Sunlei Pan

1.4k total citations · 1 hit paper
14 papers, 595 citations indexed

About

Sunlei Pan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cancer Research. According to data from OpenAlex, Sunlei Pan has authored 14 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Cancer Research. Recurrent topics in Sunlei Pan's work include Cardiovascular Disease and Adiposity (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Adenosine and Purinergic Signaling (2 papers). Sunlei Pan is often cited by papers focused on Cardiovascular Disease and Adiposity (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Adenosine and Purinergic Signaling (2 papers). Sunlei Pan collaborates with scholars based in China and United States. Sunlei Pan's co-authors include Tingjuan Ni, Xingxiao Huang, Zhongqiu Lu, Miao Jing, Yulong Li, Fei Deng, Liping Meng, Hui Lin, Wanling Peng and Min Xu and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and Nature Neuroscience.

In The Last Decade

Sunlei Pan

14 papers receiving 589 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.

A genetically encoded sensor for measuring serotonin dynamics

2021 184 citations Jinxia Wan, Wanling Peng et al. Nature Neuroscience profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sunlei Pan China	11	299	201	95	58	56	14	595
Renee Haskew-Layton United States	14	421 1.4×	173 0.9×	65 0.7×	63 1.1×	16 0.3×	18	760
Miriam Sciaccaluga Italy	17	533 1.8×	293 1.5×	68 0.7×	22 0.4×	37 0.7×	41	878
John H. Stockley United Kingdom	8	259 0.9×	220 1.1×	92 1.0×	51 0.9×	29 0.5×	10	724
Vinata Vedam‐Mai United States	18	441 1.5×	372 1.9×	101 1.1×	20 0.3×	80 1.4×	42	1.2k
Chi‐Jing Choong Japan	17	352 1.2×	166 0.8×	41 0.4×	19 0.3×	26 0.5×	25	816
Carla X. Bittner Chile	8	361 1.2×	278 1.4×	46 0.5×	13 0.2×	34 0.6×	8	684
Geraint J. C. Wilde United Kingdom	11	292 1.0×	307 1.5×	82 0.9×	19 0.3×	24 0.4×	14	743
Ramón Martínez‐Mármol Spain	20	636 2.1×	315 1.6×	45 0.5×	23 0.4×	18 0.3×	39	1.1k
Shen Zhang China	14	354 1.2×	157 0.8×	20 0.2×	121 2.1×	11 0.2×	19	857
Fabian Maass Germany	17	314 1.1×	104 0.5×	131 1.4×	12 0.2×	29 0.5×	34	879

Countries citing papers authored by Sunlei Pan

Since Specialization

Citations

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

Fields of papers citing papers by Sunlei Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sunlei Pan

This figure shows the co-authorship network connecting the top 25 collaborators of Sunlei Pan. A scholar is included among the top collaborators of Sunlei 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 Sunlei Pan. Sunlei 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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14 of 14 papers shown

Wu, Zhaofa, Yuting Cui, Huan Wang, et al.. (2023). Neuronal activity-induced, equilibrative nucleoside transporter-dependent, somatodendritic adenosine release revealed by a GRAB sensor. Proceedings of the National Academy of Sciences. 120(14). e2212387120–e2212387120. 39 indexed citations

Ni, Tingjuan, Xingxiao Huang, Sunlei Pan, & Zhongqiu Lu. (2021). Inhibition of the long non‐coding RNA ZFAS1 attenuates ferroptosis by sponging miR‐150‐5p and activates CCND2 against diabetic cardiomyopathy. Journal of Cellular and Molecular Medicine. 25(21). 9995–10007. 89 indexed citations

Wan, Jinxia, Wanling Peng, Xuelin Li, et al.. (2021). A genetically encoded sensor for measuring serotonin dynamics. Nature Neuroscience. 24(5). 746–752. 184 indexed citations breakdown →

Wu, Zhaofa, Kaikai He, Yue Chen, et al.. (2021). A sensitive GRAB sensor for detecting extracellular ATP in vitro and in vivo. Neuron. 110(5). 770–782.e5. 115 indexed citations

Ni, Tingjuan, Xingxiao Huang, Sunlei Pan, & Zhongqiu Lu. (2021). Dihydrolycorine Attenuates Cardiac Fibrosis and Dysfunction by Downregulating Runx1 following Myocardial Infarction. Oxidative Medicine and Cellular Longevity. 2021(1). 8 indexed citations

Pan, Sunlei, Hui Lin, Feidan Gao, et al.. (2019). The Role of Tauroursodeoxycholic Acid on Dedifferentiation of Vascular Smooth Muscle Cells by Modulation of Endoplasmic Reticulum Stress and as an Oral Drug Inhibiting In-Stent Restenosis. Cardiovascular Drugs and Therapy. 33(1). 25–33. 12 indexed citations

Lin, Hui, Tingjuan Ni, Jie Zhang, et al.. (2018). Knockdown of Herp alleviates hyperhomocysteinemia mediated atherosclerosis through the inhibition of vascular smooth muscle cell phenotype switching. International Journal of Cardiology. 269. 242–249. 30 indexed citations

Pan, Sunlei, Huahua Liu, Feidan Gao, et al.. (2018). Folic acid delays development of atherosclerosis in low‐density lipoprotein receptor‐deficient mice. Journal of Cellular and Molecular Medicine. 22(6). 3183–3191. 20 indexed citations

Lin, Hui, et al.. (2017). The differential diagnostic value of serum homocysteine for white coat hypertension. Oncotarget. 8(60). 101271–101283. 2 indexed citations

10.

Lin, Hui, Sunlei Pan, Liping Meng, et al.. (2017). MicroRNA-384-mediated Herpud1 upregulation promotes angiotensin II-induced endothelial cell apoptosis. Biochemical and Biophysical Research Communications. 488(3). 453–460. 20 indexed citations

11.

Pan, Sunlei, Hui Lin, Feidan Gao, et al.. (2017). [Effects of yellow wine polyphenols on cardiomyocyte apoptosis in diabetic cardiomyopathy rats].. PubMed. 33(5). 431–435. 2 indexed citations

12.

Pan, Sunlei, Hui Lin, Feidan Gao, et al.. (2017). Folic acid inhibits dedifferentiation of PDGF-BB-induced vascular smooth muscle cells by suppressing mTOR/P70S6K signaling.. PubMed. 9(3). 1307–1316. 21 indexed citations

13.

Chi, Jufang, Liping Meng, Sunlei Pan, et al.. (2017). Primary Culture of Rat Aortic Vascular Smooth Muscle Cells: A New Method. Medical Science Monitor. 23. 4014–4020. 28 indexed citations

14.

Meng, Liping, Longbin Liu, Sunlei Pan, et al.. (2016). Polyphenols and Polypeptides in Chinese Rice Wine Inhibit Homocysteine-induced Proliferation and Migration of Vascular Smooth Muscle Cells. Journal of Cardiovascular Pharmacology. 67(6). 482–490. 25 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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