Pengju Zhang

2.8k citations
72 papers · 2.0k indexed · 2 hit papers · h-index 25
Topics
Ubiquitin and proteasome pathways (12 papers)Cancer-related gene regulation (12 papers)RNA modifications and cancer (9 papers)

In The Last Decade

Pengju Zhang

70 papers receiving 2.0k citations

Hit Papers

Oxidative stress and diabetes: antioxidative strategies202020262022202420202024100200300

Peers

Pengju Zhang
Comparison fields: 5 of 119
  • Molecular Biology 1.3k
  • Cancer Research 472
  • Oncology 304
  • Plant Science 187
  • Pulmonary and Respiratory Medicine 179
Replace Claudia Tonelli with:
Claudia Tonelli Italy
Dandan Wu China
Soona Shin United States
Durga Nand Tripathi India
Larisa Nonn United States
Rathinasamy Baskaran Taiwan
Dionysios V. Chartoumpekis Greece
Yangsik Jeong South Korea
Marilena Lanzino Italy
Tongde Wu United States
Pengju Zhang relative to Claudia Tonelli Italy Claudia Tonelli's profile →
Citations per field
00.5×1.5×1.8×
Claudia Tonelli · 1×
Citations per year

Countries citing papers authored by Pengju Zhang

Since Specialization
Citations

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

Fields of papers citing papers by Pengju Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengju Zhang

This figure shows the co-authorship network connecting the top 25 collaborators of Pengju Zhang. A scholar is included among the top collaborators of Pengju Zhang 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 Pengju Zhang. Pengju Zhang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 0
3 3
4 21
5 26
6 7
7 22
8 2
9 29
10 16
11 10
12 67
13 157
14 27
15 8
16
Construction and expression of eukaryotic expression plasmid of microRNA let-7a2 in lung cancer cells.
1
17 34
18 14
19 44
20 8

About Pengju Zhang

Pengju Zhang is a scholar working on Cancer Research, Molecular Biology and Oncology, having authored 72 papers that have together received 2.0k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (12 papers), Cancer-related gene regulation (12 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Cancer Research (472 citations), Molecular Biology (1.3k citations) and Aging (26 citations). Pengju Zhang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Yuanyuan Zhang, Xingyun Wu, Tao Li, Canhua Huang, Edouard C. Nice, Guangwei Wei, Jian‐Hua Mao, Anli Jiang, Yunshan Wang and Weiwen Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer and Cancer Research.

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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