Haixia Wu

439 citations
24 papers · 364 indexed · h-index 11
Topics
Cancer-related molecular mechanisms research (6 papers)MicroRNA in disease regulation (5 papers)Metal complexes synthesis and properties (4 papers)
Partner nations
ChinaFranceSingapore

In The Last Decade

Haixia Wu

23 papers receiving 357 citations

Peers

Haixia Wu
Comparison fields: 5 of 56
  • Molecular Biology 249
  • Cancer Research 114
  • Oncology 107
  • Materials Chemistry 64
  • Organic Chemistry 42
Replace Jennifer L. Allensworth with:
Jennifer L. Allensworth United States
Ximing Tang China
Andrew J. Evans United Kingdom
Zhenlei Zhang China
William Wolter United States
Petr Sova Czechia
James W. Furbee United States
Wenqian Li China
Banashree Bondhopadhyay India
Helen M. Eliot United States
Haixia Wu relative to Jennifer L. Allensworth United States Jennifer L. Allensworth's profile →
Citations per field
00.5×1.5×
Jennifer L. Allensworth · 1×
Citations per year

Countries citing papers authored by Haixia Wu

Since Specialization
Citations

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

Fields of papers citing papers by Haixia Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haixia Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Haixia Wu. A scholar is included among the top collaborators of Haixia 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 Haixia Wu. Haixia 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 1
2 2
3 1
4 2
5 1
6 15
7 7
8 10
9 11
10 26
11 4
12 15
13 16
14 12
15
Recombinant human endostatin combined with navelbine and cisplatin in first line treatment of advanced non-small cell lung cancer
1
16 6
17 9
18 49
19 4
20 73

About Haixia Wu

Haixia Wu is a scholar working on Cancer Research, Electrochemistry and Oncology, having authored 24 papers that have together received 364 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Metal complexes synthesis and properties (4 papers). The work is most often cited by research in Cancer Research (114 citations), Electrochemistry (24 citations) and Oncology (107 citations). Haixia Wu has collaborated with scholars based in China, France and Singapore. Frequent co-authors include Jingwan Kang, Xiaoquan Lu, Lin Zhuo, Hongde Liu, Min Zhang, Dexiang Zhang, Yongsheng Wang, Lin Zhou, Zhiyun He and Xudong Dai. Their work appears in journals such as Journal of Cellular Biochemistry, Oncotarget and Bioorganic & Medicinal Chemistry.

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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