Renhua Li

7.5k citations
86 papers · 3.3k indexed · 1 hit paper · h-index 33
Topics
Genetic Mapping and Diversity in Plants and Animals (25 papers)Genetic and phenotypic traits in livestock (13 papers)Adipose Tissue and Metabolism (6 papers)

In The Last Decade

Renhua Li

82 papers receiving 3.3k citations

Hit Papers

Synthetic spike-in standards for RNA-seq experiments20112026201620212011100200300400

Peers

Renhua Li
Comparison fields: 5 of 136
  • Molecular Biology 1.4k
  • Genetics 984
  • Plant Science 536
  • Organic Chemistry 450
  • Surgery 342
Replace Y. Sugimoto with:
Y. Sugimoto Japan
Richard T. Swank United States
Judy L. Meinkoth United States
Jianmin Zhang China
A. Francis Stewart Germany
G. Ferrari Italy
Abraham Amsterdam Israel
Bradley S. Fletcher United States
Frank W. Hobbs United States
Reuven Stein Israel
Renhua Li relative to Y. Sugimoto Japan Y. Sugimoto's profile →
Citations per field
00.5×2.7×
Y. Sugimoto · 1×
Citations per year

Countries citing papers authored by Renhua Li

Since Specialization
Citations

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

Fields of papers citing papers by Renhua Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renhua Li

This figure shows the co-authorship network connecting the top 25 collaborators of Renhua Li. A scholar is included among the top collaborators of Renhua Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Renhua Li. Renhua Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 20
5 31
6 20
7
Synthetic spike-in standards for RNA-seq experimentsbreakdown →
454
8 15
9 18
10 14
11 23
12 50
13 22
14 43
15 71
16 47
17 30
18 44
19 75
20
Relationship between the extent of genetic differentiation in parental lines and heterosis of indica-japonica hybrid rice
5

About Renhua Li

Renhua Li is a scholar working on Genetics, Plant Science and Aging, having authored 86 papers that have together received 3.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (25 papers), Genetic and phenotypic traits in livestock (13 papers) and Adipose Tissue and Metabolism (6 papers). The work is most often cited by research in Aging (65 citations), Genetics (984 citations) and Molecular Biology (1.4k citations). Renhua Li has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Gary A. Churchill, Beverly Paigen, Patrick Y. S. Lam, Malcolm A. Lyons, Charles G. Clark, Henning Wittenburg, T Gingeras, Brian Oliver, Yu Zhang and Carrie Davis. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Neuroscience.

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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