Peng Xia

142 papers receiving 2.6k citations

Hit Papers

METTL5 stabilizes c‐Myc by facilitating USP5 translation to reprogram glucose metabolism and promote hepatocellular carcinoma progression 2023 · 99 citations
992023202620242025255075

Peers

Peng Xia
Comparison fields: 5 of 162
  • Cancer Research 401
  • Behavioral Neuroscience 73
  • Developmental Neuroscience 79
  • Molecular Biology 1.2k
  • Biological Psychiatry 38
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Han Jiang China
Danyang Chen China
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Shih-Hwa Chiou Taiwan
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Citations per field
00.5×1.7×
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Citations per year

Countries citing papers authored by Peng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Peng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 151 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003184
2 2021171
3
METTL5 stabilizes c‐Myc by facilitating USP5 translation to reprogram glucose metabolism and promote hepatocellular carcinoma progression
Hit paper breakdown →
202399
4 202089
5 201489
6 201674
7 201772
8 200572
9 200168
10 202062
11 202258
12 201150
13
P53 is required for Doxorubicin-induced apoptosis via the TGF-beta signaling pathway in osteosarcoma-derived cells.
201646
14 202145
15 201843
16 201842
17 200841
18 201440
19 201738
20 201835

About Peng Xia

Peng Xia is a scholar working on Hepatology, Cancer Research, Immunology and Allergy, Molecular Biology and Immunology, having authored 151 papers that have together received 2.7k indexed citations. Recurring topics across this work include Liver physiology and pathology (15 papers), RNA modifications and cancer (14 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Cancer-related molecular mechanisms research (9 papers), MicroRNA in disease regulation (8 papers), Extracellular vesicles in disease (8 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Nanoplatforms for cancer theranostics (7 papers). The work is most often cited by research in Cancer Research (401 citations), Behavioral Neuroscience (73 citations), Developmental Neuroscience (79 citations), Molecular Biology (1.2k citations) and Biological Psychiatry (38 citations). Peng Xia has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jing Ai, Hao Zhang, Yufeng Yuan, Meiyu Geng, Weijie Ma, Kequan Xu, Yuening Liu, Gang Pei, Zhaokang Cheng and Jingrui Chen. Their work appears in journals such as Journal of Medicinal Chemistry, European Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, Journal of Computational and Applied Mathematics and Biochemical and Biophysical Research Communications.

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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