Xiuna Yang

11.8k total citations
44 papers, 1.1k citations indexed

About

Xiuna Yang is a scholar working on Molecular Biology, Infectious Diseases and Genetics. According to data from OpenAlex, Xiuna Yang has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 15 papers in Infectious Diseases and 7 papers in Genetics. Recurrent topics in Xiuna Yang's work include Tuberculosis Research and Epidemiology (9 papers), Enzyme Structure and Function (7 papers) and Bacterial Genetics and Biotechnology (7 papers). Xiuna Yang is often cited by papers focused on Tuberculosis Research and Epidemiology (9 papers), Enzyme Structure and Function (7 papers) and Bacterial Genetics and Biotechnology (7 papers). Xiuna Yang collaborates with scholars based in China, Australia and United States. Xiuna Yang's co-authors include Zihe Rao, Luke W. Guddat, Haitao Yang, Bing Zhang, Xiaolin Yang, Yao Zhao, Fengjiang Liu, Lijie Wu, Jun Li and Quan Wang and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Xiuna Yang

43 papers receiving 1.0k citations

Peers

Xiuna Yang
Comparison fields: 5 of 103
  • Molecular Biology 596
  • Infectious Diseases 360
  • Epidemiology 202
  • Computational Theory and Mathematics 108
  • Genetics 90
Replace Katie J. Simmons with:
Katie J. Simmons United Kingdom
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Liqiang Chen United States
Kalaiarasan Ponnusamy India
Valentyn Oksenych Norway
Mi‐Kyung Yun United States
Sajib Chakraborty Bangladesh
David P. Jacobus United States
Bjoern Meyer Germany
Anuradha Balasubramanian United States
Katie J. Simmons United Kingdom View profile →
Citations per field, relative to Xiuna Yang
Xiuna Yang · 1×
Citations per year, relative to Xiuna Yang
Xiuna Yang · 1×

Countries citing papers authored by Xiuna Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiuna Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiuna Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiuna Yang. A scholar is included among the top collaborators of Xiuna Yang 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 Xiuna Yang. Xiuna Yang 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
# Work Indexed citations
1 1
2 1
3 1
4 2
5 5
6 106
7 4
8 56
9 39
10 29
11 22
12 27
13
Long noncoding RNA TUG1 promotes progression via upregulating DGCR8 in prostate cancer
5
14 183
15 28
16 24
17 46
18 8
19 73
20 39

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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