Ke Li

2.1k citations
98 papers · 1.5k indexed · h-index 23

Impact in

Papers in

Ke Li

88 papers receiving 1.4k citations

Peers

Ke Li
Comparison fields: 5 of 120
  • Endocrine and Autonomic Systems 168
  • Animal Science and Zoology 130
  • Nutrition and Dietetics 176
  • Biological Psychiatry 27
  • Developmental Neuroscience 40
Replace Markandeya Jois with:
Markandeya Jois Australia
Augusto Schneider Brazil
Andreina Bruno Italy
Anne Navarrete Santos Germany
Tony E. Haynes United States
Izumi Kaji United States
Yafang Hu China
Sihai Zhao China
Jianmin Wu China
Li Zuo China
Ke Li relative to Markandeya Jois Australia Markandeya Jois's profile →
Citations per field
00.5×
Markandeya Jois · 1×
Citations per year

Countries citing papers authored by Ke Li

Since Specialization
Citations

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

Fields of papers citing papers by Ke Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20241
5 20241
6 20243
7 20230
8 20231
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10 20233
11 202165
12 20201
13
Rapid identification of duck plague based on recombinase aided amplification assay.
20191
14 201525
15 201453
16 201314
17
Correlation of Early Maturing Traits and QTL Mapping in Cotton
20101
18 200854
19
Studies of Multiple-Allelic Polymorphism of Dominant Dwarfing Genes in Wheat
20041
20 200233

About Ke Li

Ke Li is a scholar working on Genetics, Endocrine and Autonomic Systems, Biological Psychiatry, Neurology and Developmental Neuroscience, having authored 98 papers that have together received 1.5k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Biomarkers in Disease Mechanisms (4 papers), MicroRNA in disease regulation (4 papers), Inflammasome and immune disorders (4 papers), Glioma Diagnosis and Treatment (3 papers), Connective tissue disorders research (3 papers) and Moringa oleifera research and applications (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (168 citations), Animal Science and Zoology (130 citations), Nutrition and Dietetics (176 citations), Biological Psychiatry (27 citations) and Developmental Neuroscience (40 citations). Ke Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Gangyi Yang, Guenther Boden, Ling Li, Yu Hu, Bin Yao, Xiong Wang, Kun Meng, Yanjun Lu, Chong Wang and Mengliu Yang. Their work appears in journals such as International Journal of Molecular Sciences, Food Chemistry, Aquaculture, Scientific Reports and Journal of Cellular Biochemistry.

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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