Shukun Fu

19 total papers · 582 total citations
15 papers, 422 citations indexed

About

Shukun Fu is a scholar working on Surgery, Anesthesiology and Pain Medicine and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Shukun Fu has authored 15 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Surgery, 5 papers in Anesthesiology and Pain Medicine and 4 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Shukun Fu's work include Anesthesia and Pain Management (7 papers), Hemodynamic Monitoring and Therapy (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Shukun Fu is often cited by papers focused on Anesthesia and Pain Management (7 papers), Hemodynamic Monitoring and Therapy (3 papers) and Cardiac, Anesthesia and Surgical Outcomes (3 papers). Shukun Fu collaborates with scholars based in China and United States. Shukun Fu's co-authors include Xiaoyin Niu, Xibing Ding, Quan Li, Quan Li, Fuqing Lin, Shuqing Jin, Hao Ren, Ming‐Hui Chen, Jun Lu and Fuqing Lin and has published in prestigious journals such as PLoS ONE, CNS Neuroscience & Therapeutics and Journal of Cardiothoracic and Vascular Anesthesia.

In The Last Decade

Shukun Fu

15 papers receiving 398 citations

Author Peers

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

Author						Papers	Cites
Shukun Fu	278	118	114	49	43	15	422
Hideo Hirakata	176 0.6×	110 0.9×	119 1.0×	46 0.9×	40 0.9×	21	462
Allan B. Gould	255 0.9×	188 1.6×	117 1.0×	48 1.0×	25 0.6×	16	456
D. Francis	356 1.3×	171 1.4×	100 0.9×	68 1.4×	38 0.9×	12	458
W. C. Seyde	159 0.6×	77 0.7×	101 0.9×	72 1.5×	28 0.7×	20	490
M. KIRVELÄ	156 0.6×	208 1.8×	138 1.2×	46 0.9×	23 0.5×	15	460
E. Couderc	206 0.7×	181 1.5×	171 1.5×	26 0.5×	20 0.5×	21	478
Phillips Hallowell	198 0.7×	127 1.1×	174 1.5×	55 1.1×	37 0.9×	12	439
Christian Zaarour	285 1.0×	161 1.4×	63 0.6×	59 1.2×	29 0.7×	17	426
Danja Strümper	269 1.0×	90 0.8×	72 0.6×	51 1.0×	19 0.4×	22	461
Ferruh Bilgin	169 0.6×	90 0.8×	66 0.6×	59 1.2×	36 0.8×	16	397

Countries citing papers authored by Shukun Fu

Since Specialization

Citations

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

Fields of papers citing papers by Shukun Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shukun Fu

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