Xiaona Niu

477 total citations
18 papers, 407 citations indexed

About

Xiaona Niu is a scholar working on Molecular Biology, Hematology and Electrical and Electronic Engineering. According to data from OpenAlex, Xiaona Niu has authored 18 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Hematology and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Xiaona Niu's work include Acute Myeloid Leukemia Research (7 papers), Retinoids in leukemia and cellular processes (4 papers) and Quantum Dots Synthesis And Properties (3 papers). Xiaona Niu is often cited by papers focused on Acute Myeloid Leukemia Research (7 papers), Retinoids in leukemia and cellular processes (4 papers) and Quantum Dots Synthesis And Properties (3 papers). Xiaona Niu collaborates with scholars based in China. Xiaona Niu's co-authors include Hongbing Zhu, Yuting Guo, Jingwei Chen, Yaohua Mai, Wen Zhang, Zhiqiang Li, Xu Chen, Chong Zhang, Chong Zhang and Dong Zhou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Scientific Reports.

In The Last Decade

Xiaona Niu

17 papers receiving 401 citations

Peers

Xiaona Niu
Comparison fields: 5 of 63
  • Electrical and Electronic Engineering 301
  • Materials Chemistry 289
  • Atomic and Molecular Physics, and Optics 41
  • Molecular Biology 32
  • Hematology 26
Replace Bai‐Hao Chen with:
Bai‐Hao Chen United States
K. W. Lee South Korea
K. Latha India
Yuxuan Chen China
Miaoling Lin China
Ziyang Zeng China
Takatoshi Matsuo Japan
Martin Bunček Czechia
Kayo Nagashima Japan
Aaron R. Johnson United States
Bai‐Hao Chen United States View profile →
Citations per field, relative to Xiaona Niu
Xiaona Niu · 1×
Citations per year, relative to Xiaona Niu
Xiaona Niu · 1×

Countries citing papers authored by Xiaona Niu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaona Niu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaona Niu

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

All Works

18 of 18 papers shown
# Work Indexed citations
1 1
2 3
3 0
4 9
5 9
6
The Prognostic Significance of C-Reactive Protein to Albumin Ratio in Newly Diagnosed Acute Myeloid Leukaemia Patients
18
7 5
8 22
9 6
10 2
11 14
12 5
13 9
14 2
15 2
16 87
17 207
18 6

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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2026