Su Pan

1.6k total citations · 1 hit paper
28 papers, 1.2k citations indexed

About

Su Pan is a scholar working on Biomedical Engineering, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Su Pan has authored 28 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 8 papers in Cellular and Molecular Neuroscience and 7 papers in Biomaterials. Recurrent topics in Su Pan's work include Nerve injury and regeneration (8 papers), Graphene and Nanomaterials Applications (6 papers) and Bone Tissue Engineering Materials (5 papers). Su Pan is often cited by papers focused on Nerve injury and regeneration (8 papers), Graphene and Nanomaterials Applications (6 papers) and Bone Tissue Engineering Materials (5 papers). Su Pan collaborates with scholars based in China, United States and United Kingdom. Su Pan's co-authors include Jianfei Qian, Qiang Wang, Qing Yi, Matthew F. Kalady, Maojie Yang, Dale J. Hamilton, Enguang Bi, Chunjian Huang, Lintao Liu and Yong Lu and has published in prestigious journals such as PLoS ONE, Cell Metabolism and Scientific Reports.

In The Last Decade

Su Pan

24 papers receiving 1.2k 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.

Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironment

2019 697 citations Xingzhe Ma, Enguang Bi et al. Cell Metabolism profile →

Peers

Countries citing papers authored by Su Pan

Since Specialization

Citations

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

Fields of papers citing papers by Su Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Su Pan

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

#	Work	Indexed citations
1	Advancing Spinal Cord Injury Repair: The Role of Conductive Hydrogels in Neurotissue Engineering 2025 ·International Journal of Nanomedicine ·Haiming Du, Jie Zhao, Jintao Wang, Xiaoyu Yang, Su Pan	1
2	Magnesium and nerve injury: Mechanisms and applications 2025 ·Neural Regeneration Research ·Hongye Yan, Su Pan, (unknown), Weijian Kong, Zhiping Qi	0
3	Conductive hydrogel combined with electrical stimulation remodels the microenvironment for nerve regeneration to promote spinal cord injury repair 2025 ·Journal of Nanobiotechnology ·(unknown), Xinting Yang, (unknown), Jie Zhao, (unknown), Jintao Wang, Andrew K. Whittaker, Donghong Yu, Xiaoyu Yang, Quan Lin, Su Pan	0
4	PaeNet: parallel attention enhancement network for ophthalmic image segmentation 2025 ·International Journal of Machine Learning and Cybernetics ·(unknown), Su Pan, (unknown), (unknown), (unknown), Tianhua Chen, Yitian Zhao	0
5	Unsupervised domain adaptation via feature transfer learning based on elastic embedding 2024 ·International Journal of Machine Learning and Cybernetics ·(unknown), Bin Lu, (unknown), Su Pan	0
6	Injectable Hydrogel Loaded with CDs and FTY720 Combined with Neural Stem Cells for the Treatment of Spinal Cord Injury 2024 ·International Journal of Nanomedicine ·Zhiping Qi, Su Pan, Xiaoyu Yang, (unknown), (unknown), Hongye Yan, (unknown), Weijian Kong	10
7	Hippo pathway inhibition promotes metabolic adaptability and antioxidant response in myoblasts 2023 ·Scientific Reports ·Qi Liu, Su Pan, Pengyang Li, Richard A. F. Dixon	3
8	Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity 2023 ·Knowledge-Based Systems ·(unknown), Bin Lu, (unknown), Su Pan	15
9	Advances in Conductive Hydrogel for Spinal Cord Injury Repair and Regeneration 2023 ·International Journal of Nanomedicine ·(unknown), Zhiping Qi, Su Pan, Peng Xia, Weijian Kong, Bin Sun, (unknown), (unknown), (unknown), (unknown), Xiaoyu Yang	36
10	Therapeutic angiogenesis and tissue revascularization in ischemic vascular disease 2023 ·Journal of Biological Engineering ·Xinyue Chen, (unknown), Jing Zhang, Xiao Fan, Xiao Liu, (unknown), Su Pan, Richard A. F. Dixon, Pengyang Li, Peng Yu, Ao Shi	21
11	Choroidal layer segmentation in OCT images by a boundary enhancement network 2022 ·Frontiers in Cell and Developmental Biology ·(unknown), Yan Gong, Huaying Hao, Jiong Zhang, Su Pan, (unknown), Yuhui Ma, Yitian Zhao	6
12	Enhanced Cell Proliferation and Osteogenesis Differentiation through a Combined Treatment of Poly-L-Lysine-Coated PLGA/Graphene Oxide Hybrid Fiber Matrices and Electrical Stimulation 2020 ·Journal of Nanomaterials ·Jiaqi Zhu, Zhiping Qi, Changjun Zheng, Pan Xue, Chuan Fu, Su Pan, Xiaoyu Yang	9
13	Theanine-Modified Graphene Oxide Composite Films for Neural Stem Cells Proliferation and Differentiation 2020 ·Journal of Nanomaterials ·Zhiping Qi, Xue Chen, (unknown), Chuan Fu, Su Pan	15
14	Cholesterol Induces CD8+ T Cell Exhaustion in the Tumor Microenvironment breakdown → 2019 ·Cell Metabolism ·Xingzhe Ma, Enguang Bi, Yong Lu, Su Pan, Chunjian Huang, Lintao Liu, Qiang Wang, Maojie Yang, Matthew F. Kalady, Jianfei Qian, Aijun Zhang, Anisha A. Gupte, Dale J. Hamilton, Chengyun Zheng, Qing Yi	697
15	Effect of electrical stimulation combined with graphene-oxide-based membranes on neural stem cell proliferation and differentiation 2019 ·Artificial Cells Nanomedicine and Biotechnology ·Chuan Fu, Su Pan, Yue Ma, Weijian Kong, Zhiping Qi, Xiaoyu Yang	60
16	Combined treatment with electrical stimulation and insulin-like growth factor-1 promotes bone regeneration in vitro 2018 ·PLoS ONE ·Zhiping Qi, Peng Xia, Su Pan, Shuang Zheng, Chuan Fu, Yuxin Chang, Yue Ma, Jincheng Wang, Xiaoyu Yang	39
17	Improving osteogenesis of PLGA/HA porous scaffolds based on dual delivery of BMP-2 and IGF-1viaa polydopamine coating 2017 ·RSC Advances ·Jun Zhang, Jianan Li, Guoliang Jia, (unknown), Qinyi Liu, Xiaoyu Yang, Su Pan	67
18	Psychological capital mediates the association between nurses' practice environment and work engagement among Chinese male nurses 2017 ·International Journal of Nursing Sciences ·Xiaokang Pan, (unknown), Jingping Zhang, Jianjian Wang, Su Pan	31
19	Oxidative phosphorylated neurofilament protein M protects spinal cord against ischemia/reperfusion injury 2014 ·Neural Regeneration Research ·Xiaoyu Yang, (unknown), Haitao Wang, Su Pan, (unknown)	4
20	Predicting the degree of rurality of physician assistant practice location. 1996 ·PubMed ·Su Pan, (unknown), (unknown), Hart Lg	8

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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