Shengna Han

59 total papers · 968 total citations
46 papers, 688 citations indexed

About

Shengna Han is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Cancer Research. According to data from OpenAlex, Shengna Han has authored 46 papers receiving a total of 688 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Biology, 12 papers in Cardiology and Cardiovascular Medicine and 12 papers in Cancer Research. Recurrent topics in Shengna Han's work include RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (9 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Shengna Han is often cited by papers focused on RNA modifications and cancer (11 papers), Cancer-related molecular mechanisms research (9 papers) and Cardiac electrophysiology and arrhythmias (8 papers). Shengna Han collaborates with scholars based in China, United States and Pakistan. Shengna Han's co-authors include Lirong Zhang, Jianjian Yin, Shuhui Wang, Jianzeng Dong, Ming‐Xi Zang, Shuang Yu, Wei-Hong Yang, Yanyan Duan, Xiao‐bo Zhong and Shuhui Wang and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, Journal of Medicinal Chemistry and Carbohydrate Polymers.

In The Last Decade

Shengna Han

43 papers receiving 676 citations

Author Peers

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

Author Last Decade Papers Cites
Shengna Han 456 175 169 62 58 46 688
Jiaming Ju 413 0.9× 117 0.7× 259 1.5× 60 1.0× 43 0.7× 28 705
Vivian Nogueira Silbiger 315 0.7× 117 0.7× 170 1.0× 102 1.6× 47 0.8× 57 700
Yan He 384 0.8× 159 0.9× 131 0.8× 71 1.1× 74 1.3× 41 722
Xiaoyu Ren 379 0.8× 89 0.5× 182 1.1× 51 0.8× 80 1.4× 42 766
Xuhong Song 435 1.0× 74 0.4× 210 1.2× 66 1.1× 68 1.2× 37 730
Peiwei Wang 474 1.0× 96 0.5× 198 1.2× 87 1.4× 48 0.8× 36 741
Xiaohu Chen 424 0.9× 113 0.6× 137 0.8× 83 1.3× 63 1.1× 47 787
Ruijuan Wang 293 0.6× 99 0.6× 160 0.9× 53 0.9× 70 1.2× 43 688
Man Xu 348 0.8× 165 0.9× 103 0.6× 53 0.9× 62 1.1× 29 704
Yi Xu 251 0.6× 68 0.4× 116 0.7× 54 0.9× 63 1.1× 31 605

Countries citing papers authored by Shengna Han

Since Specialization
Citations

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

Fields of papers citing papers by Shengna Han

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengna Han

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