Liying Du

740 citations
16 papers · 559 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Pluripotent Stem Cells Research
    • Renal and related cancers
    • CRISPR and Genetic Engineering

Papers in

Liying Du

14 papers receiving 553 citations

Peers

Liying Du
Comparison fields: 5 of 73
  • Infectious Diseases 90
  • Molecular Biology 336
  • Animal Science and Zoology 44
  • Cell Biology 62
  • Genetics 30
Replace Nancie A. Mooney with:
Nancie A. Mooney United States
Nerea Zabaleta United States
Yunyu Spence United States
Nesrin Tüysüz Netherlands
Etienne Lelièvre France
Ralston M. Barnes United States
Junjiang Sun United States
Daniel Mickelson United States
Yoshimi Fukushima Japan
Sean Hofherr United States
Liying Du relative to Nancie A. Mooney United States Nancie A. Mooney's profile →
Citations per field
00.5×10×13.5×
Nancie A. Mooney · 1×
Citations per year

Countries citing papers authored by Liying Du

Since Specialization
Citations

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

Fields of papers citing papers by Liying Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2007242
2 2004103
3 201162
4 201041
5 200627
6 200920
7 201320
8 200613
9 200510
10 20208
11 20066
12 20084
13 20142
14 20211
15 20200
16 20170

About Liying Du

Liying Du is a scholar working on Molecular Biology, Oncology, Surgery, Animal Science and Zoology and Computational Theory and Mathematics, having authored 16 papers that have together received 559 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (2 papers), Coccidia and coccidiosis research (2 papers), Congenital heart defects research (2 papers), Parasitic Infections and Diagnostics (2 papers), Computational Drug Discovery Methods (2 papers), Animal Nutrition and Physiology (2 papers), Tissue Engineering and Regenerative Medicine (2 papers) and Fatigue and fracture mechanics (1 paper). The work is most often cited by research in Infectious Diseases (90 citations), Molecular Biology (336 citations), Animal Science and Zoology (44 citations), Cell Biology (62 citations) and Genetics (30 citations). Liying Du has collaborated with scholars based in China and United States. Frequent co-authors include Mingxiao Ding, Hongkui Deng, Xiaomeng Sun, Chengyan Wang, Lin Chen, Jun Yong, Pengbo Zhang, Zhijia Tan, Wei Jiang and Ting Liu. Their work appears in journals such as APOPTOSIS, Journal of Visualized Experiments, Neuroreport, Cell Research and Experimental Hematology.

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