Haijun Lin

599 total citations
3 papers, 74 citations indexed

About

Haijun Lin is a scholar working on Molecular Biology, Cancer Research and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Haijun Lin has authored 3 papers receiving a total of 74 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Cancer Research and 1 paper in Pediatrics, Perinatology and Child Health. Recurrent topics in Haijun Lin's work include MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Circular RNAs in diseases (1 paper). Haijun Lin is often cited by papers focused on MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and Circular RNAs in diseases (1 paper). Haijun Lin collaborates with scholars based in China, Australia and Denmark. Haijun Lin's co-authors include Yanhua Wen, Yuan Fang, Mei Jia, Hongkun Zheng, Rong Xu, Shao‐Hua Yang, Guanyi Kong, Zhongfang Shi, Xiang Liu and Jiaxin Li and has published in prestigious journals such as Journal of Psychiatric Research, Stem Cell Research & Therapy and Cellular Physiology and Biochemistry.

In The Last Decade

Haijun Lin

3 papers receiving 73 citations

Peers

Haijun Lin
Zohra Saci Canada
Ivy Tsz-Lo Wong United States
Viren Amin United States
Emre Kırat Türkiye
Scott Norton United States
Vassily Trubetskoy United States
Benjamin J. Auerbach United States
Zohra Saci Canada
Haijun Lin
Citations per year, relative to Haijun Lin Haijun Lin (= 1×) peers Zohra Saci

Countries citing papers authored by Haijun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haijun Lin

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

All Works

3 of 3 papers shown
1.
Wang, Weijing, Weilong Li, Wenjie Jiang, et al.. (2020). Genome-wide DNA methylation analysis of cognitive function in middle and old-aged Chinese monozygotic twins. Journal of Psychiatric Research. 136. 571–580. 15 indexed citations
2.
Wang, Yingying, Haijun Lin, Xi Zhang, et al.. (2019). Long noncoding RNA CCDC144NL-AS1 knockdown induces naïve-like state conversion of human pluripotent stem cells. Stem Cell Research & Therapy. 10(1). 220–220. 12 indexed citations
3.
Li, Jiaxin, Haijun Lin, Guanyi Kong, et al.. (2018). High-Throughput Data of Circular RNA Profiles in Human Temporal Cortex Tissue Reveals Novel Insights into Temporal Lobe Epilepsy. Cellular Physiology and Biochemistry. 45(2). 677–691. 47 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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