Shengjie Wu

282 total papers · 13.2k total citations
197 papers, 8.2k citations indexed

About

Shengjie Wu is a scholar working on Genetics, Cardiology and Cardiovascular Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Shengjie Wu has authored 197 papers receiving a total of 8.2k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Genetics, 44 papers in Cardiology and Cardiovascular Medicine and 39 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Shengjie Wu's work include Glioma Diagnosis and Treatment (67 papers), Cardiac pacing and defibrillation studies (34 papers) and Cardiac Arrhythmias and Treatments (32 papers). Shengjie Wu is often cited by papers focused on Glioma Diagnosis and Treatment (67 papers), Cardiac pacing and defibrillation studies (34 papers) and Cardiac Arrhythmias and Treatments (32 papers). Shengjie Wu collaborates with scholars based in United States, China and United Kingdom. Shengjie Wu's co-authors include Weijian Huang, Lan Su, Xiaoping Xiong, Thomas E. Merchant, Lei Xu, Heather M. Conklin, Kenneth A. Ellenbogen, Pugazhendhi Vijayaraman, Fangyi Xiao and Xueying Chen and has published in prestigious journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Shengjie Wu

192 papers receiving 8.1k citations

Hit Papers

A Novel Pacing Strategy W... 2017 2026 2020 2023 2017 2019 2021 2021 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
Shengjie Wu 2.9k 2.1k 1.5k 1.4k 1.4k 197 8.2k
L. Solymosi 965 0.3× 671 0.3× 2.0k 1.4× 446 0.3× 2.9k 2.1× 179 6.7k
John J. Kelly 826 0.3× 1.1k 0.5× 926 0.6× 254 0.2× 1.9k 1.4× 225 8.5k
Kenneth R. Maravilla 860 0.3× 378 0.2× 1.5k 1.0× 594 0.4× 1.1k 0.8× 169 9.3k
Virginia V. Michels 2.2k 0.8× 365 0.2× 915 0.6× 448 0.3× 1.2k 0.8× 148 9.1k
Hajime Handa 578 0.2× 786 0.4× 1.2k 0.8× 397 0.3× 3.2k 2.3× 371 6.8k
Maurizio Ferrari 604 0.2× 1.0k 0.5× 776 0.5× 986 0.7× 653 0.5× 289 8.7k
Marc R. Mayberg 1.9k 0.7× 552 0.3× 3.8k 2.6× 445 0.3× 6.2k 4.5× 181 12.8k
Takamasa Kayama 484 0.2× 1.1k 0.6× 1.4k 0.9× 230 0.2× 1.7k 1.2× 343 7.7k
Hiroshi Arai 3.4k 1.2× 365 0.2× 1.3k 0.9× 410 0.3× 430 0.3× 226 9.2k
Issam A. Awad 836 0.3× 724 0.4× 1.7k 1.2× 744 0.5× 11.4k 8.2× 298 16.2k

Countries citing papers authored by Shengjie Wu

Since Specialization
Citations

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

Fields of papers citing papers by Shengjie Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengjie Wu

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