Shanshan Ren

452 total citations
20 papers, 315 citations indexed

About

Shanshan Ren is a scholar working on Molecular Biology, Computer Networks and Communications and Statistical and Nonlinear Physics. According to data from OpenAlex, Shanshan Ren has authored 20 papers receiving a total of 315 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Computer Networks and Communications and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Shanshan Ren's work include Genomics and Phylogenetic Studies (7 papers), Neural Networks Stability and Synchronization (5 papers) and stochastic dynamics and bifurcation (4 papers). Shanshan Ren is often cited by papers focused on Genomics and Phylogenetic Studies (7 papers), Neural Networks Stability and Synchronization (5 papers) and stochastic dynamics and bifurcation (4 papers). Shanshan Ren collaborates with scholars based in China, Netherlands and Germany. Shanshan Ren's co-authors include Zaid Al-Ars, Jürgen Kurths, Koen Bertels, Nauman Ahmed, Jonathan Lévy, Yaosong Wu, Xinyu Wang, Yan Liu, Long Li and Vlad-Mihai Sima and has published in prestigious journals such as Nature Communications, BMC Bioinformatics and Neurocomputing.

In The Last Decade

Shanshan Ren

18 papers receiving 307 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Shanshan Ren China	10	145	115	103	57	44	20	315
Merav Parter Israel	9	190 1.3×	147 1.3×	98 1.0×	40 0.7×	12 0.3×	61	509
Christopher Mueller United States	14	57 0.4×	244 2.1×	24 0.2×	39 0.7×	55 1.3×	31	644
Konstantinos Giannakis Greece	9	83 0.6×	72 0.6×	97 0.9×	36 0.6×	8 0.2×	40	299
Marc Hellmuth Germany	10	183 1.3×	48 0.4×	58 0.6×	36 0.6×	24 0.5×	54	352
Abha Ahuja United States	6	33 0.2×	153 1.3×	42 0.4×	31 0.5×	9 0.2×	13	286
Gerd Gruenert Germany	10	186 1.3×	46 0.4×	34 0.3×	36 0.6×	36 0.8×	12	307
Henry J. Beker United Kingdom	12	84 0.6×	14 0.1×	102 1.0×	66 1.2×	258 5.9×	47	487
Hyeji Kim United States	10	75 0.5×	122 1.1×	138 1.3×	168 2.9×	45 1.0×	35	328
Felipe Llinares-López Switzerland	11	174 1.2×	18 0.2×	102 1.0×	6 0.1×	36 0.8×	14	352
Noah M. Daniels United States	12	240 1.7×	33 0.3×	74 0.7×	39 0.7×	8 0.2×	27	383

Countries citing papers authored by Shanshan Ren

Since Specialization

Citations

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

Fields of papers citing papers by Shanshan Ren

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Ren

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

All Works

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20 of 20 papers shown

Su, Nan, et al.. (2025). Integrated transcriptomic and immune profiling reveals crucial molecular pathways and hub genes associated with postoperative delirium in elderly patients. Frontiers in Medicine. 12. 1580355–1580355.

Liu, Donglai, Jinjun Hu, Dan Zhang, et al.. (2025). Use of the CHM13-T2T genome improves metagenomic analysis by minimizing host DNA contamination. mSystems. 10(10). e0084025–e0084025.

Han, Han, Zhen Huang, Congsheng Xu, et al.. (2024). Functional annotation of the Hippo pathway somatic mutations in human cancers. Nature Communications. 15(1). 10106–10106. 4 indexed citations

Liu, Jun, Xinyu Wang, Yulong Chen, et al.. (2021). Identification, evolution and expression analysis of WRKY gene family in Eucommia ulmoides. Genomics. 113(5). 3294–3309. 32 indexed citations

Ren, Shanshan, et al.. (2021). Finite-time and fixed-time synchronization for a class of memristor-based competitive neural networks with different time scales. Chaos Solitons & Fractals. 148. 111033–111033. 40 indexed citations

Ren, Shanshan, et al.. (2021). Synchronization for a class of complex-valued memristor-based competitive neural networks(CMCNNs) with different time scales. Electronic Research Archive. 29(5). 3323–3340. 4 indexed citations

Liu, Jun, Yaosong Wu, Yan Liu, et al.. (2020). Advances on the Structural Characteristics and Function of Dof Gene in Plant. 36(10). 180. 1 indexed citations

Ren, Shanshan, et al.. (2020). Anti-synchronization of a Class Of Fuzzy Memristive Competitive Neural Networks with Different Time Scales. Neural Processing Letters. 52(1). 647–661. 13 indexed citations

Ren, Shanshan, et al.. (2020). Synchronization of coupled memristive competitive BAM neural networks with different time scales. Neurocomputing. 427. 110–117. 38 indexed citations

10.

Ahmed, Nauman, et al.. (2019). GASAL2: a GPU accelerated sequence alignment library for high-throughput NGS data. BMC Bioinformatics. 20(1). 520–520. 49 indexed citations

11.

Ren, Shanshan, et al.. (2019). GPU accelerated sequence alignment with traceback for GATK HaplotypeCaller. BMC Genomics. 20(S2). 184–184. 17 indexed citations

12.

Zhao, Yong, Shanshan Ren, & Jürgen Kurths. (2019). Novel criteria of ISS analysis for delayed memristive BAM neural networks. The European Physical Journal Special Topics. 228(10). 2111–2122. 7 indexed citations

13.

Ren, Shanshan, et al.. (2018). An Efficient GPU-Based de Bruijn Graph Construction Algorithm for Micro-Assembly. Data Archiving and Networked Services (DANS). 67–72. 4 indexed citations

14.

Ren, Shanshan, Koen Bertels, & Zaid Al-Ars. (2018). Efficient Acceleration of the Pair-HMMs Forward Algorithm for GATK HaplotypeCaller on Graphics Processing Units. Evolutionary Bioinformatics. 14. 1610506847–1610506847. 35 indexed citations

15.

Ren, Shanshan, Koen Bertels, & Zaid Al-Ars. (2017). GPU-Accelerated GATK HaplotypeCaller with Load-Balanced Multi-Process Optimization. 497–502. 5 indexed citations

16.

Ren, Shanshan, Bo Liu, Lijia Zhang, et al.. (2017). A random filtering mapping method for PAPR reduction based on generalized frequency division multiplexing. 9. 1–3. 3 indexed citations

17.

Ren, Shanshan, et al.. (2016). Maximizing systolic array efficiency to accelerate the PairHMM Forward Algorithm. 758–762. 14 indexed citations

18.

Ren, Shanshan, et al.. (2016). Exploration of alternative GPU implementations of the pair-HMMs forward algorithm. Research Repository (Delft University of Technology). 902–909. 9 indexed citations

19.

Ren, Shanshan, Vlad-Mihai Sima, & Zaid Al-Ars. (2015). FPGA acceleration of the pair-HMMs forward algorithm for DNA sequence analysis. 38. 1465–1470. 16 indexed citations

20.

Huang, Xiaolei, Jinggong Xiangyu, Shanshan Ren, et al.. (2012). Molecular phylogeny and divergence times of Hormaphidinae (Hemiptera: Aphididae) indicate Late Cretaceous tribal diversification. Zoological Journal of the Linnean Society. 165(1). 73–87. 24 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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