Lishen Shan

629 citations
30 papers · 482 · h-index 12

Impact in

Papers in

Lishen Shan

28 papers receiving 469 citations

Peers

Lishen Shan
Comparison fields: 5 of 87
  • Cardiology and Cardiovascular Medicine 136
  • Nephrology 23
  • Genetics 34
  • Molecular Medicine 13
  • Physiology 51
Replace Kiyoko Takemiya with:
Kiyoko Takemiya Japan
Mingzhu Xu China
Natalia Marcińczyk Poland
Eduardo Vázquez‐Garza Mexico
Yuri Kim South Korea
Abdulmajeed Albanyan Saudi Arabia
Neha Goyal India
Rachid Seqqat United States
Binghao Zhao China
Lishen Shan relative to Kiyoko Takemiya Japan Kiyoko Takemiya's profile →
Citations per field
00.5×2×4×5.8×
Kiyoko Takemiya · 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 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007100
2 201743
3 201640
4 202436
5 202230
6 200928
7 202327
8 201324
9 202024
10 201823
11 201017
12 201216
13 20237
14 20247
15 20247
16 20236
17
A simple approach to single-cell microdissection and molecular analysis.
19975
18
Effects of Single-Nucleotide Polymorphisms in the TLR7 and TLR9 Genes of Asthmatic Children.
20185
19 20245
20 20245

About Lishen Shan

Lishen Shan is a scholar working on Physiology, Immunology and Allergy, Immunology, Pulmonary and Respiratory Medicine and Pharmaceutical Science, having authored 30 papers that have together received 482 indexed citations. Recurring topics across this work include Asthma and respiratory diseases (7 papers), IL-33, ST2, and ILC Pathways (3 papers), Allergic Rhinitis and Sensitization (3 papers), Cardiomyopathy and Myosin Studies (3 papers), Nutritional Studies and Diet (2 papers), Obesity, Physical Activity, Diet (2 papers), Cancer Treatment and Pharmacology (2 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (136 citations), Nephrology (23 citations), Genetics (34 citations), Molecular Medicine (13 citations) and Physiology (51 citations). Lishen Shan has collaborated with scholars based in China, Japan and Belgium. Frequent co-authors include Yunxiao Shang, Fukiko Ichida, Keiichi Hirono, Keiichiro Uese, Neil E. Bowles, Yunxiao Shang, Yunxiao Shang, Yanlin Xing, Si Liu and Sayaka Watanabe. Their work appears in journals such as European Journal of Medicinal Chemistry, Molecular Genetics and Metabolism, Food & Function, Ecotoxicology and Environmental Safety and Allergy.

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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