Sifa Li

2.0k citations
92 papers · 1.7k · h-index 22

Impact in

Papers in

    • Fish Biology and Ecology Studies 37
    • Aquaculture Nutrition and Growth 26
    • Genetic diversity and population structure 23
    • Genetic and phenotypic traits in livestock 12
    • Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 7

Sifa Li

89 papers receiving 1.6k citations

Peers

Sifa Li
Comparison fields: 5 of 84
  • Aquatic Science 875
  • Nature and Landscape Conservation 584
  • Physiology 124
  • Immunology 405
  • Genetics 472
Replace Jane E. Symonds with:
Jane E. Symonds New Zealand
I Chiu Liao Taiwan
Nicholas G. Elliott Australia
Fabrice Teletchea France
Kei’ichiro Iguchi Japan
Giora W. Wohlfarth Israel
Clyde S. Tamaru United States
R. Oneal Smitherman United States
Tetsuya Umino Japan
Siti Azizah Mohd Nor Malaysia
Sifa Li relative to Jane E. Symonds New Zealand Jane E. Symonds's profile →
Citations per field
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Jane E. Symonds · 1×
Citations per year

Countries citing papers authored by Sifa Li

Since Specialization
Citations

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

Fields of papers citing papers by Sifa Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008148
2 2003135
3 1982132
4 1982121
5 201090
6 200275
7 200075
8 200867
9 199360
10 198753
11 200650
12
Culture and Capture of Fish in Chinese Reservoirs
199549
13 198739
14 201036
15 200636
16 200336
17 200433
18 200632
19 200828
20 202025

About Sifa Li

Sifa Li is a scholar working on Aquatic Science, Genetics, Nature and Landscape Conservation, Molecular Biology and Ecology, having authored 92 papers that have together received 1.7k indexed citations. Recurring topics across this work include Fish Biology and Ecology Studies (37 papers), Fish Ecology and Management Studies (32 papers), Aquaculture Nutrition and Growth (26 papers), Genetic diversity and population structure (23 papers), Identification and Quantification in Food (14 papers), Genetic and phenotypic traits in livestock (12 papers), Aquaculture disease management and microbiota (8 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (7 papers). The work is most often cited by research in Aquatic Science (875 citations), Nature and Landscape Conservation (584 citations), Physiology (124 citations), Immunology (405 citations) and Genetics (472 citations). Sifa Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include J. A. Mathias, Chenghui Wang, Chenhong Li, Guoqing Lu, Jiawei Xu, Jinliang Zhao, Madan M. Dey, Qin Chen, Sen-Lin Xu and Biyun Zhou. Their work appears in journals such as Aquaculture, Transactions of the American Fisheries Society, Gene, Molecular Ecology Resources and Molecular Biology Reports.

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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