Shengnan Liu

260 total papers · 5.1k total citations
179 papers, 3.8k citations indexed

About

Shengnan Liu is a scholar working on Molecular Biology, Cancer Research and Plant Science. According to data from OpenAlex, Shengnan Liu has authored 179 papers receiving a total of 3.8k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Molecular Biology, 25 papers in Cancer Research and 18 papers in Plant Science. Recurrent topics in Shengnan Liu's work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (9 papers). Shengnan Liu is often cited by papers focused on Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers) and RNA modifications and cancer (9 papers). Shengnan Liu collaborates with scholars based in China, United States and United Kingdom. Shengnan Liu's co-authors include Jingbo Pi, Qiang Zhang, Qisen Xiang, Yunfang Ma, Yanhong Bai, Sichun Zhang, Lihua Shen, Hongni Wang, Xinrong Zhang and Chengxiao Zhang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Shengnan Liu

171 papers receiving 3.8k citations

Hit Papers

Signal amplification in t... 2022 2026 2023 2024 2022 50 100 150 200 250

Author Peers

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

Author Last Decade Papers Cites
Shengnan Liu 1.5k 503 471 425 402 179 3.8k
Jianyong Li 2.0k 1.3× 434 0.9× 443 0.9× 494 1.2× 262 0.7× 197 4.4k
Xiaomeng Li 2.0k 1.3× 603 1.2× 475 1.0× 586 1.4× 303 0.8× 253 4.8k
Yanxin Li 2.1k 1.4× 496 1.0× 325 0.7× 274 0.6× 241 0.6× 173 3.7k
Sheng Yao 1.9k 1.2× 525 1.0× 335 0.7× 515 1.2× 258 0.6× 202 6.8k
Min Jia 1.8k 1.2× 327 0.7× 344 0.7× 191 0.4× 444 1.1× 135 4.3k
Li Sui 1.4k 0.9× 323 0.6× 362 0.8× 367 0.9× 172 0.4× 185 3.9k
Dong Hee Kim 2.2k 1.5× 297 0.6× 504 1.1× 456 1.1× 219 0.5× 286 5.2k
Michal Masařík 2.5k 1.7× 776 1.5× 314 0.7× 518 1.2× 736 1.8× 175 6.0k
Pengcheng Wang 1.7k 1.1× 525 1.0× 240 0.5× 291 0.7× 261 0.6× 173 3.3k
Xue Chen 2.1k 1.4× 414 0.8× 561 1.2× 343 0.8× 366 0.9× 323 6.0k

Countries citing papers authored by Shengnan Liu

Since Specialization
Citations

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

Fields of papers citing papers by Shengnan Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengnan Liu

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