C. Li

422 citations
14 papers · 343 · h-index 8

Impact in

    • Meat and Animal Product Quality
    • Animal Nutrition and Physiology
    • Effects of Environmental Stressors on Livestock
  • Genetics top 10%
    • Genetic and phenotypic traits in livestock
    • Genetic Mapping and Diversity in Plants and Animals

Papers in

C. Li

13 papers receiving 324 citations

Peers

C. Li
Comparison fields: 5 of 51
  • Animal Science and Zoology 119
  • Genetics 236
  • Agronomy and Crop Science 72
  • Cancer Research 66
  • Endocrine and Autonomic Systems 28
Replace E. R. Chung with:
E. R. Chung South Korea
Fábio Ricardo Pablos de Souza Brazil
C. A. Mezzadra Argentina
Wanqiang Tian China
Mathew Kelly Australia
J. L. Noguera Spain
Anna Mercadé Spain
Seung Ju Park South Korea
T Grala New Zealand
M F te Pas Netherlands
C. Li relative to E. R. Chung South Korea E. R. Chung's profile →
Citations per field
00.5×3.2×
E. R. Chung · 1×
Citations per year

Countries citing papers authored by C. Li

Since Specialization
Citations

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

Fields of papers citing papers by C. Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2007182
2 200748
3 201431
4 201221
5 201321
6 201713
7 201810
8 201010
9 20103
10 20231
11 20171
12 20101
13 20201
14 20240

About C. Li

C. Li is a scholar working on Genetics, Animal Science and Zoology, Endocrinology, Diabetes and Metabolism, Physiology and Statistics, Probability and Uncertainty, having authored 14 papers that have together received 343 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (6 papers), Scientific Measurement and Uncertainty Evaluation (3 papers), Adipose Tissue and Metabolism (3 papers), Fatty Acid Research and Health (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers), Effects of Environmental Stressors on Livestock (2 papers), Regulation of Appetite and Obesity (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Animal Science and Zoology (119 citations), Genetics (236 citations), Agronomy and Crop Science (72 citations), Cancer Research (66 citations) and Endocrine and Autonomic Systems (28 citations). C. Li has collaborated with scholars based in China, Canada and Spain. Frequent co-authors include Z. Wang, S. S. Moore, J. D. Nkrumah, Brenda M. Murdoch, E. L. Sherman, Alex A. Fu, Michael Vinsky, L. Chen, E. K. Okine and J. A. Basarab. Their work appears in journals such as Journal of Animal Science, Meat Science, Animal Genetics, International Journal of Radiation Oncology*Biology*Physics and Diabetes.

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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