Wen-Kai Li

708 citations
35 papers · 509 indexed · h-index 13
Topics
Drug Transport and Resistance Mechanisms (5 papers)Bioinformatics and Genomic Networks (5 papers)Parasites and Host Interactions (4 papers)
Partner nations
ChinaUnited StatesCanada

In The Last Decade

Wen-Kai Li

35 papers receiving 502 citations

Peers

Wen-Kai Li
Comparison fields: 5 of 113
  • Molecular Biology 264
  • Oncology 95
  • Epidemiology 82
  • Computational Theory and Mathematics 80
  • Pharmacology 80
Replace Angelique M. Leone with:
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Ann Lampo Belgium
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Yu Guo China
Hailong Zhu China
Jean-Baptiste Mazarati Rwanda
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Wen-Kai Li relative to Angelique M. Leone United States Angelique M. Leone's profile →
Citations per field
00.5×10×16×
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Citations per year

Countries citing papers authored by Wen-Kai Li

Since Specialization
Citations

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

Fields of papers citing papers by Wen-Kai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wen-Kai Li

This figure shows the co-authorship network connecting the top 25 collaborators of Wen-Kai Li. A scholar is included among the top collaborators of Wen-Kai Li 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 Wen-Kai Li. Wen-Kai Li 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
#WorkIndexed citations
1 1
2 3
3 15
4 1
5 12
6 11
7 4
8 3
9 10
10 28
11 48
12 13
13 10
14 4
15 47
16 8
17
Molecular cloning and bioinformatic analysis of a novel pairing-associated gene SJCHGC00821 of Schistosoma Japonicum
1
18
Anti-fecundity Immunity Induced by sIEA 26-28kDa Antigens of Schistosoma japonicum: is HGPRT Antigen a Major Target for the Immunity?
1
19 8
20
Application of serum levels of CEA, CA19-9 and CA72-4 in diagnosing colorectal cancer
1

About Wen-Kai Li

Wen-Kai Li is a scholar working on Parasitology, Family Practice and Pharmacology, having authored 35 papers that have together received 509 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (5 papers), Bioinformatics and Genomic Networks (5 papers) and Parasites and Host Interactions (4 papers). The work is most often cited by research in Pharmacology (80 citations), Hepatology (41 citations) and Computational Theory and Mathematics (80 citations). Wen-Kai Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Min Li, Min Zeng, Ruiqing Zheng, Xingyi Li, Fang‐Xiang Wu, Tianming Wang, Jiasheng Wu, Yueming Ma, Min Li and Jianxin Wang. Their work appears in journals such as The Lancet, Frontiers in Immunology and Emerging infectious diseases.

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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