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- Circular RNAs in diseases 1
- Co-authors
- Vincenzo Trischitta (1 shared paper)Alessandro Doria (2 shared papers)James H. Warram (2 shared papers)Wang Ji (1 shared paper)Yanli Yan (1 shared paper)Rui Liu (1 shared paper)Hailin Ma (1 shared paper)Yi Li (1 shared paper)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)Biochemical Engineering Journal (1 paper)Journal of Alzheimer s Disease (1 paper)Frontiers in Cellular and Infection Microbiology (1 paper)Neurological Sciences (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaowei Ma
14 papers receiving 442 citations
Peers
Comparison fields: 5 of 70
- Epidemiology 146
- Endocrine and Autonomic Systems 28
- Oncology 109
- Agronomy and Crop Science 37
- Infectious Diseases 53
Countries citing papers authored by Xiaowei Ma
This map shows the geographic impact of Xiaowei 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 Xiaowei Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaowei Ma more than expected).
Fields of papers citing papers by Xiaowei Ma
This network shows the impact of papers produced by Xiaowei 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 Xiaowei Ma. The network helps show where Xiaowei Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaowei 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 | 2016 | 166 | |
| 2 | 2002 | 80 | |
| 3 | 2015 | 53 | |
| 4 | 2017 | 42 | |
| 5 | 2012 | 30 | |
| 6 | 2018 | 16 | |
| 7 | 2015 | 14 | |
| 8 | 2021 | 11 | |
| 9 | 2018 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2022 | 7 | |
| 12 | 2022 | 3 | |
| 13 | 2021 | 2 | |
| 14 | Phylogenetic Analysis of 16S rDNA Sequence and PCR - RFLP of Bacillus from Fumao - flavor Daqu | 2012 | 1 |
| 15 | 2002 | 1 | |
| 16 | 2024 | 0 |
About Xiaowei Ma
Xiaowei Ma is a scholar working on Epidemiology, Molecular Biology, Surgery, Cellular and Molecular Neuroscience and Oncology, having authored 16 papers that have together received 446 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Dementia and Cognitive Impairment Research (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Alzheimer's disease research and treatments (1 paper), Hepatitis B Virus Studies (1 paper), Genetic Neurodegenerative Diseases (1 paper), Drug Transport and Resistance Mechanisms (1 paper) and Circular RNAs in diseases (1 paper). The work is most often cited by research in Epidemiology (146 citations), Endocrine and Autonomic Systems (28 citations), Oncology (109 citations), Agronomy and Crop Science (37 citations) and Infectious Diseases (53 citations). Xiaowei Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Vincenzo Trischitta, Alessandro Doria, James H. Warram, Wang Ji, Yanli Yan, Rui Liu, Hailin Ma, Yi Li, Li Tee Tan and Beina Hui. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Biochemical Engineering Journal, Journal of Alzheimer s Disease, Frontiers in Cellular and Infection Microbiology and Neurological Sciences.
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.