Pengyu Pan

43 total papers · 673 total citations
33 papers, 492 citations indexed

About

Pengyu Pan is a scholar working on Molecular Biology, Neurology and Neurology. According to data from OpenAlex, Pengyu Pan has authored 33 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 13 papers in Neurology and 8 papers in Neurology. Recurrent topics in Pengyu Pan's work include Intracerebral and Subarachnoid Hemorrhage Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Intracranial Aneurysms: Treatment and Complications (6 papers). Pengyu Pan is often cited by papers focused on Intracerebral and Subarachnoid Hemorrhage Research (8 papers), Neuroinflammation and Neurodegeneration Mechanisms (6 papers) and Intracranial Aneurysms: Treatment and Complications (6 papers). Pengyu Pan collaborates with scholars based in China, United States and Australia. Pengyu Pan's co-authors include Hua Feng, Yujie Chen, Hengli Zhao, Jie Qu, Xin Liu, Guobiao Liang, Shilun Zuo, Yang Yang, Weixiang Chen and Jiantao Shi and has published in prestigious journals such as PLoS ONE, Journal of Colloid and Interface Science and Journal of Ethnopharmacology.

In The Last Decade

Pengyu Pan

28 papers receiving 486 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Pengyu Pan	212	174	104	83	50	33	492
Chongjie Cheng	244 1.2×	138 0.8×	67 0.6×	117 1.4×	32 0.6×	21	487
Yonglin Zhao	199 0.9×	88 0.5×	120 1.2×	58 0.7×	53 1.1×	37	518
Pınar Eser Ocak	146 0.7×	171 1.0×	99 1.0×	48 0.6×	34 0.7×	50	467
Jie Zu	237 1.1×	116 0.7×	171 1.6×	44 0.5×	73 1.5×	33	535
Mitsuo Yamaguchi	140 0.7×	312 1.8×	85 0.8×	40 0.5×	24 0.5×	21	551
Zhaoyou Meng	206 1.0×	111 0.6×	147 1.4×	57 0.7×	75 1.5×	28	488
Weibin Lin	228 1.1×	82 0.5×	91 0.9×	57 0.7×	56 1.1×	24	549
Weifeng Wan	183 0.9×	143 0.8×	67 0.6×	73 0.9×	41 0.8×	23	414
Gaoyu Cui	159 0.8×	112 0.6×	52 0.5×	40 0.5×	24 0.5×	19	484
Lindsey D. Goodman	241 1.1×	117 0.7×	38 0.4×	40 0.5×	24 0.5×	24	444

Countries citing papers authored by Pengyu Pan

Since Specialization

Citations

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

Fields of papers citing papers by Pengyu Pan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyu Pan

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