Daixing Zhou

2.5k total citations
19 papers, 1.9k citations indexed

About

Daixing Zhou is a scholar working on Molecular Biology, Physiology and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Daixing Zhou has authored 19 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Daixing Zhou's work include Molecular Biology Techniques and Applications (4 papers), Pluripotent Stem Cells Research (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). Daixing Zhou is often cited by papers focused on Molecular Biology Techniques and Applications (4 papers), Pluripotent Stem Cells Research (3 papers) and Erythrocyte Function and Pathophysiology (3 papers). Daixing Zhou collaborates with scholars based in United States, China and Australia. Daixing Zhou's co-authors include Vann Bennett, Peter Malen, Linda M. Boland, Stephen B. Lambert, Thomas J. Vasicek, Helene Benveniste, Paula Scotland, Irina Khrebtukova, Robert J. Bloch and Sean Davis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Cancer Research.

In The Last Decade

Daixing Zhou

19 papers receiving 1.9k citations

Peers

Daixing Zhou
Comparison fields: 5 of 118
  • Molecular Biology 1.2k
  • Cellular and Molecular Neuroscience 360
  • Physiology 259
  • Genetics 248
  • Cell Biology 207
Replace Paula V. Monje with:
Paula V. Monje United States
Khoa D. Tran United States
Jan Kučera Czechia
Pu Qin China
Xuelian He China
Andreas W. Kuß Germany
Veronica Bianchi Italy
Daniela Zizioli Italy
Seonhee Kim South Korea
L. Bernier Canada
Paula V. Monje United States View profile →
Citations per field, relative to Daixing Zhou
Daixing Zhou · 1×
Citations per year, relative to Daixing Zhou
Daixing Zhou · 1×

Countries citing papers authored by Daixing Zhou

Since Specialization
Citations

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

Fields of papers citing papers by Daixing Zhou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daixing Zhou

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

All Works

19 of 19 papers shown
# Work Indexed citations
1 4
2 10
3 88
4 49
5 16
6 27
7 5
8 68
9 368
10 130
11 8
12 166
13 77
14 18
15 163
16 38
17 463
18 155
19 88

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