Gengshu Wu

26 total papers · 848 total citations
21 papers, 671 citations indexed

About

Gengshu Wu is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Gengshu Wu has authored 21 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 11 papers in Endocrinology, Diabetes and Metabolism and 9 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Gengshu Wu's work include Lipid metabolism and disorders (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Gengshu Wu is often cited by papers focused on Lipid metabolism and disorders (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Growth Hormone and Insulin-like Growth Factors (4 papers). Gengshu Wu collaborates with scholars based in Canada, Sweden and United States. Gengshu Wu's co-authors include Dennis E. Vance, Thomas Olivecrona, Gunilla Olivecrona, Stephen G. Young, Chieko Aoyama, Aivar Lõokene, Liyan Zhang, Toralph Ruge, Martin O. Bergö and Roger B. Sher and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and The FASEB Journal.

In The Last Decade

Gengshu Wu

21 papers receiving 657 citations

Author Peers

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

Author						Papers	Cites
Gengshu Wu	315	201	188	92	87	21	671
Jon Vincelette	204 0.6×	227 1.1×	128 0.7×	83 0.9×	134 1.5×	24	772
Willem C. Hülsmann	293 0.9×	106 0.5×	130 0.7×	127 1.4×	108 1.2×	27	597
J C Monge	260 0.8×	181 0.9×	133 0.7×	221 2.4×	71 0.8×	17	750
Karin Kohlstedt	317 1.0×	332 1.7×	172 0.9×	138 1.5×	56 0.6×	21	775
Enza Di Leo	159 0.5×	286 1.4×	218 1.2×	81 0.9×	45 0.5×	21	641
A Sjöberg	257 0.8×	157 0.8×	240 1.3×	62 0.7×	104 1.2×	11	571
Valentina Sukonina	242 0.8×	434 2.2×	296 1.6×	151 1.6×	56 0.6×	14	744
M. Perenna Rogers	311 1.0×	110 0.5×	125 0.7×	90 1.0×	61 0.7×	29	607
Scott W. Stoker	424 1.3×	187 0.9×	107 0.6×	119 1.3×	37 0.4×	20	728
Eddy S. Konaniah	272 0.9×	151 0.8×	115 0.6×	111 1.2×	22 0.3×	17	747

Countries citing papers authored by Gengshu Wu

Since Specialization

Citations

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

Fields of papers citing papers by Gengshu Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gengshu Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Gengshu Wu. A scholar is included among the top collaborators of Gengshu Wu 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 Gengshu Wu. Gengshu Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact