Lu Guang

711 citations
6 papers · 475 · 1 hit paper · h-index 6

Impact in

  • Physiology top 10%
    • Nutrition and Health in Aging
    • Adipose Tissue and Metabolism
    • Body Composition Measurement Techniques
    • Diet and metabolism studies
    • Frailty in Older Adults

Papers in

Lu Guang

6 papers receiving 468 citations

Lu Guang's Hit Papers

Pathogenesis of sarcopenia and the relationship with fat mass: descriptive review 2022 · 415 citations
4150+1+2Years since publication100200300400

Peers

Lu Guang
Comparison fields: 5 of 71
  • Physiology 262
  • Geriatrics and Gerontology 26
  • Rehabilitation 13
  • Obstetrics and Gynecology 12
  • Molecular Biology 108
Replace Shilin Ma with:
Shilin Ma China
Lanfang Luo China
Sanna M. Kaye Finland
An M. Van Berendoncks Belgium
Guilherme Wesley Peixoto da Fonseca Brazil
Ulrike Wurst Germany
Kageumi Takeno Japan
Samira Bahrainy United States
Laura Brugnara Spain
K. Franz Germany
Lu Guang relative to Shilin Ma China Shilin Ma's profile →
Citations per field
00.5×1.5×
Shilin Ma · 1×
Citations per year

Countries citing papers authored by Lu Guang

Since Specialization
Citations

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

Fields of papers citing papers by Lu Guang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Lu Guang, 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 Lu Guang Line = papers co-authored together Lu Guang links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Pathogenesis of sarcopenia and the relationship with fat mass: descriptive review
Hit paper breakdown →
2022415
2 202428
3 202311
4 20258
5 20197
6 20226

About Lu Guang

Lu Guang is a scholar working on Physiology, Obstetrics and Gynecology, Molecular Biology, Surgery and Pediatrics, Perinatology and Child Health, having authored 6 papers that have together received 475 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (3 papers), Pluripotent Stem Cells Research (2 papers), Reproductive System and Pregnancy (1 paper), Pancreatic function and diabetes (1 paper), Pregnancy and preeclampsia studies (1 paper), RNA Research and Splicing (1 paper), RNA modifications and cancer (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Physiology (262 citations), Geriatrics and Gerontology (26 citations), Rehabilitation (13 citations), Obstetrics and Gynecology (12 citations) and Molecular Biology (108 citations). Lu Guang has collaborated with scholars based in China, India and Hong Kong. Frequent co-authors include Ng Shyh‐Chang, Zongmin Jiang, Lei Li, Shilin Ma, Wenhua Cao, Dan Song, Lanfang Luo, Jiali Su, Peng Wang and Shuqing Liu. Their work appears in journals such as Cell, Nature Communications, Cell stem cell, Cell Proliferation and Journal of Cachexia Sarcopenia and Muscle.

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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