Shengkai Huang

57 total papers · 1000 total citations
32 papers, 749 citations indexed

About

Shengkai Huang is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Shengkai Huang has authored 32 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Cancer Research and 9 papers in Oncology. Recurrent topics in Shengkai Huang's work include Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (7 papers) and Circular RNAs in diseases (6 papers). Shengkai Huang is often cited by papers focused on Cancer-related molecular mechanisms research (12 papers), RNA modifications and cancer (7 papers) and Circular RNAs in diseases (6 papers). Shengkai Huang collaborates with scholars based in China, Taiwan and United States. Shengkai Huang's co-authors include Changzhi Huang, Mei Zhao, Yuyu Gu, Jia Wang, Hua Peng, Yi‐Qun Che, Mei Yang, Hong Lin, Yan Li and Jialing Zhong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Shengkai Huang

31 papers receiving 738 citations

Author Peers

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

Author Last Decade Papers Cites
Shengkai Huang 520 462 95 63 56 32 749
Guixiang Lv 510 1.0× 430 0.9× 61 0.6× 80 1.3× 77 1.4× 25 797
Miao Yu 551 1.1× 530 1.1× 89 0.9× 38 0.6× 173 3.1× 23 745
Hui Wang 706 1.4× 594 1.3× 133 1.4× 67 1.1× 50 0.9× 32 871
Sufang Wu 478 0.9× 321 0.7× 102 1.1× 69 1.1× 82 1.5× 39 712
Shuai Xiao 498 1.0× 334 0.7× 125 1.3× 34 0.5× 89 1.6× 37 668
Sercan Ergün 443 0.9× 412 0.9× 40 0.4× 33 0.5× 35 0.6× 43 640
Le Tao 500 1.0× 349 0.8× 87 0.9× 104 1.7× 78 1.4× 31 825
Binhui Ren 565 1.1× 392 0.8× 150 1.6× 32 0.5× 128 2.3× 32 842
Mohammed Abba 543 1.0× 450 1.0× 165 1.7× 33 0.5× 73 1.3× 35 787
Huei‐Han Liou 522 1.0× 292 0.6× 186 2.0× 52 0.8× 99 1.8× 37 807

Countries citing papers authored by Shengkai Huang

Since Specialization
Citations

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

Fields of papers citing papers by Shengkai Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengkai Huang

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