Yunjun Ruan

26 total papers · 430 total citations
22 papers, 333 citations indexed

About

Yunjun Ruan is a scholar working on Molecular Biology, Epidemiology and Biochemistry. According to data from OpenAlex, Yunjun Ruan has authored 22 papers receiving a total of 333 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 6 papers in Epidemiology and 6 papers in Biochemistry. Recurrent topics in Yunjun Ruan's work include Antioxidant Activity and Oxidative Stress (6 papers), Autophagy in Disease and Therapy (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). Yunjun Ruan is often cited by papers focused on Antioxidant Activity and Oxidative Stress (6 papers), Autophagy in Disease and Therapy (5 papers) and Nitric Oxide and Endothelin Effects (4 papers). Yunjun Ruan collaborates with scholars based in China, Malaysia and United Kingdom. Yunjun Ruan's co-authors include Saizhu Wu, Wenyan Lai, Yi Ma, Ting Wu, Enping Chen, Yuyan Wang, Jianming Huang, Jianguo Liu, Heming Wei and Yong Zeng and has published in prestigious journals such as Experimental Cell Research, Experimental Gerontology and The Journal of Steroid Biochemistry and Molecular Biology.

In The Last Decade

Yunjun Ruan

20 papers receiving 326 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Yunjun Ruan	123	67	66	61	50	22	333
Songping Yu	179 1.5×	55 0.8×	54 0.8×	64 1.0×	54 1.1×	25	390
Lingling Zhan	123 1.0×	56 0.8×	52 0.8×	25 0.4×	59 1.2×	23	345
Mohanad Gabani	159 1.3×	82 1.2×	70 1.1×	91 1.5×	36 0.7×	15	366
Chuanshi Xiao	166 1.3×	63 0.9×	95 1.4×	80 1.3×	30 0.6×	24	388
Jian Sun	173 1.4×	35 0.5×	47 0.7×	28 0.5×	54 1.1×	23	400
Naser Safaie	163 1.3×	50 0.7×	57 0.9×	30 0.5×	29 0.6×	27	399
Hye-Na Cha	158 1.3×	130 1.9×	97 1.5×	22 0.4×	60 1.2×	19	385
Heng-Jing Hu	151 1.2×	74 1.1×	45 0.7×	34 0.6×	36 0.7×	21	355
Jiesheng Gao	135 1.1×	31 0.5×	40 0.6×	34 0.6×	48 1.0×	21	403
Wenwei Luo	175 1.4×	55 0.8×	41 0.6×	35 0.6×	37 0.7×	29	365

Countries citing papers authored by Yunjun Ruan

Since Specialization

Citations

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

Fields of papers citing papers by Yunjun Ruan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunjun Ruan

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

All Works

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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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