Li‐Peng Shan

784 total citations
37 papers, 624 citations indexed

About

Li‐Peng Shan is a scholar working on Immunology, Public Health, Environmental and Occupational Health and Insect Science. According to data from OpenAlex, Li‐Peng Shan has authored 37 papers receiving a total of 624 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Immunology, 11 papers in Public Health, Environmental and Occupational Health and 8 papers in Insect Science. Recurrent topics in Li‐Peng Shan's work include Aquaculture disease management and microbiota (31 papers), Invertebrate Immune Response Mechanisms (20 papers) and Mosquito-borne diseases and control (10 papers). Li‐Peng Shan is often cited by papers focused on Aquaculture disease management and microbiota (31 papers), Invertebrate Immune Response Mechanisms (20 papers) and Mosquito-borne diseases and control (10 papers). Li‐Peng Shan collaborates with scholars based in China and United Kingdom. Li‐Peng Shan's co-authors include Lei Liu, Jiong Chen, Yang Hu, Tian-Xiu Qiu, Dawei Song, Guanglu Liu, Gao‐Xue Wang, Xiaohong Chen, Xiaobo Yu and Kai Hao and has published in prestigious journals such as Environmental Science & Technology, International Journal of Molecular Sciences and Aquaculture.

In The Last Decade

Li‐Peng Shan

32 papers receiving 620 citations

Peers

Li‐Peng Shan
Comparison fields: 5 of 65
  • Immunology 475
  • Molecular Biology 149
  • Public Health, Environmental and Occupational Health 115
  • Insect Science 87
  • Aquatic Science 85
Replace Iván Neira with:
Iván Neira Chile
Claudener Souza Teixeira Brazil
Hehe Xiao China
Camila Marina Verdi Brazil
José J. Pastor Spain
Cahyo Budiman Indonesia
Ahmad Akroman Adam Indonesia
Maurício Afonso Verícimo Brazil
Sara Ragucci Italy
Iván Neira Chile View profile →
Citations per field, relative to Li‐Peng Shan
Li‐Peng Shan · 1×
Citations per year, relative to Li‐Peng Shan
Li‐Peng Shan · 1×

Countries citing papers authored by Li‐Peng Shan

Since Specialization
Citations

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

Fields of papers citing papers by Li‐Peng Shan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Li‐Peng Shan

This figure shows the co-authorship network connecting the top 25 collaborators of Li‐Peng Shan. A scholar is included among the top collaborators of Li‐Peng Shan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Li‐Peng Shan. Li‐Peng Shan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 4
5 2
6 1
7 4
8 0
9 28
10 15
11 7
12 19
13 15
14 13
15 17
16 5
17 20
18 54
19 61
20 78

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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