Xiaoling Ge

871 citations
15 papers · 285 indexed · h-index 7

Xiaoling Ge

14 papers receiving 280 citations

Peers

Xiaoling Ge
Comparison fields: 5 of 54
  • Epidemiology 205
  • Critical Care and Intensive Care Medicine 30
  • Pulmonary and Respiratory Medicine 121
  • Radiology, Nuclear Medicine and Imaging 62
  • Cognitive Neuroscience 50
Replace Inger Elisabeth Silberg with:
Inger Elisabeth Silberg Norway
Craig Sable United States
Sally Beer United Kingdom
Giulia Pomero Italy
Bhavesh Patel United Kingdom
Eva Morsing Sweden
Isao Kusakawa Japan
N Sreeram Germany
Jeroen Becker Netherlands
Lora A. Reineck United States
Xiaoling Ge relative to Inger Elisabeth Silberg Norway Inger Elisabeth Silberg's profile →
Citations per field
00.5×8.3×
Inger Elisabeth Silberg · 1×
Citations per year

Countries citing papers authored by Xiaoling Ge

Since Specialization
Citations

This map shows the geographic impact of Xiaoling Ge'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 Xiaoling Ge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoling Ge more than expected).

Fields of papers citing papers by Xiaoling Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoling Ge. 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 Xiaoling Ge. The network helps show where Xiaoling Ge may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Xiaoling Ge, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xiaoling Ge Line = papers co-authored together Xiaoling Ge links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 20250
2 20241
3 20242
4 20243
5 20237
6 20224
7 20216
8 20213
9 201819
10 201713
11 20176
12 201734
13 201612
14 201514
15 2014161

About Xiaoling Ge

Xiaoling Ge is a scholar working on Health Informatics, Critical Care and Intensive Care Medicine, Cognitive Neuroscience, Epidemiology and Pulmonary and Respiratory Medicine, having authored 15 papers that have together received 285 indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (6 papers), Child Development and Digital Technology (4 papers), Autism Spectrum Disorder Research (4 papers), Cardiovascular and Diving-Related Complications (3 papers), Cardiovascular Conditions and Treatments (2 papers), Ultrasound in Clinical Applications (2 papers), Family and Disability Support Research (2 papers) and Infrared Target Detection Methodologies (2 papers). The work is most often cited by research in Epidemiology (205 citations), Critical Care and Intensive Care Medicine (30 citations), Pulmonary and Respiratory Medicine (121 citations), Radiology, Nuclear Medicine and Imaging (62 citations) and Cognitive Neuroscience (50 citations). Xiaoling Ge has collaborated with scholars based in China and United States. Frequent co-authors include Weili Yan, Qu‐ming Zhao, Xiaojing Ma, Lin Wu, Bing Jia, Jing Zhang, Yan Gao, Xue‐cun Liang, Guoying Huang and Ming Ye. Their work appears in journals such as Neuroscience Bulletin, Translational Pediatrics, Scientific Reports, Acta Paediatrica and Autism Research.

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.

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