Kun Li

50 papers receiving 591 citations

Peers

Kun Li
Comparison fields: 5 of 95
  • Agronomy and Crop Science 135
  • Animal Science and Zoology 67
  • Immunology 111
  • Cardiology and Cardiovascular Medicine 112
  • Ecology, Evolution, Behavior and Systematics 80
Replace Jingfei Wang with:
Jingfei Wang China
David H. Moon Brazil
Hongxin Li China
Lijun Liang China
Sheikh Ariful Hoque Bangladesh
Yanming Zhang China
Ramanjit Kaur India
Yoshiaki Ueda Japan
Yanhong Chen China
Kun Li relative to Jingfei Wang China Jingfei Wang's profile →
Citations per field
00.5×1.5×
Jingfei Wang · 1×
Citations per year

Countries citing papers authored by Kun Li

Since Specialization
Citations

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

Fields of papers citing papers by Kun Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199869
2 201949
3 201949
4 202047
5 201931
6 201830
7 202118
8 201917
9 202017
10 202216
11 201916
12 201916
13 201115
14 202114
15 201914
16 202013
17
Detection of AFPmRNA and melanoma antigen gene-1mRNA as markers of disseminated hepatocellular carcinoma cells in blood.
200513
18 202212
19 202212
20 201911

About Kun Li

Kun Li is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Plant Science, having authored 55 papers that have together received 599 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (24 papers), Animal Disease Management and Epidemiology (24 papers), Vector-Borne Animal Diseases (15 papers), Animal Virus Infections Studies (9 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Immunotherapy and Immune Responses (5 papers), Viral gastroenteritis research and epidemiology (5 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Agronomy and Crop Science (135 citations), Animal Science and Zoology (67 citations), Immunology (111 citations), Cardiology and Cardiovascular Medicine (112 citations) and Ecology, Evolution, Behavior and Systematics (80 citations). Kun Li has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Bimal Chitrakar, Min Zhang, Arun S. Mujumdar, Ruifeng Cheng, Zaixin Liu, Qichang Yang, Pinghua Li, Yimei Cao, Xingwen Bai and Huifang Bao. Their work appears in journals such as Applied Microbiology and Biotechnology, Microbiology Spectrum, Frontiers in Immunology, Virology Journal and Journal of Clinical 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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