Lu Lu

11.0k citations
221 papers · 5.9k indexed · 1 hit paper · h-index 37

Lu Lu

218 papers receiving 5.8k citations

Hit Papers

Complex trait analysis of gene expression uncovers polyge...5562005202620122019100200300400500

Peers

Lu Lu
Comparison fields: 5 of 161
  • Aging 168
  • Genetics 1.8k
  • Developmental Neuroscience 262
  • Behavioral Neuroscience 188
  • Molecular Biology 3.0k
Replace Richard Mott with:
Richard Mott United Kingdom
Laurent Farinelli Switzerland
Joseph R. Nery United States
Ryan Lister Australia
John R. Walker United States
Mark Daly United States
Steen Gammeltoft Denmark
Lennart Opitz Switzerland
Elissa J. Chesler United States
Shannon K. McWeeney United States
Lu Lu relative to Richard Mott United Kingdom Richard Mott's profile →
Citations per field
00.5×1.5×1.9×
Richard Mott · 1×
Citations per year

Countries citing papers authored by Lu Lu

Since Specialization
Citations

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

Fields of papers citing papers by Lu Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20237
3 20233
4 20234
5 20235
6 202227
7 20218
8 20207
9 202030
10 2018156
11 201813
12 20177
13 201626
14 20163
15 201620
16 201521
17 20152
18 201110
19
Advance in study of gene expression quantitative trait loci (eQTL)
20090
20 200935

About Lu Lu

Lu Lu is a scholar working on Aging, Developmental Neuroscience, Behavioral Neuroscience, Genetics and Horticulture, having authored 221 papers that have together received 5.9k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (47 papers), Bioinformatics and Genomic Networks (20 papers), Adipose Tissue and Metabolism (18 papers), Retinal Development and Disorders (16 papers), Genetic and phenotypic traits in livestock (15 papers), Peroxisome Proliferator-Activated Receptors (14 papers), Neurogenesis and neuroplasticity mechanisms (13 papers) and Cardiomyopathy and Myosin Studies (12 papers). The work is most often cited by research in Aging (168 citations), Genetics (1.8k citations), Developmental Neuroscience (262 citations), Behavioral Neuroscience (188 citations) and Molecular Biology (3.0k citations). Lu Lu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Robert W. Williams, Elissa J. Chesler, Jing Gu, Kenneth F. Manly, Jintao Wang, Jeremy L. Peirce, David Airey, Lee M. Silver, Yanhua Qu and Xusheng Wang. Their work appears in journals such as PLoS ONE, International Journal of Molecular Sciences, Mammalian Genome, Frontiers in Genetics and BMC Genomics.

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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