Xiaojing Ma
Impact in
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- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diabetes Treatment and Management
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- Genetic Associations and Epidemiology
Papers in
- Genetics 7
- Genetic Associations and Epidemiology 7
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- RNA modifications and cancer 3
- Machine Learning in Bioinformatics 1
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- Weiping Jia (12 shared papers)Cheng Hu (12 shared papers)Kun‐san Xiang (10 shared papers)Yuqian Bao (8 shared papers)Congrong Wang (8 shared papers)Jingyi Lu (4 shared papers)Wen Qin (2 shared papers)Chen Wang (1 shared paper)
- Journals
- PLoS ONE (2 papers)Scientific Reports (1 paper)Gene (1 paper)Diabetes (1 paper)BMC Genetics (1 paper)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Xiaojing Ma
13 papers receiving 383 citations
Peers
Comparison fields: 5 of 58
- Endocrinology, Diabetes and Metabolism 103
- Genetics 160
- Clinical Biochemistry 25
- Endocrine and Autonomic Systems 21
- Biochemistry 20
Countries citing papers authored by Xiaojing Ma
This map shows the geographic impact of Xiaojing 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 Xiaojing Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojing Ma more than expected).
Fields of papers citing papers by Xiaojing Ma
This network shows the impact of papers produced by Xiaojing 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 Xiaojing Ma. The network helps show where Xiaojing Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaojing 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 | 2009 | 144 | |
| 2 | 2010 | 60 | |
| 3 | 2016 | 48 | |
| 4 | 2018 | 31 | |
| 5 | 2011 | 26 | |
| 6 | Association of apelin genetic variants with type 2 diabetes and related clinical features in Chinese Hans. | 2009 | 22 |
| 7 | 2013 | 19 | |
| 8 | 2011 | 14 | |
| 9 | 2011 | 14 | |
| 10 | [Genetic characteristics of familial type 2 diabetes pedigrees: a preliminary analysis of 4468 persons from 715 pedigrees]. | 2008 | 7 |
| 11 | 2008 | 6 | |
| 12 | 2010 | 1 | |
| 13 | 2023 | 1 |
About Xiaojing Ma
Xiaojing Ma is a scholar working on Genetics, Molecular Biology, Epidemiology, Clinical Biochemistry and Endocrinology, Diabetes and Metabolism, having authored 13 papers that have together received 393 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (7 papers), RNA modifications and cancer (3 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Cancer-related molecular mechanisms research (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Metabolism and Genetic Disorders (1 paper), Machine Learning in Bioinformatics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (103 citations), Genetics (160 citations), Clinical Biochemistry (25 citations), Endocrine and Autonomic Systems (21 citations) and Biochemistry (20 citations). Xiaojing Ma has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Weiping Jia, Cheng Hu, Kun‐san Xiang, Yuqian Bao, Congrong Wang, Jingyi Lu, Wen Qin, Chen Wang, Rong Zhang and Xuhong Hou. Their work appears in journals such as PLoS ONE, Scientific Reports, Gene, Diabetes and BMC Genetics.
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.