Peng Yu

120 total papers · 908 total citations
67 papers, 544 citations indexed

About

Peng Yu is a scholar working on Neurology, Surgery and Nephrology. According to data from OpenAlex, Peng Yu has authored 67 papers receiving a total of 544 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 13 papers in Surgery and 12 papers in Nephrology. Recurrent topics in Peng Yu's work include Dialysis and Renal Disease Management (7 papers), Autoimmune Neurological Disorders and Treatments (6 papers) and Cardiovascular Function and Risk Factors (5 papers). Peng Yu is often cited by papers focused on Dialysis and Renal Disease Management (7 papers), Autoimmune Neurological Disorders and Treatments (6 papers) and Cardiovascular Function and Risk Factors (5 papers). Peng Yu collaborates with scholars based in China, United States and Hong Kong. Peng Yu's co-authors include Xuefeng Yu, Honghao Wang, James D. Thomas, Jeannie Drinko, Zhihan Wang, Xiaoyu Meng, Zoran Popović, Marc S. Penn, Nikolai A. Sopko and Suyue Pan and has published in prestigious journals such as Energy & Environmental Science, Scientific Reports and Chemical Engineering Journal.

In The Last Decade

Peng Yu

62 papers receiving 533 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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 benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Reviving ether-based electrolytes for sodium-ion batteries

2025 19 citations Fangyuan Cheng, Jun Hu et al. Energy & Environmental Science profile →

Author Peers

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

Author						Papers	Cites
Peng Yu	119	96	90	88	66	67	544
Murat Baykara	87 0.7×	70 0.7×	44 0.5×	116 1.3×	39 0.6×	75	531
Gabriel Granåsen	69 0.6×	169 1.8×	60 0.7×	148 1.7×	47 0.7×	36	581
Dragoş Cătălin Jianu	69 0.6×	149 1.6×	104 1.2×	59 0.7×	53 0.8×	73	592
Grzegorz Kozera	129 1.1×	97 1.0×	224 2.5×	44 0.5×	59 0.9×	59	599
L. V. Brown	169 1.4×	108 1.1×	54 0.6×	59 0.7×	80 1.2×	24	533
Brian Curran	111 0.9×	48 0.5×	80 0.9×	85 1.0×	73 1.1×	50	563
Gabriella Dörnyei	147 1.2×	32 0.3×	33 0.4×	94 1.1×	184 2.8×	37	491
J. Hillman	104 0.9×	267 2.8×	53 0.6×	81 0.9×	60 0.9×	32	543
Tuhin K. Roy	120 1.0×	51 0.5×	25 0.3×	73 0.8×	106 1.6×	30	453
Bei Zhang	40 0.3×	80 0.8×	143 1.6×	22 0.3×	48 0.7×	61	554

Countries citing papers authored by Peng Yu

Since Specialization

Citations

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

Fields of papers citing papers by Peng Yu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peng Yu

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