Peijun Wu

4.2k citations
22 papers · 3.1k indexed · 1 hit paper · h-index 11
Topics
Plant Virus Research Studies (5 papers)Advancements in Battery Materials (4 papers)Single-cell and spatial transcriptomics (3 papers)

In The Last Decade

Peijun Wu

21 papers receiving 3.1k citations

Hit Papers

Inhibition of Poly(ADP-Ribose) Polymerase in Tumors from ...2009202620142020200950010001.5k2.0k2.5k

Peers

Peijun Wu
Comparison fields: 5 of 131
  • Oncology 2.0k
  • Molecular Biology 1.8k
  • Genetics 696
  • Cancer Research 574
  • Pulmonary and Respiratory Medicine 413
Replace Guang Peng with:
Guang Peng United States
Rakesh Kumar India
Diana C.J. Spierings Netherlands
Silvia Di Agostino Italy
Rebecca T. Marquez United States
Donald R. Schwartz United States
José Antonio Rodríguez Spain
Joseph Kwong Hong Kong
Yue Wang China
Qing Sheng China
Peijun Wu relative to Guang Peng United States Guang Peng's profile →
Citations per field
00.5×1.5×2.4×
Guang Peng · 1×
Citations per year

Countries citing papers authored by Peijun Wu

Since Specialization
Citations

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

Fields of papers citing papers by Peijun Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peijun Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Peijun Wu. A scholar is included among the top collaborators of Peijun Wu 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 Peijun Wu. Peijun Wu 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 0
2 8
3 1
4 7
5 6
6 10
7 10
8 13
9 6
10 8
11 32
12 64
13 37
14
Inhibition of Poly(ADP-Ribose) Polymerase in Tumors from BRCA Mutation Carriersbreakdown →
2698
15 4
16 67
17 34
18 7
19 85
20 37

About Peijun Wu

Peijun Wu is a scholar working on Endocrinology, Molecular Medicine and Automotive Engineering, having authored 22 papers that have together received 3.1k indexed citations. Recurring topics across this work include Plant Virus Research Studies (5 papers), Advancements in Battery Materials (4 papers) and Single-cell and spatial transcriptomics (3 papers). The work is most often cited by research in Oncology (2.0k citations), Reproductive Medicine (382 citations) and Cancer Research (574 citations). Peijun Wu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include James Carmichael, Timothy A. Yap, Marja Mergui‐Roelvink, Jan H.M. Schellens, Andrew Tutt, Mark J. O’Connor, Alan Ashworth, Peter G. Mortimer, Johann S. de Bono and Alan Lau. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and Nature 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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