Li Cheng

969 citations
22 papers · 728 indexed · h-index 14

Li Cheng

22 papers receiving 719 citations

Peers

Li Cheng
Comparison fields: 5 of 107
  • Ophthalmology 100
  • Developmental Neuroscience 41
  • Immunology 145
  • Cellular and Molecular Neuroscience 120
  • Endocrinology, Diabetes and Metabolism 86
Replace Paula A. Pino with:
Paula A. Pino United States
Omid Mirmosayyeb Iran
Yusuf Özkul Türkiye
Elisabeth Andreadou Greece
Marcela Fiol Argentina
Natália Ferreira Mendes Brazil
Hamza Okur Türkiye
Huajun Yang China
Fuhua Peng China
Erin Yamamoto United States
Li Cheng relative to Paula A. Pino United States Paula A. Pino's profile →
Citations per field
00.5×2.9×
Paula A. Pino · 1×
Citations per year

Countries citing papers authored by Li Cheng

Since Specialization
Citations

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

Fields of papers citing papers by Li Cheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202216
3 20228
4 202229
5 20215
6 202138
7 202034
8 202066
9 201924
10 201915
11 201725
12 201721
13 201742
14 201610
15 20162
16 201613
17 201645
18 201564
19
Effects of Tanreqing injection on immune factors in induced sputum from patients with acute period of COPD
20111
20 200847

About Li Cheng

Li Cheng is a scholar working on Immunology, Emergency Medical Services, Neurology, Endocrinology, Diabetes and Metabolism and Orthopedics and Sports Medicine, having authored 22 papers that have together received 728 indexed citations. Recurring topics across this work include Diabetes Management and Education (4 papers), IL-33, ST2, and ILC Pathways (3 papers), Immune Cell Function and Interaction (3 papers), Diabetes Management and Research (3 papers), Immune Response and Inflammation (3 papers), Health Policy Implementation Science (2 papers), Botulinum Toxin and Related Neurological Disorders (2 papers) and Chronic Disease Management Strategies (2 papers). The work is most often cited by research in Ophthalmology (100 citations), Developmental Neuroscience (41 citations), Immunology (145 citations), Cellular and Molecular Neuroscience (120 citations) and Endocrinology, Diabetes and Metabolism (86 citations). Li Cheng has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include William W. Hauswirth, Adriana Di Polo, Przemysław Sapieha, Fan Li, Rui Ma, Janet W. H. Sit, Jialong Yang, Xiumei Wei, Kete Ai and Kai Chow Choi. Their work appears in journals such as Cellular and Molecular Immunology, Worldviews on Evidence-Based Nursing, Journal of Neuroscience, International Journal of Environmental Research and Public Health and International Journal of Nursing Studies.

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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