Lili Shu

1.1k citations
12 papers · 880 indexed · h-index 8
Topics
PI3K/AKT/mTOR signaling in cancer (5 papers)Beetle Biology and Toxicology Studies (2 papers)Bioactive Compounds and Antitumor Agents (2 papers)
Partner nations
United StatesChinaJapan

In The Last Decade

Lili Shu

12 papers receiving 871 citations

Peers

Lili Shu
Comparison fields: 5 of 78
  • Molecular Biology 685
  • Oncology 193
  • Pulmonary and Respiratory Medicine 121
  • Cancer Research 104
  • Pathology and Forensic Medicine 86
Replace Cheryl A. Doughty with:
Cheryl A. Doughty United States
Derek L. Dai Canada
Takuma Shikata Japan
Luca Pellegrinet United Kingdom
Rafał Pawłowski United Kingdom
Lingchen Fu United States
Merav Yoeli-Lerner United States
Tewfik Hamidi France
Desi Pan China
Sandrine Prost United Kingdom
Lili Shu relative to Cheryl A. Doughty United States Cheryl A. Doughty's profile →
Citations per field
00.5×1.5×1.8×
Cheryl A. Doughty · 1×
Citations per year

Countries citing papers authored by Lili Shu

Since Specialization
Citations

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

Fields of papers citing papers by Lili Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lili Shu

This figure shows the co-authorship network connecting the top 25 collaborators of Lili Shu. A scholar is included among the top collaborators of Lili Shu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lili Shu. Lili Shu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 2
2
SLAM family predicting the initiation potential of human acute lymphoblastic leukemia in NOD/SCID mice.
2
3 1
4 52
5 25
6 94
7 184
8 111
9 51
10 97
11
Rapamycin causes poorly reversible inhibition of mTOR and induces p53-independent apoptosis in human rhabdomyosarcoma cells.
257
12 4

About Lili Shu

Lili Shu is a scholar working on Toxicology, Clinical Biochemistry and Immunology, having authored 12 papers that have together received 880 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (5 papers), Beetle Biology and Toxicology Studies (2 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Molecular Biology (685 citations), Oncology (193 citations) and Cancer Research (104 citations). Lili Shu has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Peter J. Houghton, Michael B. Dilling, Hajime Hosoi, Franklin C. Harwood, Glen S. Germain, Peter J. Houghton, Shile Huang, Hidenori Ichijo, John Easton and Xiongwen Zhang. Their work appears in journals such as Journal of Biological Chemistry, Molecular Cell and Molecular and Cellular Biology.

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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