Can Liu

93 total papers · 3.5k total citations
65 papers, 2.7k citations indexed

About

Can Liu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology. According to data from OpenAlex, Can Liu has authored 65 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Pulmonary and Respiratory Medicine and 10 papers in Epidemiology. Recurrent topics in Can Liu's work include Ferroptosis and cancer prognosis (7 papers), RNA modifications and cancer (7 papers) and Autophagy in Disease and Therapy (7 papers). Can Liu is often cited by papers focused on Ferroptosis and cancer prognosis (7 papers), RNA modifications and cancer (7 papers) and Autophagy in Disease and Therapy (7 papers). Can Liu collaborates with scholars based in China, United States and Sweden. Can Liu's co-authors include Hai Wang, Ge Gao, Yongxin Zhao, Lei Fan, Lei Zhou, Yan Zou, Qiyou Wang, Xiuxing Chen, Pengfei Guan and Xin Hao and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Biological Chemistry.

In The Last Decade

Can Liu

60 papers receiving 2.7k citations

Hit Papers

Mitochondria regulation i... 2019 2026 2021 2023 2019 2021 2022 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Can Liu 1.3k 751 635 316 304 65 2.7k
Xiaoyue Tan 1.4k 1.1× 466 0.6× 479 0.8× 443 1.4× 332 1.1× 82 3.0k
Huang‐Tian Yang 2.6k 2.0× 1.1k 1.4× 981 1.5× 469 1.5× 260 0.9× 89 4.2k
Francesco Marampon 1.7k 1.3× 598 0.8× 521 0.8× 310 1.0× 232 0.8× 136 3.1k
Jiandong Wang 1.3k 1.0× 419 0.6× 668 1.1× 180 0.6× 517 1.7× 138 3.2k
Qinjie Weng 1.3k 1.0× 284 0.4× 433 0.7× 322 1.0× 228 0.8× 95 3.0k
Xiaomei Yang 2.0k 1.5× 373 0.5× 978 1.5× 207 0.7× 215 0.7× 112 3.6k
Gang Zhao 1.5k 1.1× 631 0.8× 629 1.0× 189 0.6× 265 0.9× 154 3.4k
Kyu Sang Song 1.0k 0.8× 461 0.6× 364 0.6× 118 0.4× 183 0.6× 80 2.4k
Michael J. Mann 2.0k 1.6× 470 0.6× 383 0.6× 275 0.9× 206 0.7× 81 3.8k
Ping Xue 1.0k 0.8× 396 0.5× 685 1.1× 117 0.4× 677 2.2× 51 2.8k

Countries citing papers authored by Can Liu

Since Specialization
Citations

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

Fields of papers citing papers by Can Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Can Liu

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