Jia Jin

420 total citations
5 papers, 366 citations indexed

About

Jia Jin is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Jia Jin has authored 5 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Oncology and 1 paper in Epidemiology. Recurrent topics in Jia Jin's work include RNA modifications and cancer (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Hepatitis B Virus Studies (1 paper). Jia Jin is often cited by papers focused on RNA modifications and cancer (2 papers), Pancreatic and Hepatic Oncology Research (1 paper) and Hepatitis B Virus Studies (1 paper). Jia Jin collaborates with scholars based in China, France and United States. Jia Jin's co-authors include Nicholas J. G. Webster, Melvyn Hollis, P. Chambón, Yunhong Yin, Mengyu Zhang, Xiao Liu, Yie Yang, Yi Qu, Rui Li and Rui Li and has published in prestigious journals such as Cell, Virology Journal and Artificial Cells Nanomedicine and Biotechnology.

In The Last Decade

Jia Jin

5 papers receiving 363 citations

Peers

Jia Jin
Nicolas Dénervaud Switzerland
Craig S. Hinkley United States
Malcolm Cook United States
Marcel Jurk Germany
Deepankar Roy United States
Marena Trinidad United States
H. Michael Wenz United States
Nicolas Dénervaud Switzerland
Jia Jin
Citations per year, relative to Jia Jin Jia Jin (= 1×) peers Nicolas Dénervaud

Countries citing papers authored by Jia Jin

Since Specialization
Citations

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

Fields of papers citing papers by Jia Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jia Jin

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

All Works

5 of 5 papers shown
1.
Li, Rui, Yunhong Yin, Jia Jin, et al.. (2020). Integrative analysis of DNA methylation-driven genes for the prognosis of lung squamous cell carcinoma using MethylMix. International Journal of Medical Sciences. 17(6). 773–786. 12 indexed citations
3.
Li, Rui, Yie Yang, Jia Jin, et al.. (2019). Identification of lncRNA biomarkers in lung squamous cell carcinoma using comprehensive analysis of lncRNA mediated ceRNA network. Artificial Cells Nanomedicine and Biotechnology. 47(1). 3246–3258. 18 indexed citations
4.
Jin, Jia. (2009). Expression of Cyclin A1 mRNA in Patients with Myelodysplastic Syndrome and Its Clinical Significance. 1 indexed citations
5.
Webster, Nicholas J. G., et al.. (1988). The yeast UASG is a transcriptional enhancer in human hela cells in the presence of the GAL4 trans-activator. Cell. 52(2). 169–178. 330 indexed citations

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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