Yapeng Gu

13 total papers · 585 total citations
6 papers, 350 citations indexed

About

Yapeng Gu is a scholar working on Molecular Biology, Cell Biology and Physiology. According to data from OpenAlex, Yapeng Gu has authored 6 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cell Biology and 2 papers in Physiology. Recurrent topics in Yapeng Gu's work include Erythrocyte Function and Pathophysiology (2 papers), Cellular transport and secretion (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). Yapeng Gu is often cited by papers focused on Erythrocyte Function and Pathophysiology (2 papers), Cellular transport and secretion (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). Yapeng Gu collaborates with scholars based in United States and China. Yapeng Gu's co-authors include Jody Rosenblatt, Roger A. Sabbadini, Gloria Slattum, Peter E. Jensen, Xinjian Chen, Huiping Song, Sean J. Mulvihill, Jill Shea, Qingjie Li and Weimin Zeng and has published in prestigious journals such as The Journal of Cell Biology, The Journal of Immunology and Current Biology.

In The Last Decade

Yapeng Gu

6 papers receiving 347 citations

Author Peers

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

Author Last Decade Papers Cites
Yapeng Gu 181 155 82 48 45 6 350
Gloria Slattum 226 1.2× 190 1.2× 66 0.8× 79 1.6× 44 1.0× 6 390
Stefano Piccolo 177 1.0× 179 1.2× 61 0.7× 38 0.8× 24 0.5× 4 318
Laura Parente 98 0.5× 177 1.1× 50 0.6× 22 0.5× 50 1.1× 9 325
Jeffrey Finklestein 114 0.6× 232 1.5× 36 0.4× 36 0.8× 49 1.1× 9 375
Pei Zhi Cheryl Chia 206 1.1× 238 1.5× 46 0.6× 46 1.0× 105 2.3× 11 375
Mark Jelcic 116 0.6× 192 1.2× 70 0.9× 33 0.7× 34 0.8× 9 325
Angela Oppelt 172 1.0× 191 1.2× 35 0.4× 51 1.1× 29 0.6× 6 358
Tsutomu Fujito 119 0.7× 247 1.6× 113 1.4× 62 1.3× 19 0.4× 6 393
Paola Luzzi 121 0.7× 222 1.4× 59 0.7× 94 2.0× 34 0.8× 7 396
Karine Regazzoni 61 0.3× 209 1.3× 75 0.9× 79 1.6× 32 0.7× 8 372

Countries citing papers authored by Yapeng Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yapeng Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yapeng Gu

This figure shows the co-authorship network connecting the top 25 collaborators of Yapeng Gu. A scholar is included among the top collaborators of Yapeng Gu 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 Yapeng Gu. Yapeng Gu 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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2026