Peng Su

794 total citations
27 papers, 491 citations indexed

About

Peng Su is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Peng Su has authored 27 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Cellular and Molecular Neuroscience and 5 papers in Cell Biology. Recurrent topics in Peng Su's work include Nerve injury and regeneration (6 papers), Herpesvirus Infections and Treatments (4 papers) and Plant Gene Expression Analysis (2 papers). Peng Su is often cited by papers focused on Nerve injury and regeneration (6 papers), Herpesvirus Infections and Treatments (4 papers) and Plant Gene Expression Analysis (2 papers). Peng Su collaborates with scholars based in China, United Kingdom and United States. Peng Su's co-authors include Cheng Sun, Xiaosong Gu, Yumin Yang, Yahong Zhao, Yongjun Wang, Yaling Wang, Changmei Niu, Xuejun Ni, Jinyu Ma and Fuqiang Xu and has published in prestigious journals such as Nature Biotechnology, Biomaterials and NeuroImage.

In The Last Decade

Peng Su

26 papers receiving 490 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Peng Su China	13	188	172	79	55	55	27	491
Yichen Li United States	15	167 0.9×	366 2.1×	23 0.3×	44 0.8×	84 1.5×	24	610
Federica Rey Italy	15	98 0.5×	314 1.8×	42 0.5×	107 1.9×	105 1.9×	42	648
Damián Hernández Australia	20	151 0.8×	515 3.0×	52 0.7×	73 1.3×	164 3.0×	34	851
Sayed Mostafa Modarres Mousavi Iran	12	138 0.7×	147 0.9×	72 0.9×	39 0.7×	64 1.2×	25	437
Zhe Pei United States	15	177 0.9×	309 1.8×	16 0.2×	71 1.3×	67 1.2×	37	574
Ai Fang China	12	127 0.7×	526 3.1×	126 1.6×	46 0.8×	213 3.9×	23	953
Wanlu Du United States	12	228 1.2×	408 2.4×	28 0.4×	106 1.9×	56 1.0×	14	939
Antara Rao United States	9	228 1.2×	245 1.4×	31 0.4×	165 3.0×	111 2.0×	11	594
Ye Tao China	19	201 1.1×	525 3.1×	21 0.3×	72 1.3×	28 0.5×	78	1.0k
Matteo Bordoni Italy	18	115 0.6×	470 2.7×	59 0.7×	140 2.5×	221 4.0×	34	972

Countries citing papers authored by Peng Su

Since Specialization

Citations

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

Fields of papers citing papers by Peng Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Su

This figure shows the co-authorship network connecting the top 25 collaborators of Peng Su. A scholar is included among the top collaborators of Peng Su 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 Peng Su. Peng Su 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

Wang, Li, Anan Li, Sen Jin, et al.. (2025). Anterior olfactory nucleus mediates parallel inter-bulbar pathways in rodents. BMC Biology. 23(1). 271–271.

Su, Peng, et al.. (2024). Establishment of a risk prediction model for residual low back pain in thoracolumbar osteoporotic vertebral compression fractures after percutaneous kyphoplasty. Journal of Orthopaedic Surgery and Research. 19(1). 41–41. 6 indexed citations

Wang, Hao, et al.. (2024). Accuracy Study on Deep Learning-Based CT Image Analysis for Lung Nodule Detection and Classification. Traitement du signal. 41(2). 891–899. 1 indexed citations

Shao, Chen, Peng Su, Jingquan Zhang, et al.. (2022). circFOXK2 promotes the progression of osteoarthritis by regulating the miR-4640-5p/NOTCH2 axis. Modern Rheumatology. 34(2). 422–432. 2 indexed citations

Xu, Lei, et al.. (2022). Identification of Potential Inhibitors of PDE5 based on Structure-basedVirtual Screening Approaches. Current Computer - Aided Drug Design. 19(3). 234–242. 3 indexed citations

Xu, Fang, Yan Shen, Chao‐Yu Yang, et al.. (2021). High-throughput mapping of a whole rhesus monkey brain at micrometer resolution. Nature Biotechnology. 39(12). 1521–1528. 67 indexed citations

Su, Peng, et al.. (2020). High-brightness anterograde transneuronal HSV1 H129 tracer modified using a Trojan horse-like strategy. Molecular Brain. 13(1). 5–5. 17 indexed citations

Li, Zheng, Xiaoling Peng, Peng Su, et al.. (2020). Spinal heat shock protein 27 participates in PDGFRβ‐mediated morphine tolerance through PI3K/Akt and p38 MAPK signalling pathways. British Journal of Pharmacology. 177(22). 5046–5062. 12 indexed citations

Zheng, Ning, Peng Su, Yue Liu, et al.. (2019). Detection of neural connections with ex vivo MRI using a ferritin-encoding trans-synaptic virus. NeuroImage. 197. 133–142. 14 indexed citations

10.

Su, Peng, Huadong Wang, Liang Hu, et al.. (2019). Evaluation of retrograde labeling profiles of HSV1 H129 anterograde tracer. Journal of Chemical Neuroanatomy. 100. 101662–101662. 14 indexed citations

11.

Sun, Cheng, Peng Su, Li Xu, Jinyu Ma, & Xiaosong Gu. (2018). Achyranthes bidentata polypeptide protects dopaminergic neurons from apoptosis induced by rotenone and 6-hydroxydopamine. Neural Regeneration Research. 13(11). 1981–1981. 7 indexed citations

12.

Li, Jian, Peng Su, Peng Zhang, et al.. (2018). In vitro biocompatibility study of a water-rinsed biomimetic silk porous scaffold with olfactory ensheathing cells. International Journal of Biological Macromolecules. 125. 526–533. 12 indexed citations

13.

Liu, Dai-Qiang, Ya‐Qun Zhou, Yawen Peng, et al.. (2018). Endoplasmic Reticulum Stress in Spinal Cord Contributes to the Development of Morphine Tolerance. Frontiers in Molecular Neuroscience. 11. 72–72. 29 indexed citations

14.

Peng, Yawen, Bin Shu, Dai-Qiang Liu, et al.. (2017). Spinal CX3CL1/CX3CR1 May Not Directly Participate in the Development of Morphine Tolerance in Rats. Neurochemical Research. 42(11). 3254–3267. 7 indexed citations

15.

Zhao, Yahong, Yongjun Wang, Changmei Niu, et al.. (2017). Chitosan degradation products facilitate peripheral nerve regeneration by improving macrophage-constructed microenvironments. Biomaterials. 134. 64–77. 133 indexed citations

16.

Liu, Xiaoyu, Yahong Zhao, Peng Su, et al.. (2016). BMP7 retards peripheral myelination by activating p38 MAPK in Schwann cells. Scientific Reports. 6(1). 31049–31049. 23 indexed citations

17.

Liu, Xiaoyu, Peng Su, Yahong Zhao, et al.. (2016). AMPK Negatively Regulates Peripheral Myelination via Activation of c-Jun. Molecular Neurobiology. 54(5). 3554–3564. 16 indexed citations

18.

Su, Peng, et al.. (2016). Research progress of the structure and function of NF-κB and IκB in different animal groups.. PubMed. 38(6). 523–531. 3 indexed citations

19.

Wang, Meihong, Xiaoyu Liu, Peng Su, et al.. (2015). Cystatin C attenuates insulin signaling transduction by promoting endoplasmic reticulum stress in hepatocytes. FEBS Letters. 589(24PartB). 3938–3944. 7 indexed citations

20.

Su, Peng, et al.. (2015). Enhancing taxane biosynthesis in cell suspension culture of Taxus chinensis by overexpressing the neutral/alkaline invertase gene. Process Biochemistry. 50(4). 651–660. 13 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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