Xiaowei Ma
- Agronomy and Crop Science top 10%
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- Influenza Virus Research Studies 3
- Adipokines, Inflammation, and Metabolic Diseases 2
- Respiratory viral infections research 1
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- Dementia and Cognitive Impairment Research 2
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- Parkinson's Disease Mechanisms and Treatments 2
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- Radiomics and Machine Learning in Medical Imaging 1
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- Bacteriophages and microbial interactions 1
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- Mitochondrial Function and Pathology 1
- Co-authors
- Alessandro DoriaVincenzo TrischittaJames H. WarramJuan RenHailin MaLi Tee TanYanli YanRui Liu
- Journals
- The Journal of Clinical Endocrinology & Metabolism (2 papers)International Journal of Biological Sciences (1 paper)Journal of Geriatric Psychiatry and Neurology (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Xiaowei Ma
14 papers receiving 436 citations
Peers
Comparison fields: 5 of 74
- Endocrine and Autonomic Systems 44
- Oncology 150
- Agronomy and Crop Science 46
- Epidemiology 153
- Infectious Diseases 61
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-authorship network
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 | 2024 | 0 | |
| 2 | 2022 | 3 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 2 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 9 | |
| 7 | 2018 | 11 | |
| 8 | 2018 | 15 | |
| 9 | 2017 | 41 | |
| 10 | 2016 | 162 | |
| 11 | 2015 | 14 | |
| 12 | 2015 | 53 | |
| 13 | Phylogenetic Analysis of 16S rDNA Sequence and PCR - RFLP of Bacillus from Fumao - flavor Daqu | 2012 | 1 |
| 14 | 2012 | 30 | |
| 15 | 2002 | 1 | |
| 16 | 2002 | 80 |
About Xiaowei Ma
Xiaowei Ma is a scholar working on Endocrine and Autonomic Systems, Epidemiology, Cancer Research, Psychiatry and Mental health and Neurology, having authored 16 papers that have together received 440 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (3 papers), Dementia and Cognitive Impairment Research (2 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Respiratory viral infections research (1 paper), Bacteriophages and microbial interactions (1 paper) and Mitochondrial Function and Pathology (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (44 citations), Oncology (150 citations), Agronomy and Crop Science (46 citations), Epidemiology (153 citations) and Infectious Diseases (61 citations). Xiaowei Ma has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Alessandro Doria, Vincenzo Trischitta, James H. Warram, Juan Ren, Hailin Ma, Li Tee Tan, Yanli Yan, Rui Liu, Wang Ji and Beina Hui. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, International Journal of Biological Sciences, Journal of Geriatric Psychiatry and Neurology, Emerging infectious diseases and Frontiers in Neurology.
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.