Shen‐Wen Fu

13 total papers · 461 total citations
8 papers, 332 citations indexed

About

Shen‐Wen Fu is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Shen‐Wen Fu has authored 8 papers receiving a total of 332 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Cardiology and Cardiovascular Medicine, 3 papers in Epidemiology and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Shen‐Wen Fu's work include Liver Disease Diagnosis and Treatment (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Shen‐Wen Fu is often cited by papers focused on Liver Disease Diagnosis and Treatment (3 papers), Cancer, Lipids, and Metabolism (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Shen‐Wen Fu collaborates with scholars based in China, Belgium and Brazil. Shen‐Wen Fu's co-authors include Ming‐Hua Zheng, Yaoyao Zhou, Xiaodong Zhou, Sven Van Poucke, Shengjie Wu, Gui‐Qi Zhu, Ji-Na Zheng, Zhang Cheng, Biao Tang and Yong‐Ping Chen and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Scientific Reports.

In The Last Decade

Shen‐Wen Fu

8 papers receiving 327 citations

Author Peers

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

Author						Papers	Cites
Shen‐Wen Fu	243	131	93	74	68	8	332
Yuki Ohmoto	260 1.1×	95 0.7×	158 1.7×	82 1.1×	55 0.8×	13	357
Shui-Xian Du	297 1.2×	105 0.8×	140 1.5×	40 0.5×	42 0.6×	12	323
Jen Jung Pan	214 0.9×	105 0.8×	107 1.2×	104 1.4×	31 0.5×	6	342
Apostolos Taxiarchis	235 1.0×	130 1.0×	57 0.6×	35 0.5×	54 0.8×	7	310
Helene Gellert‐Kristensen	223 0.9×	113 0.9×	90 1.0×	31 0.4×	33 0.5×	7	260
Grace En Hui Lim	284 1.2×	109 0.8×	139 1.5×	35 0.5×	41 0.6×	9	345
Cameron Gofton	219 0.9×	115 0.9×	72 0.8×	25 0.3×	34 0.5×	9	277
Tanya Chavez	244 1.0×	60 0.5×	141 1.5×	28 0.4×	32 0.5×	6	365
Norihiro Chatani	182 0.7×	49 0.4×	123 1.3×	70 0.9×	21 0.3×	10	351
Alex Zimmet	283 1.2×	68 0.5×	200 2.2×	50 0.7×	26 0.4×	13	331

Countries citing papers authored by Shen‐Wen Fu

Since Specialization

Citations

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

Fields of papers citing papers by Shen‐Wen Fu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shen‐Wen Fu

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