I‐Hsien Wu

57 total papers · 1.6k total citations
23 papers, 722 citations indexed

About

I‐Hsien Wu is a scholar working on Molecular Biology, Ophthalmology and Genetics. According to data from OpenAlex, I‐Hsien Wu has authored 23 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Ophthalmology and 5 papers in Genetics. Recurrent topics in I‐Hsien Wu's work include Retinal Diseases and Treatments (6 papers), Retinoids in leukemia and cellular processes (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). I‐Hsien Wu is often cited by papers focused on Retinal Diseases and Treatments (6 papers), Retinoids in leukemia and cellular processes (4 papers) and Adipokines, Inflammation, and Metabolic Diseases (4 papers). I‐Hsien Wu collaborates with scholars based in United States, China and Norway. I‐Hsien Wu's co-authors include George L. King, Christian Rask‐Madsen, Kyoungmin Park, Motonobu Matsumoto, Paul L. Huang, Allen C. Clermont, C. Ronald Kahn, Rosario Scalia, Qian Li and Saurav Singh and has published in prestigious journals such as Journal of Biological Chemistry, Bioinformatics and Circulation Research.

In The Last Decade

I‐Hsien Wu

21 papers receiving 709 citations

Author Peers

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

Author Last Decade Papers Cites
I‐Hsien Wu 295 172 150 143 119 23 722
Masahiro Okouchi 330 1.1× 136 0.8× 168 1.1× 92 0.6× 119 1.0× 20 882
Natalia Jarzebska 250 0.8× 199 1.2× 269 1.8× 135 0.9× 121 1.0× 32 853
Tomoaki Inoue 266 0.9× 159 0.9× 148 1.0× 89 0.6× 95 0.8× 23 643
Yuzuru Ohshiro 238 0.8× 183 1.1× 213 1.4× 75 0.5× 99 0.8× 20 782
Masayuki Noritake 239 0.8× 131 0.8× 120 0.8× 114 0.8× 126 1.1× 30 724
Kerstin Wassmann 282 1.0× 147 0.9× 163 1.1× 143 1.0× 80 0.7× 13 759
Naoyuki Iso-O 399 1.4× 109 0.6× 133 0.9× 71 0.5× 223 1.9× 25 735
H.-U. Häring 301 1.0× 194 1.1× 206 1.4× 134 0.9× 127 1.1× 25 718
Rodolphe Dusaulcy 383 1.3× 104 0.6× 176 1.2× 63 0.4× 164 1.4× 20 652
S Kralisch 296 1.0× 158 0.9× 259 1.7× 171 1.2× 125 1.1× 28 764

Countries citing papers authored by I‐Hsien Wu

Since Specialization
Citations

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

Fields of papers citing papers by I‐Hsien Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of I‐Hsien Wu

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