Lili Wu

607 citations
16 papers · 443 · h-index 9

Impact in

    • Cancer-related Molecular Pathways
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • RNA Research and Splicing
    • Retinoids in leukemia and cellular processes
    • Genomics and Phylogenetic Studies

Papers in

    • Gene Regulatory Network Analysis 3
    • RNA and protein synthesis mechanisms 2
    • Retinoids in leukemia and cellular processes 1
    • Bacterial Genetics and Biotechnology 2

Lili Wu

16 papers receiving 440 citations

Peers

Lili Wu
Comparison fields: 5 of 87
  • Oncology 98
  • Molecular Biology 238
  • Clinical Psychology 58
  • Biotechnology 24
  • Cancer Research 37
Replace Gillian Howell with:
Gillian Howell United States
Michael Kersten Germany
Xiaobin Wang China
Nathalie Favre Switzerland
Amanda Harvey United Kingdom
Amy C. Willis United States
Ruby Dhar India
Young Shin Lee South Korea
Linda Liang Germany
Lili Wu relative to Gillian Howell United States Gillian Howell's profile →
Citations per field
00.5×2.9×
Gillian Howell · 1×
Citations per year

Countries citing papers authored by Lili Wu

Since Specialization
Citations

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

Fields of papers citing papers by Lili Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2020179
2 201191
3 201868
4 201724
5 202023
6 201715
7 202411
8 20179
9 20189
10
Identification of MT overexpression in tobacco and analysis of Cd2+ resistance in transgenic plants.
20095
11 20232
12 20242
13
[Establishment of the animal model with unilateral alveolar cleft and its effect on the nose growth].
20102
14 20221
15 20191
16 20181

About Lili Wu

Lili Wu is a scholar working on Molecular Biology, Genetics, Clinical Psychology, Oncology and Plant Science, having authored 16 papers that have together received 443 indexed citations. Recurring topics across this work include Gene Regulatory Network Analysis (3 papers), RNA and protein synthesis mechanisms (2 papers), Bacterial Genetics and Biotechnology (2 papers), Grief, Bereavement, and Mental Health (2 papers), Vibrio bacteria research studies (1 paper), Polysaccharides and Plant Cell Walls (1 paper), Retinoids in leukemia and cellular processes (1 paper) and Cancer-related Molecular Pathways (1 paper). The work is most often cited by research in Oncology (98 citations), Molecular Biology (238 citations), Clinical Psychology (58 citations), Biotechnology (24 citations) and Cancer Research (37 citations). Lili Wu has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shuo Chen, Xin Lü, Ying Liang, Yangfei Xing, Shujun Xiao, Huaxin Song, Ni Yan, Yigang Tang, Min Lü and Zhengyuan Wang. Their work appears in journals such as ACS Synthetic Biology, PLoS ONE, Nucleic Acids Research, European journal of psychotraumatology and Cancer Cell.

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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