Xiaojuan Ma
- Molecular Biology
- Cognitive Neuroscience top 10%
- Cancer Research
- Immunology
- Pulmonary and Respiratory Medicine
- Co-authors
- Madhav SacharKarl E. AndersonYingmei FengXiaohong MaXingguang LuοWei DengLiansheng ZhaoTao Li
- Topics
- Polymer composites and self-healing (4 papers)Functional Brain Connectivity Studies (4 papers)Atherosclerosis and Cardiovascular Diseases (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaCancer ResearchDiabetes
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Xiaojuan Ma
74 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 136
- Molecular Biology 358
- Cognitive Neuroscience 128
- Cancer Research 126
- Immunology 111
- Pulmonary and Respiratory Medicine 107
Countries citing papers authored by Xiaojuan Ma
This map shows the geographic impact of Xiaojuan 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 Xiaojuan Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaojuan Ma more than expected).
Fields of papers citing papers by Xiaojuan Ma
This network shows the impact of papers produced by Xiaojuan 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 Xiaojuan Ma. The network helps show where Xiaojuan Ma may publish in the future.
Co-authorship network of co-authors of Xiaojuan Ma
This figure shows the co-authorship network connecting the top 25 collaborators of Xiaojuan Ma. A scholar is included among the top collaborators of Xiaojuan Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaojuan Ma. Xiaojuan Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 19 | |
| 5 | 28 | |
| 6 | 3 | |
| 7 | 33 | |
| 8 | 19 | |
| 9 | Exploring the "Double-Edged Sword" Effect of Auto-Insight Recommendation in Exploratory Data Analysis. | 2 |
| 10 | 9 | |
| 11 | 38 | |
| 12 | 25 | |
| 13 | 5 | |
| 14 | LncRNA GAS5-mediated miR-1323 promotes tumor progression by targeting TP53INP1 in hepatocellular carcinoma | 2 |
| 15 | 10 | |
| 16 | 11 | |
| 17 | 3 | |
| 18 | 40 | |
| 19 | Bibliometric Analysis of in 2008～2010 | 3 |
| 20 | 22 |
About Xiaojuan Ma
Xiaojuan Ma is a scholar working on Biological Psychiatry, Cancer Research and Neurology, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Polymer composites and self-healing (4 papers), Functional Brain Connectivity Studies (4 papers) and Atherosclerosis and Cardiovascular Diseases (3 papers). The work is most often cited by research in Biological Psychiatry (40 citations), Behavioral Neuroscience (37 citations) and Cancer Research (126 citations). Xiaojuan Ma has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Madhav Sachar, Karl E. Anderson, Yingmei Feng, Xiaohong Ma, Xingguang Luο, Wei Deng, Liansheng Zhao, Tao Li, Xia Sun and Xiao Yang. Their work appears in journals such as SHILAP Revista de lepidopterología, Cancer Research and Diabetes.
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.