Shengfu Piao

60 total papers · 3.6k total citations
15 papers, 2.5k citations indexed

About

Shengfu Piao is a scholar working on Epidemiology, Molecular Biology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shengfu Piao has authored 15 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Epidemiology, 6 papers in Molecular Biology and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shengfu Piao's work include Autophagy in Disease and Therapy (9 papers), PARP inhibition in cancer therapy (2 papers) and Glioma Diagnosis and Treatment (2 papers). Shengfu Piao is often cited by papers focused on Autophagy in Disease and Therapy (9 papers), PARP inhibition in cancer therapy (2 papers) and Glioma Diagnosis and Treatment (2 papers). Shengfu Piao collaborates with scholars based in United States, Sweden and Russia. Shengfu Piao's co-authors include Ravi K. Amaravadi, Lisa E. Davis, Quentin McAfee, Yunyoung C Chang, Laura Pontiggia, Daniel F. Heitjan, John Anthony Bauer, Katherine L. Nathanson, David R. Van Wagoner and Patrick M. McCarthy and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Circulation Research.

In The Last Decade

Shengfu Piao

15 papers receiving 2.4k citations

Hit Papers

A phase I/II trial of hyd... 2014 2026 2018 2022 2014 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
Shengfu Piao 1.4k 1.3k 399 362 299 15 2.5k
Kook Hwan Kim 1.5k 1.1× 1.3k 1.0× 135 0.3× 103 0.3× 260 0.9× 28 2.9k
Xianghai Liao 907 0.7× 1.2k 0.9× 111 0.3× 276 0.8× 338 1.1× 19 2.3k
Richard Heath 736 0.5× 2.9k 2.2× 278 0.7× 114 0.3× 405 1.4× 15 3.7k
Eileen McMillan‐Ward 841 0.6× 951 0.7× 112 0.3× 68 0.2× 333 1.1× 16 1.9k
Ronald Barbaras 509 0.4× 1.2k 0.9× 235 0.6× 350 1.0× 613 2.1× 53 3.4k
Fan Yeung 637 0.5× 1.6k 1.2× 253 0.6× 154 0.4× 524 1.8× 21 3.6k
Angel L. Armesilla 366 0.3× 1.6k 1.2× 131 0.3× 304 0.8× 415 1.4× 50 2.8k
Thi Bui 1.2k 0.9× 2.9k 2.2× 283 0.7× 80 0.2× 1.0k 3.5× 11 4.3k
Diane Crighton 936 0.7× 1.3k 1.0× 139 0.3× 45 0.1× 354 1.2× 24 2.1k
Maria Perander 2.2k 1.6× 2.1k 1.6× 290 0.7× 41 0.1× 411 1.4× 20 3.7k

Countries citing papers authored by Shengfu Piao

Since Specialization
Citations

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

Fields of papers citing papers by Shengfu Piao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shengfu Piao

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