Peihao Wen

1.1k citations
39 papers · 749 · h-index 14

Impact in

    • Cancer-related molecular mechanisms research
    • MicroRNA in disease regulation
  • Hepatology top 10%
    • Liver Disease and Transplantation

Papers in

    • Circular RNAs in diseases 4
    • RNA modifications and cancer 4
    • Protein Degradation and Inhibitors 3
    • Organ Transplantation Techniques and Outcomes 8

Peihao Wen

35 papers receiving 743 citations

Peers

Peihao Wen
Comparison fields: 5 of 88
  • Cancer Research 261
  • Hepatology 87
  • Transplantation 18
  • Molecular Biology 447
  • Pharmacology 53
Replace Chengyong Tang with:
Chengyong Tang China
Shuqiang Yue China
Kazushige Sakitani Japan
Chengguo Wei United States
Yanbin Gao China
Koki Sato Japan
Xiaoli Liu China
Catherine Ribault France
Qiaoke Gong United States
Peihao Wen relative to Chengyong Tang China Chengyong Tang's profile →
Citations per field
00.5×1.5×1.9×
Chengyong Tang · 1×
Citations per year

Countries citing papers authored by Peihao Wen

Since Specialization
Citations

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

Fields of papers citing papers by Peihao Wen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201799
2 201879
3 201964
4 202053
5 201952
6 201752
7 201949
8 202135
9 202131
10 202031
11 202127
12 202019
13 201716
14 202115
15 202013
16 202313
17 201711
18 201911
19 201610
20 20219

About Peihao Wen

Peihao Wen is a scholar working on Molecular Biology, Surgery, Cancer Research, Hepatology and Epidemiology, having authored 39 papers that have together received 749 indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (8 papers), Cancer-related molecular mechanisms research (7 papers), Liver Disease and Transplantation (5 papers), MicroRNA in disease regulation (5 papers), Circular RNAs in diseases (4 papers), RNA modifications and cancer (4 papers), Protein Degradation and Inhibitors (3 papers) and Ferroptosis and cancer prognosis (3 papers). The work is most often cited by research in Cancer Research (261 citations), Hepatology (87 citations), Transplantation (18 citations), Molecular Biology (447 citations) and Pharmacology (53 citations). Peihao Wen has collaborated with scholars based in China, United Kingdom and Germany. Frequent co-authors include Wenzhi Guo, Shuijun Zhang, Jiakai Zhang, Xiaoyi Shi, Zhihui Wang, Jihua Shi, Qiang He, Shengli Cao, Yu Liu and Sanyang Chen. Their work appears in journals such as Hepatology, Scientific Reports, Journal of Surgical Research, Oncotarget and Frontiers in Oncology.

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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