Li Ge

17 papers receiving 491 citations

Peers

Li Ge
Comparison fields: 5 of 100
  • Rehabilitation 44
  • Statistics, Probability and Uncertainty 48
  • Reproductive Medicine 35
  • Health, Toxicology and Mutagenesis 55
  • Health Informatics 4
Replace R. J. Pethybridge with:
R. J. Pethybridge United Kingdom
Kaiyan Hu China
Julie Morris United Kingdom
Martha Fiellin United States
Nórton Luís Oliveira Portugal
Amy Johnston Canada
Morun Bernardino Neto Brazil
Nicoletta Colombi Italy
Marine Corbin New Zealand
Young‐Jun Rhie South Korea
Li Ge relative to R. J. Pethybridge United Kingdom R. J. Pethybridge's profile →
Citations per field
00.5×10×20×32×
R. J. Pethybridge · 1×
Citations per year

Countries citing papers authored by Li Ge

Since Specialization
Citations

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

Fields of papers citing papers by Li Ge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Li 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 Li Ge Line = papers co-authored together Li Ge links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017233
2 200861
3 202160
4 201943
5 201733
6 202015
7 202113
8 20237
9
[Incidence and risk factors of prehypertension among adults in mainland China: a meta-analysis].
20137
10 20257
11 20184
12 20194
13 20234
14
Investigation on influencing factors of primary dysmenorrhea in 1800 female college students
20093
15 20252
16 20221
17
[The ultrastructural observation of anthers of Chinese cabbage's mail-sterility].
20051
18 20250

About Li Ge

Li Ge is a scholar working on Molecular Biology, Rehabilitation, Public Health, Environmental and Occupational Health, General Health Professions and Clinical Psychology, having authored 18 papers that have together received 498 indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (2 papers), Epigenetics and DNA Methylation (1 paper), Metabolism and Genetic Disorders (1 paper), Job Satisfaction and Organizational Behavior (1 paper), Traditional Chinese Medicine Studies (1 paper), Noise Effects and Management (1 paper), Maternal Mental Health During Pregnancy and Postpartum (1 paper) and Sperm and Testicular Function (1 paper). The work is most often cited by research in Rehabilitation (44 citations), Statistics, Probability and Uncertainty (48 citations), Reproductive Medicine (35 citations), Health, Toxicology and Mutagenesis (55 citations) and Health Informatics (4 citations). Li Ge has collaborated with scholars based in China, Australia and Sweden. Frequent co-authors include Kehu Yang, Long Ge, Yaolong Chen, Xin Xing, Jinhui Tian, Bei Pan, Fujian Song, Dang Wei, Yanan Li and Mikael Rask. Their work appears in journals such as Cell Reports, International Journal of Nursing Studies, Complementary Therapies in Clinical Practice, Journal of Clinical Nursing and Reproduction.

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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