Jing Xiang

1.1k total citations
50 papers, 728 citations indexed

About

Jing Xiang is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Jing Xiang has authored 50 papers receiving a total of 728 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Cancer Research. Recurrent topics in Jing Xiang's work include RNA modifications and cancer (6 papers), MicroRNA in disease regulation (4 papers) and Ferroptosis and cancer prognosis (4 papers). Jing Xiang is often cited by papers focused on RNA modifications and cancer (6 papers), MicroRNA in disease regulation (4 papers) and Ferroptosis and cancer prognosis (4 papers). Jing Xiang collaborates with scholars based in China, United States and Australia. Jing Xiang's co-authors include Lianxiang Luo, Xiaoying Zhao, Xuanming Liu, James L. Weller, Gregory M. Symons, Javier Lopez, Xuhong Yu, Chentao Lin, Eloise Foo and James B. Reid and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Jing Xiang

47 papers receiving 722 citations

Peers

Jing Xiang
Comparison fields: 5 of 107
  • Molecular Biology 340
  • Plant Science 236
  • Cancer Research 127
  • Pulmonary and Respiratory Medicine 79
  • Immunology 70
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Citations per field, relative to Jing Xiang
Jing Xiang · 1×
Citations per year, relative to Jing Xiang
Jing Xiang · 1×

Countries citing papers authored by Jing Xiang

Since Specialization
Citations

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

Fields of papers citing papers by Jing Xiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jing Xiang

This figure shows the co-authorship network connecting the top 25 collaborators of Jing Xiang. A scholar is included among the top collaborators of Jing Xiang 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 Jing Xiang. Jing Xiang 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 4
4 16
5 6
6 8
7 9
8 8
9 2
10 4
11 7
12 3
13 4
14 26
15
Chinese IP Judicial System Reform : Past and Future
1
16
A* Lasso for Learning a Sparse Bayesian Network Structure for Continuous Variables
12
17
A DHHC-type zinc finger protein gene regulates shoot branching in Arabidopsis
10
18
Talking about environmental cost controlling of coal enterprise
0
19
Time frequency coding underwater acoustic communication
0
20
The Longitudinal Distribution of Source Intensity Spectrum of Ship-radiated noise
2

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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