Gele Liu

10 total papers · 422 total citations
8 papers, 330 citations indexed

About

Gele Liu is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Gele Liu has authored 8 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Cardiology and Cardiovascular Medicine and 2 papers in Hematology. Recurrent topics in Gele Liu's work include Sphingolipid Metabolism and Signaling (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Platelet Disorders and Treatments (2 papers). Gele Liu is often cited by papers focused on Sphingolipid Metabolism and Signaling (5 papers), Protein Kinase Regulation and GTPase Signaling (2 papers) and Platelet Disorders and Treatments (2 papers). Gele Liu collaborates with scholars based in Canada, France and United States. Gele Liu's co-authors include Leonard P. Kleine, Richard Hébert, Khanh Lam, Robert Lemery, Michael H. Gollob, Andrew D. Krahn, David Birnie, Bruce J. Nicholson, Ji Xu and Douglas L. Jones and has published in prestigious journals such as Journal of Biological Chemistry, Circulation and Biochemical and Biophysical Research Communications.

In The Last Decade

Gele Liu

8 papers receiving 328 citations

Author Peers

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

Author Last Decade Papers Cites
Gele Liu 227 178 32 27 16 8 330
Sandhya Sanghi 149 0.7× 131 0.7× 37 1.2× 22 0.8× 22 1.4× 8 326
Annapia Vitacolonna 176 0.8× 99 0.6× 44 1.4× 41 1.5× 23 1.4× 8 333
Zoraida Diaz-Perez 204 0.9× 151 0.8× 14 0.4× 25 0.9× 16 1.0× 10 316
Jana Reinemund 204 0.9× 248 1.4× 14 0.4× 29 1.1× 12 0.8× 6 348
Kazuhiko Nishigaki 125 0.6× 208 1.2× 99 3.1× 32 1.2× 11 0.7× 8 339
Nicolas Duquesnes 235 1.0× 103 0.6× 31 1.0× 22 0.8× 26 1.6× 10 322
Stephen L. Belmonte 260 1.1× 171 1.0× 35 1.1× 72 2.7× 24 1.5× 8 359
Shijun Huang 150 0.7× 178 1.0× 34 1.1× 26 1.0× 13 0.8× 12 337
Hannah M. Campbell 211 0.9× 222 1.2× 20 0.6× 43 1.6× 15 0.9× 11 340
Praveen Tamirisa 196 0.9× 187 1.1× 73 2.3× 14 0.5× 21 1.3× 7 337

Countries citing papers authored by Gele Liu

Since Specialization
Citations

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

Fields of papers citing papers by Gele Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gele Liu

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