Kai Ruan

2.8k total citations · 1 hit paper
23 papers, 2.0k citations indexed

About

Kai Ruan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Kai Ruan has authored 23 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Kai Ruan's work include Signaling Pathways in Disease (4 papers), Mitochondrial Function and Pathology (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Kai Ruan is often cited by papers focused on Signaling Pathways in Disease (4 papers), Mitochondrial Function and Pathology (3 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). Kai Ruan collaborates with scholars based in United States, China and Germany. Kai Ruan's co-authors include Gaoliang Ouyang, Gang Song, Xiaoguang Fang, Shideng Bao, R. Grace Zhai, Yousuf Ali, Yubin Mao, Thomas E. Lloyd, Jonathan C. Grima and Kathleen M. Cunningham and has published in prestigious journals such as Cell, Nature Communications and Human Molecular Genetics.

In The Last Decade

Kai Ruan

22 papers receiving 1.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Stress Granule Assembly Disrupts Nucleocytoplasmic Transport

2018 279 citations Ke Zhang, J. Gavin Daigle et al. Cell profile →

Peers

Kai Ruan

MB

CR

ONCOL

NEURO

CCM

Xuan Cheng China

Oliver Renner Spain

Ingeborg Klaassen Netherlands

Hui Meng China

Hao Ding China

Takashi Yagi Japan

Xiaowei Zheng Sweden

Kavi Devraj Germany

Luyang Yu China

Xuan Cheng China

Kai Ruan

1.5k ×1.2

MB

531 ×0.8

CR

365 ×1.2

ONCOL

135 ×0.6

NEURO

189 ×1.1

CCM

Citations per year, relative to Kai Ruan Kai Ruan (= 1×) peers Xuan Cheng

Countries citing papers authored by Kai Ruan

Since Specialization

Citations

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

Fields of papers citing papers by Kai Ruan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Ruan

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Ruan, Kai, Adriana Rebelo, Rebecca Schüle, et al.. (2024). Loss of Fic causes progressive neurodegeneration in a Drosophila model of hereditary spastic paraplegia. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1870(7). 167348–167348. 3 indexed citations

2.

Ruan, Kai, et al.. (2023). Application of Kano Model in Risk Identification of Software Development Projects. BCP Business & Management. 40. 33–39. 1 indexed citations

3.

Liu, Jiaqi, Yi Zhu, Chong Li, et al.. (2021). NMNAT promotes glioma growth through regulating post-translational modifications of P53 to inhibit apoptosis. eLife. 10. 17 indexed citations

4.

Cunningham, Kathleen M., Kai Ruan, Mümine Şentürk, et al.. (2020). TFEB/Mitf links impaired nuclear import to autophagolysosomal dysfunction in C9-ALS. eLife. 9. 58 indexed citations

5.

Ho, Lap, Danyue Zhao, Kenjiro Ono, et al.. (2018). Heterogeneity in gut microbiota drive polyphenol metabolism that influences α-synuclein misfolding and toxicity. The Journal of Nutritional Biochemistry. 64. 170–181. 56 indexed citations

6.

Zhang, Ke, J. Gavin Daigle, Kathleen M. Cunningham, et al.. (2018). Stress Granule Assembly Disrupts Nucleocytoplasmic Transport. Cell. 173(4). 958–971.e17. 279 indexed citations breakdown →

7.

Wu, Yanpeng, Xiaoqi Peng, Jiang Qian, & Kai Ruan. (2017). An Improved Method of Flotation Froth Image Segmentation Based on Watershed Transformation.. J. Inf. Hiding Multim. Signal Process.. 8. 238–247. 1 indexed citations

8.

Tamir, Sharon, Kai Ruan, Mark Wilhelm, et al.. (2017). KPT-350 reduces neurodegeneration and rescues aberrant nucleocytoplasmic transport in drosophila model of C9ORF72 ALS/FTD. Journal of the Neurological Sciences. 381. 715–715. 1 indexed citations

9.

Ocampo, Alejandro, Kai Ruan, Yi Zhu, et al.. (2016). Attenuation of polyglutamine-induced toxicity by enhancement of mitochondrial OXPHOS in yeast and fly models of aging. Microbial Cell. 3(8). 338–351. 11 indexed citations

10.

Wu, Yanpeng, et al.. (2016). Improved image segmentation method based on morphological reconstruction. Multimedia Tools and Applications. 76(19). 19781–19793. 28 indexed citations

11.

Ruan, Kai, Yi Zhu, Chong Li, Jennifer M. Brazill, & R. Grace Zhai. (2015). Alternative splicing of Drosophila Nmnat functions as a switch to enhance neuroprotection under stress. Nature Communications. 6(1). 10057–10057. 30 indexed citations

12.

Ruan, Kai, et al.. (2014). Fixed-Point Iteration Method for Solving the Convex Quadratic Programming with Mixed Constraints. Applied Mathematics. 5(2). 256–262.

13.

Ali, Yousuf, et al.. (2012). Nicotinamide mononucleotide adenylyltransferase maintains active zone structure by stabilizing Bruchpilot. EMBO Reports. 14(1). 87–94. 18 indexed citations

14.

Ali, Yousuf, et al.. (2011). Assaying Locomotor, Learning, and Memory Deficits in <em>Drosophila</em> Models of Neurodegeneration. Journal of Visualized Experiments. 132 indexed citations

15.

Ali, Yousuf, Kai Ruan, & R. Grace Zhai. (2011). NMNAT suppresses Tau-induced neurodegeneration by promoting clearance of hyperphosphorylated Tau oligomers in a Drosophila model of tauopathy. Human Molecular Genetics. 21(2). 237–250. 83 indexed citations

16.

Ruan, Kai, Shideng Bao, & Gaoliang Ouyang. (2009). The multifaceted role of periostin in tumorigenesis. Cellular and Molecular Life Sciences. 66(14). 2219–2230. 274 indexed citations

17.

Ouyang, Gaoliang, Luming Yao, Kai Ruan, et al.. (2009). Genistein induces G2/M cell cycle arrest and apoptosis of human ovarian cancer cells via activation of DNA damage checkpoint pathways. Cell Biology International. 33(12). 1237–1244. 104 indexed citations

18.

Ruan, Kai, Gang Song, & Gaoliang Ouyang. (2009). Role of hypoxia in the hallmarks of human cancer. Journal of Cellular Biochemistry. 107(6). 1053–1062. 372 indexed citations

19.

Ouyang, Gaoliang, Min Liu, Kai Ruan, et al.. (2009). Upregulated expression of periostin by hypoxia in non-small-cell lung cancer cells promotes cell survival via the Akt/PKB pathway. Cancer Letters. 281(2). 213–219. 84 indexed citations

20.

Ruan, Kai, Xiaoguang Fang, & Gaoliang Ouyang. (2009). MicroRNAs: Novel regulators in the hallmarks of human cancer. Cancer Letters. 285(2). 116–126. 382 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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