Le Shu

23 papers receiving 1.3k citations

Le Shu's Hit Papers

Co-regulatory networks of human serum proteins link genetics to disease 2018 · 434 citations
4340+2+5Years since publication100200300400

Peers

Le Shu
Comparison fields: 5 of 117
  • Aging 26
  • Genetics 268
  • Physiology 226
  • Biological Psychiatry 21
  • Health, Toxicology and Mutagenesis 119
Replace Idil Erte with:
Idil Erte United Kingdom
Maria Psatha United Kingdom
Xiaoquan Zhu China
Xiaoling Wang China
Nadia Bendridi France
Aditya Joshi United States
Chen Gao China
Keith DiPetrillo United States
Xupei Huang United States
Vijayalakshmi Sridharan United States
Le Shu relative to Idil Erte United Kingdom Idil Erte's profile →
Citations per field
00.5×2×2.5×
Idil Erte · 1×
Citations per year

Countries citing papers authored by Le Shu

Since Specialization
Citations

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

Fields of papers citing papers by Le Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Co-regulatory networks of human serum proteins link genetics to disease
Hit paper breakdown →
2018434
2 2019261
3 201696
4 201693
5 201767
6 201642
7 201842
8 200737
9 201936
10 201731
11 201730
12 202025
13 201922
14 201821
15 201914
16 202412
17 20138
18 20248
19 20236
20 20246

About Le Shu

Le Shu is a scholar working on Genetics, Condensed Matter Physics, Molecular Biology, Materials Chemistry and Health, Toxicology and Mutagenesis, having authored 24 papers that have together received 1.3k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (4 papers), Genetic Associations and Epidemiology (4 papers), Advanced Thermoelectric Materials and Devices (3 papers), Thermal properties of materials (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Perovskite Materials and Applications (2 papers) and 2D Materials and Applications (2 papers). The work is most often cited by research in Aging (26 citations), Genetics (268 citations), Physiology (226 citations), Biological Psychiatry (21 citations) and Health, Toxicology and Mutagenesis (119 citations). Le Shu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xia Yang, Aldons Jake Lusis, Douglas V. Arneson, Yuqi Zhao, Patrick Allard, Yibin Wang, Haipeng Sun, Guang Ning, W.J. Gui and Jiqiu Wang. Their work appears in journals such as Frontiers in Cardiovascular Medicine, PLoS Genetics, BMC Genomics, Journal of Physics and Chemistry of Solids and Advanced Science.

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.

Explore authors with similar magnitude of impact