Lishen Shan

580 citations
26 papers · 379 · h-index 11

Impact in

Papers in

Lishen Shan

25 papers receiving 371 citations

Peers

Lishen Shan
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 118
  • Genetics 32
  • Microbiology 18
  • Nephrology 18
  • Molecular Medicine 12
Replace Natalia Marcińczyk with:
Natalia Marcińczyk Poland
Binghao Zhao China
Jing Chang China
Amrita Sarkar United States
Matthew L. Brown United States
Jiali Huang China
Yang Fu China
Chenglei Zhao China
Dalia Barayan Canada
Carolyn Gill United Kingdom
Lishen Shan relative to Natalia Marcińczyk Poland Natalia Marcińczyk's profile →
Citations per field
00.5×10×15×
Natalia Marcińczyk · 1×
Citations per year

Countries citing papers authored by Lishen Shan

Since Specialization
Citations

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

Fields of papers citing papers by Lishen Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200778
2 201739
3 201636
4 202228
5 202023
6 201323
7 200923
8 202321
9 201821
10 201216
11 201015
12 202410
13 20236
14 20235
15
A simple approach to single-cell microdissection and molecular analysis.
19975
16
Effects of Single-Nucleotide Polymorphisms in the TLR7 and TLR9 Genes of Asthmatic Children.
20185
17 20244
18 20244
19 20234
20 20243

About Lishen Shan

Lishen Shan is a scholar working on Molecular Biology, Physiology, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Public Health, Environmental and Occupational Health, having authored 26 papers that have together received 379 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), Cardiomyopathy and Myosin Studies (4 papers), Air Quality and Health Impacts (3 papers), IL-33, ST2, and ILC Pathways (3 papers), Cancer Treatment and Pharmacology (2 papers), Pediatric health and respiratory diseases (2 papers), Nutritional Studies and Diet (2 papers) and Obesity, Physical Activity, Diet (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (118 citations), Genetics (32 citations), Microbiology (18 citations), Nephrology (18 citations) and Molecular Medicine (12 citations). Lishen Shan has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Yunxiao Shang, Fukiko Ichida, Fei Wang, Yunxiao Shang, Keiichi Hirono, Keiichiro Uese, Yunxiao Shang, Neil E. Bowles, Sayaka Watanabe and Si Liu. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecular Genetics and Metabolism, Ecotoxicology and Environmental Safety, Food & Function and Gene.

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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