Jiling Liang

931 citations
23 papers · 638 · h-index 14

Impact in

  • Physiology top 5%
    • Adipose Tissue and Metabolism
    • Nutrition and Health in Aging
    • Diet and metabolism studies
    • Alzheimer's disease research and treatments
  • Aging top 10%

Papers in

    • Adipose Tissue and Metabolism 7
    • Alzheimer's disease research and treatments 4
    • Nutrition and Health in Aging 4
    • Muscle Physiology and Disorders 6

Jiling Liang

21 papers receiving 627 citations

Peers

Jiling Liang
Comparison fields: 5 of 84
  • Physiology 396
  • Aging 21
  • Geriatrics and Gerontology 37
  • Biological Psychiatry 21
  • Rehabilitation 48
Replace Carlos K. Katashima with:
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Sophia Raefsky United States
Hikari Takeshita Japan
Zhengtang Qi China
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Ignacio Navas‐Enamorado United States
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Jiling Liang relative to Carlos K. Katashima Brazil Carlos K. Katashima's profile →
Citations per field
00.5×4.6×
Carlos K. Katashima · 1×
Citations per year

Countries citing papers authored by Jiling Liang

Since Specialization
Citations

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

Fields of papers citing papers by Jiling Liang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020122
2 202380
3 202275
4 202253
5 202153
6 202144
7 202130
8 202030
9 202226
10 201922
11 201919
12 202315
13 202215
14 202313
15 202211
16 20229
17 20246
18
[Regulatory roles of microRNAs in sarcopenia and exercise intervention].
20206
19 20255
20 20233

About Jiling Liang

Jiling Liang is a scholar working on Physiology, Molecular Biology, Epidemiology, Neurology and Cancer Research, having authored 23 papers that have together received 638 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (7 papers), Autophagy in Disease and Therapy (7 papers), Muscle Physiology and Disorders (6 papers), Alzheimer's disease research and treatments (4 papers), Nutrition and Health in Aging (4 papers), MicroRNA in disease regulation (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Fatty Acid Research and Health (2 papers). The work is most often cited by research in Physiology (396 citations), Aging (21 citations), Geriatrics and Gerontology (37 citations), Biological Psychiatry (21 citations) and Rehabilitation (48 citations). Jiling Liang has collaborated with scholars based in China and United States. Frequent co-authors include Ning Chen, Hu Zhang, Jun Lv, Cenyi Wang, Minghui Wang, Meng Wang, Michael Kirberger, Jingjing Fan, Ying Zhang and Zeyun Li. Their work appears in journals such as Frontiers in Physiology, Journal of Advanced Research, International Journal of Molecular Sciences, Ageing Research Reviews and Food Science and Human Wellness.

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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