Lin Yin

48 papers receiving 989 citations

Lin Yin's Hit Papers

Skeletal muscle atrophy: From mechanisms to treatments 2021 · 273 citations
2730+1+3Years since publication50100150200250

Peers

Lin Yin
Comparison fields: 5 of 93
  • Rehabilitation 72
  • Complementary and Manual Therapy 20
  • Physiology 167
  • Endocrinology, Diabetes and Metabolism 105
  • Geriatrics and Gerontology 21
Replace Yanan Ji with:
Yanan Ji China
Nicolas Pierre Belgium
Huishou Zhao China
Takeshi Ueha Japan
Qingzhu Wang China
Zheng Zhang China
Masaki Horie Japan
Urszula Florczyk Poland
Sunita Suri United Kingdom
Guangda Xiang China
Lin Yin relative to Yanan Ji China Yanan Ji's profile →
Citations per field
00.5×5.8×
Yanan Ji · 1×
Citations per year

Countries citing papers authored by Lin Yin

Since Specialization
Citations

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

Fields of papers citing papers by Lin Yin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Skeletal muscle atrophy: From mechanisms to treatments
Hit paper breakdown →
2021273
2 2020108
3 201959
4 201950
5 201850
6 202048
7 202346
8 200641
9 201932
10 201129
11 201519
12 201919
13 201818
14 201917
15 201517
16 202015
17 201614
18 201813
19 201311
20 20209

About Lin Yin

Lin Yin is a scholar working on Genetics, Molecular Biology, Surgery, Physiology and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 1.0k indexed citations. Recurring topics across this work include Craniofacial Disorders and Treatments (16 papers), Cleft Lip and Palate Research (7 papers), Adipose Tissue and Metabolism (4 papers), Muscle Physiology and Disorders (4 papers), Cardiovascular, Neuropeptides, and Oxidative Stress Research (3 papers), Nutrition and Health in Aging (3 papers), Cardiac Fibrosis and Remodeling (3 papers) and Cardiovascular Disease and Adiposity (2 papers). The work is most often cited by research in Rehabilitation (72 citations), Complementary and Manual Therapy (20 citations), Physiology (167 citations), Endocrinology, Diabetes and Metabolism (105 citations) and Geriatrics and Gerontology (21 citations). Lin Yin has collaborated with scholars based in China, Israel and Hong Kong. Frequent co-authors include Guanhua Du, Xiuying Yang, Weihua Jia, Nuoqi Wang, Meidai Liang, Na Li, Mingxin Liu, Guifen Qiang, Hongjin Wang and Li Li. Their work appears in journals such as Journal of Craniofacial Surgery, Journal of Cranio-Maxillofacial Surgery, Biomedicine & Pharmacotherapy, Biochemical and Biophysical Research Communications and Pharmacological 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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