Kai Li

6.0k citations
199 papers · 3.3k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Kai Li

186 papers receiving 3.2k citations

Hit Papers

PGLYRP2 drives hepatocyte-intrinsic innate immunity by trapping and clearing hepatitis B virus 2025 · 17 citations
172025202651015

Peers

Kai Li
Comparison fields: 5 of 133
  • Animal Science and Zoology 421
  • Epidemiology 1.3k
  • Immunology 572
  • Infectious Diseases 499
  • Insect Science 252
Replace Ching‐Len Liao with:
Ching‐Len Liao Taiwan
Stephanie L. James United States
Xinwen Chen China
Yoshinobu Kimura Japan
Shane C. Burgess United States
Shengqing Yu China
Dong Xia China
Xiaomin Zhao China
Dekun Chen China
Kai Li relative to Ching‐Len Liao Taiwan Ching‐Len Liao's profile →
Citations per field
00.5×5.5×
Ching‐Len Liao · 1×
Citations per year

Countries citing papers authored by Kai Li

Since Specialization
Citations

This map shows the geographic impact of 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 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 Kai Li more than expected).

Fields of papers citing papers by Kai Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20250
3 20250
4 20252
5 20250
6 20250
7 20244
8 20241
9 20244
10 20240
11 202311
12 20236
13 20238
14 202112
15 202110
16 20151
17 20116
18
Tissue culture of Parakmeria yunnanensis Hu.
20101
19
Investigation of co-infection of ALV-J with REV, MDV, CAV in layer chicken flocks in some regions of China
201021
20
Study on immunogenicity of a new thrombopoietic factor
20051

About Kai Li

Kai Li is a scholar working on Epidemiology, Animal Science and Zoology, Insect Science, Infectious Diseases and Immunology, having authored 199 papers that have together received 3.3k indexed citations. Recurring topics across this work include Virology and Viral Diseases (42 papers), Herpesvirus Infections and Treatments (39 papers), CRISPR and Genetic Engineering (32 papers), Animal Virus Infections Studies (24 papers), Viral Infections and Immunology Research (20 papers), Virus-based gene therapy research (20 papers), Mosquito-borne diseases and control (19 papers) and Viral gastroenteritis research and epidemiology (16 papers). The work is most often cited by research in Animal Science and Zoology (421 citations), Epidemiology (1.3k citations), Immunology (572 citations), Infectious Diseases (499 citations) and Insect Science (252 citations). Kai Li has collaborated with scholars based in China, United States and France. Frequent co-authors include Yulong Gao, Li Gao, Xiaomei Wang, Xiaole Qi, Hongyu Cui, Changjun Liu, Qing Pan, Yongqiang Wang, Yanping Zhang and Honglei Gao. Their work appears in journals such as Veterinary Microbiology, Viruses, Journal of Virology, Vaccine and Frontiers in Microbiology.

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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