Shang‐Hsin Wu

12 total papers · 432 total citations
11 papers, 314 citations indexed

About

Shang‐Hsin Wu is a scholar working on Surgery, Oncology and Hepatology. According to data from OpenAlex, Shang‐Hsin Wu has authored 11 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 6 papers in Oncology and 4 papers in Hepatology. Recurrent topics in Shang‐Hsin Wu's work include Pediatric Hepatobiliary Diseases and Treatments (7 papers), Drug Transport and Resistance Mechanisms (6 papers) and Organ Transplantation Techniques and Outcomes (3 papers). Shang‐Hsin Wu is often cited by papers focused on Pediatric Hepatobiliary Diseases and Treatments (7 papers), Drug Transport and Resistance Mechanisms (6 papers) and Organ Transplantation Techniques and Outcomes (3 papers). Shang‐Hsin Wu collaborates with scholars based in Taiwan, United States and Hong Kong. Shang‐Hsin Wu's co-authors include Mei‐Hwei Chang, Hui‐Ling Chen, Huey‐Ling Chen, Yen‐Hsuan Ni, Yu‐Jung Liu, Hong‐Yuan Hsu, Yahui Chen, Ming‐Chih Ho, Yung‐Ming Jeng and Chun-Hsien Yu and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Hepatology.

In The Last Decade

Shang‐Hsin Wu

11 papers receiving 312 citations

Author Peers

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

Author						Papers	Cites
Shang‐Hsin Wu	185	158	113	107	50	11	314
Melissa Sambrotta	178 1.0×	153 1.0×	103 0.9×	72 0.7×	18 0.4×	7	274
Naomi Tanaka	187 1.0×	135 0.9×	75 0.7×	107 1.0×	31 0.6×	9	325
Cristina Bassotti	177 1.0×	149 0.9×	65 0.6×	136 1.3×	20 0.4×	8	304
Sotaro Naoi	127 0.7×	189 1.2×	66 0.6×	31 0.3×	45 0.9×	8	275
U Grützner	93 0.5×	183 1.2×	60 0.5×	59 0.6×	63 1.3×	13	308
Dingemans Kp	116 0.6×	178 1.1×	106 0.9×	103 1.0×	20 0.4×	8	341
Dorien S. Visser	243 1.3×	59 0.4×	72 0.6×	187 1.7×	31 0.6×	7	341
Tiffany Shi	118 0.6×	107 0.7×	101 0.9×	101 0.9×	7 0.1×	12	258
E A Roberts	148 0.8×	40 0.3×	60 0.5×	122 1.1×	19 0.4×	11	285
Andrea Thüringer	100 0.5×	94 0.6×	117 1.0×	117 1.1×	30 0.6×	10	301

Countries citing papers authored by Shang‐Hsin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Shang‐Hsin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shang‐Hsin Wu

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