Yaping Gu

12 total papers · 441 total citations
4 papers, 380 citations indexed

About

Yaping Gu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Yaping Gu has authored 4 papers receiving a total of 380 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Endocrinology, Diabetes and Metabolism and 1 paper in Cardiology and Cardiovascular Medicine. Recurrent topics in Yaping Gu's work include Cell death mechanisms and regulation (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Chemotherapy-induced cardiotoxicity and mitigation (1 paper). Yaping Gu is often cited by papers focused on Cell death mechanisms and regulation (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Chemotherapy-induced cardiotoxicity and mitigation (1 paper). Yaping Gu collaborates with scholars based in Japan, United States and China. Yaping Gu's co-authors include Ryuichi Aikawa, Issei Komuro, Weidong Zhu, Ryozo Nagai, Tomoichiro Asano, Masao Nawano, Hideki Katagiri, Hiroki Uozumi, Sumiyo Kudoh and Doubun Hayashi and has published in prestigious journals such as Circulation, Molecular and Cellular Biochemistry and Diabetes/Metabolism Research and Reviews.

In The Last Decade

Yaping Gu

4 papers receiving 365 citations

Author Peers

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

Author						Papers	Cites
Yaping Gu	202	157	76	48	47	4	380
Joon Win Tan	187 0.9×	225 1.4×	50 0.7×	34 0.7×	39 0.8×	5	394
Baosheng Li	258 1.3×	202 1.3×	114 1.5×	53 1.1×	33 0.7×	5	444
Antonio Bai	132 0.7×	116 0.7×	48 0.6×	54 1.1×	60 1.3×	7	433
Gianluca Gitti	115 0.6×	94 0.6×	121 1.6×	34 0.7×	47 1.0×	6	390
Sayaka Mito	135 0.7×	138 0.9×	36 0.5×	34 0.7×	43 0.9×	8	341
Mikin Patel	252 1.2×	78 0.5×	39 0.5×	27 0.6×	36 0.8×	5	346
Shinsaku Matsunaga	196 1.0×	67 0.4×	44 0.6×	40 0.8×	41 0.9×	8	381
Lamis Hammoud	182 0.9×	132 0.8×	49 0.6×	42 0.9×	78 1.7×	9	335
Anthony Maltagliati	224 1.1×	84 0.5×	45 0.6×	23 0.5×	59 1.3×	6	404
Nikoo Alavi	221 1.1×	100 0.6×	35 0.5×	27 0.6×	29 0.6×	7	439

Countries citing papers authored by Yaping Gu

Since Specialization

Citations

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

Fields of papers citing papers by Yaping Gu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yaping Gu

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