Lingjun Rao

1.2k citations
12 papers · 707 · h-index 11

Impact in

    • Pluripotent Stem Cells Research
    • Muscle Physiology and Disorders
    • CRISPR and Genetic Engineering
    • Renal and related cancers

Papers in

    • Pluripotent Stem Cells Research 6
    • CRISPR and Genetic Engineering 5
    • RNA Interference and Gene Delivery 2
    • Muscle Physiology and Disorders 2
    • Metabolism, Diabetes, and Cancer 1
    • Renal and related cancers 1
    • Tissue Engineering and Regenerative Medicine 6

Lingjun Rao

12 papers receiving 699 citations

Peers

Lingjun Rao
Comparison fields: 5 of 75
  • Molecular Biology 522
  • Aging 9
  • Genetics 53
  • Surgery 215
  • Biomedical Engineering 198
Replace Sylvia Merkert with:
Sylvia Merkert Germany
Sara Benedetti United Kingdom
Chukwuma A. Agu United Kingdom
Jialiang Zhu China
Leqian Yu United States
Liani Devito United Kingdom
Nozomi Takada Japan
Sho Senda Japan
Daniel W. Youngstrom United States
Simone Liebscher Germany
Lingjun Rao relative to Sylvia Merkert Germany Sylvia Merkert's profile →
Citations per field
00.5×1.7×
Sylvia Merkert · 1×
Citations per year

Countries citing papers authored by Lingjun Rao

Since Specialization
Citations

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

Fields of papers citing papers by Lingjun Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2018235
2 201193
3 199291
4 201981
5 201359
6 202141
7 201228
8 201627
9 201620
10 201116
11 202114
12 20242

About Lingjun Rao

Lingjun Rao is a scholar working on Molecular Biology, Surgery, Genetics, Biomedical Engineering and Cardiology and Cardiovascular Medicine, having authored 12 papers that have together received 707 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (6 papers), Pluripotent Stem Cells Research (6 papers), CRISPR and Genetic Engineering (5 papers), 3D Printing in Biomedical Research (3 papers), RNA Interference and Gene Delivery (2 papers), Muscle Physiology and Disorders (2 papers), Metabolism, Diabetes, and Cancer (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Molecular Biology (522 citations), Aging (9 citations), Genetics (53 citations), Surgery (215 citations) and Biomedical Engineering (198 citations). Lingjun Rao has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Alastair Khodabukus, Nenad Bursac, Ying Qian, Thomas J. Ribar, Chun Cui, Nadia O. Abutaleb, Keith W. VanDusen, Jason Wang, Susan Heyner and Bernard Thorens. Their work appears in journals such as Acta Biomaterialia, Biomaterials, Scientific Reports, Cell Research and Bioscience Biotechnology and Biochemistry.

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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