Pengyu Fu

51 total papers · 512 total citations
24 papers, 358 citations indexed

About

Pengyu Fu is a scholar working on Physiology, Molecular Biology and Rehabilitation. According to data from OpenAlex, Pengyu Fu has authored 24 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physiology, 10 papers in Molecular Biology and 6 papers in Rehabilitation. Recurrent topics in Pengyu Fu's work include Exercise and Physiological Responses (6 papers), Adipose Tissue and Metabolism (6 papers) and Diet and metabolism studies (5 papers). Pengyu Fu is often cited by papers focused on Exercise and Physiological Responses (6 papers), Adipose Tissue and Metabolism (6 papers) and Diet and metabolism studies (5 papers). Pengyu Fu collaborates with scholars based in China, United States and Sweden. Pengyu Fu's co-authors include Jiang He, Paul K. Whelton, Dahai Yu, Dongfeng Gu, Jing Xie, Dongsheng Hu, Shiqiang Liu, Huiyun Xu, Zhen Wang and Dong‐En Wang and has published in prestigious journals such as Journal of the American Chemical Society, Nature Communications and The EMBO Journal.

In The Last Decade

Pengyu Fu

20 papers receiving 355 citations

Author Peers

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

Author						Papers	Cites
Pengyu Fu	134	125	85	80	60	24	358
Won Seon Jeon	157 1.2×	113 0.9×	52 0.6×	127 1.6×	96 1.6×	19	353
Adelina Tsakova	89 0.7×	101 0.8×	68 0.8×	87 1.1×	52 0.9×	39	380
Carla Márcia Moreira Lanna	116 0.9×	89 0.7×	49 0.6×	68 0.8×	77 1.3×	23	378
Rodrigo Martins Pereira	88 0.7×	170 1.4×	74 0.9×	123 1.5×	32 0.5×	29	385
Akimichi Asano	130 1.0×	127 1.0×	64 0.8×	136 1.7×	105 1.8×	18	378
Sofia Tamini	50 0.4×	119 1.0×	105 1.2×	39 0.5×	56 0.9×	30	392
Katarzyna Musialik	84 0.6×	96 0.8×	79 0.9×	57 0.7×	57 0.9×	29	340
Simão Augusto Lottenberg	160 1.2×	97 0.8×	47 0.6×	53 0.7×	56 0.9×	21	389
Majid Mufaqam Syed‐Abdul	105 0.8×	99 0.8×	65 0.8×	165 2.1×	34 0.6×	34	370
Yating Wang	85 0.6×	157 1.3×	51 0.6×	54 0.7×	84 1.4×	15	402

Countries citing papers authored by Pengyu Fu

Since Specialization

Citations

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

Fields of papers citing papers by Pengyu Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengyu Fu

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