Zulong Sheng

29 total papers · 543 total citations
23 papers, 426 citations indexed

About

Zulong Sheng is a scholar working on Molecular Biology, Cancer Research and Pharmacology. According to data from OpenAlex, Zulong Sheng has authored 23 papers receiving a total of 426 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Cancer Research and 6 papers in Pharmacology. Recurrent topics in Zulong Sheng's work include Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Zulong Sheng is often cited by papers focused on Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (5 papers) and Circular RNAs in diseases (4 papers). Zulong Sheng collaborates with scholars based in China and United States. Zulong Sheng's co-authors include Yuyu Yao, Genshan Ma, Genshan Ma, Zhongpu Chen, Gaoliang Yan, Yefei Li, Yefei Li, Lijuan Chen, Zhi Zuo and Long Chen and has published in prestigious journals such as PLoS ONE, Biochemical and Biophysical Research Communications and Life Sciences.

In The Last Decade

Zulong Sheng

22 papers receiving 424 citations

Author Peers

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

Author Last Decade Papers Cites
Zulong Sheng 209 100 96 86 76 23 426
Rajika Roy 315 1.5× 86 0.9× 120 1.3× 150 1.7× 40 0.5× 29 484
Takanori Kusuyama 141 0.7× 93 0.9× 110 1.1× 108 1.3× 46 0.6× 20 405
Kun Lü 239 1.1× 104 1.0× 100 1.0× 97 1.1× 44 0.6× 36 482
Yaping Wang 227 1.1× 111 1.1× 49 0.5× 81 0.9× 60 0.8× 12 420
Jiateng Sun 227 1.1× 59 0.6× 101 1.1× 66 0.8× 66 0.9× 32 432
Lauren Haar 287 1.4× 126 1.3× 59 0.6× 88 1.0× 26 0.3× 21 488
K. Fukino 206 1.0× 79 0.8× 68 0.7× 62 0.7× 37 0.5× 13 387
Feng Cao 231 1.1× 90 0.9× 71 0.7× 115 1.3× 59 0.8× 14 416
Takatoshi Sato 135 0.6× 59 0.6× 156 1.6× 98 1.1× 93 1.2× 17 382
Timo Z. Nazari‐Shafti 163 0.8× 64 0.6× 110 1.1× 72 0.8× 62 0.8× 31 414

Countries citing papers authored by Zulong Sheng

Since Specialization
Citations

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

Fields of papers citing papers by Zulong Sheng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zulong Sheng

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