Zhi Fen Wu

602 citations
8 papers · 453 indexed · h-index 8
Topics
Protein Kinase Regulation and GTPase Signaling (2 papers)Effects and risks of endocrine disrupting chemicals (2 papers)Cancer, Hypoxia, and Metabolism (2 papers)

In The Last Decade

Zhi Fen Wu

8 papers receiving 444 citations

Peers

Zhi Fen Wu
Comparison fields: 5 of 73
  • Molecular Biology 212
  • Oncology 144
  • Cancer Research 132
  • Health, Toxicology and Mutagenesis 83
  • Genetics 82
Replace Brandie N. Radde with:
Brandie N. Radde United States
Pei-Yin Hsu United States
Kenneth S. Ramos United States
Bhavna Bhardwaj United States
Thenaa K. Said United States
Shivendra V. Singh United States
Joseph T. Woitach United States
Quivo Tahin United States
Keshav K. Singh United States
Nobuyuki Kuribayashi Japan
Zhi Fen Wu relative to Brandie N. Radde United States Brandie N. Radde's profile →
Citations per field
00.5×1.5×1.8×
Brandie N. Radde · 1×
Citations per year

Countries citing papers authored by Zhi Fen Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhi Fen Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhi Fen Wu

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 34
2 27
3 41
4 62
5
Reversion of RhoC GTPase-induced inflammatory breast cancer phenotype by treatment with a farnesyl transferase inhibitor.
72
6 85
7 15
8 117

About Zhi Fen Wu

Zhi Fen Wu is a scholar working on Cancer Research, Health, Toxicology and Mutagenesis and Oncology, having authored 8 papers that have together received 453 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (2 papers), Effects and risks of endocrine disrupting chemicals (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Cancer Research (132 citations), Health, Toxicology and Mutagenesis (83 citations) and Oncology (144 citations). Zhi Fen Wu has collaborated with scholars based in United States, Singapore and Canada. Frequent co-authors include Sofía D. Merajver, Luc Van Kaer, Li Bao, Weston W. Porter, Stephen Safe, Timothy R. Zacharewski, Bradley E. Gillesby, Fred R. Miller, Quintin Pan and George C. Prendergast. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Biochemistry.

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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