Le Shu

1.8k citations
21 papers · 739 · h-index 13

Impact in

Papers in

    • Bioinformatics and Genomic Networks 6
    • Gene expression and cancer classification 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Genetic Associations and Epidemiology 6

Le Shu

21 papers receiving 734 citations

Peers

Le Shu
Comparison fields: 5 of 107
  • Aging 17
  • Health, Toxicology and Mutagenesis 110
  • Physiology 208
  • Molecular Biology 371
  • Biological Psychiatry 13
Replace Hyeran Jang with:
Hyeran Jang United States
Rui Hua China
Adel B. Elmoselhi United Arab Emirates
Joshua C. Kwekel United States
Ana M. Masini‐Repiso Argentina
Hyun Cheol Roh United States
Alexander P. Alimov United States
Ulrich Gärtner Germany
Soichi Noguchi Japan
Le Shu relative to Hyeran Jang United States Hyeran Jang's profile →
Citations per field
00.5×4.3×
Hyeran Jang · 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 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019226
2 201687
3 201682
4 201762
5 201838
6 201637
7 200736
8 200433
9 201929
10 201725
11 201821
12 201919
13 201912
14 20137
15 20246
16 20245
17 20244
18 20234
19 20243
20 20232

About Le Shu

Le Shu is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Condensed Matter Physics and Cellular and Molecular Neuroscience, having authored 21 papers that have together received 739 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (6 papers), Thermal properties of materials (3 papers), Advanced Thermoelectric Materials and Devices (3 papers), Gene expression and cancer classification (3 papers), 2D Materials and Applications (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Aging (17 citations), Health, Toxicology and Mutagenesis (110 citations), Physiology (208 citations), Molecular Biology (371 citations) and Biological Psychiatry (13 citations). Le Shu has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Xia Yang, Aldons J. Lusis, Douglas Arneson, Yuqi Zhao, Patrick Allard, Jing Shao, Haipeng Sun, Richard Wynn, Ji Wang and Cheng‐Yang Wu. Their work appears in journals such as Frontiers in Cardiovascular Medicine, PLoS Genetics, BMC Genomics, npj Computational Materials and Endocrinology.

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