William J. Huang

146 total papers · 946 total citations
76 papers, 628 citations indexed

About

William J. Huang is a scholar working on Pulmonary and Respiratory Medicine, Surgery and Reproductive Medicine. According to data from OpenAlex, William J. Huang has authored 76 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Pulmonary and Respiratory Medicine, 22 papers in Surgery and 14 papers in Reproductive Medicine. Recurrent topics in William J. Huang's work include Prostate Cancer Treatment and Research (13 papers), Prostate Cancer Diagnosis and Treatment (12 papers) and Sperm and Testicular Function (11 papers). William J. Huang is often cited by papers focused on Prostate Cancer Treatment and Research (13 papers), Prostate Cancer Diagnosis and Treatment (12 papers) and Sperm and Testicular Function (11 papers). William J. Huang collaborates with scholars based in Taiwan, United States and China. William J. Huang's co-authors include Kuang‐Kuo Chen, Ching-Yuang Lin, Luke S. Chang, Ling-Yu Yang, Paulus S. Wang, Hsiao‐Jen Chung, Eric Yi‐Hsiu Huang, Tzu‐Ping Lin, Jiun‐Yih Yeh and Shu‐Fen Kan and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

William J. Huang

69 papers receiving 613 citations

Author Peers

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

Author Last Decade Papers Cites
William J. Huang 212 155 134 130 84 76 628
Yukihiro Umemoto 203 1.0× 157 1.0× 157 1.2× 139 1.1× 92 1.1× 69 630
Nahid Punjani 128 0.6× 186 1.2× 236 1.8× 109 0.8× 42 0.5× 87 625
Takuo Koide 331 1.6× 76 0.5× 115 0.9× 153 1.2× 79 0.9× 66 629
Malcolm D. Cosgrove 201 0.9× 266 1.7× 70 0.5× 102 0.8× 49 0.6× 36 747
Alfonso Papparella 114 0.5× 377 2.4× 175 1.3× 140 1.1× 45 0.5× 66 715
Luigi Candela 211 1.0× 61 0.4× 214 1.6× 75 0.6× 27 0.3× 83 592
Yılmaz Aksoy 98 0.5× 220 1.4× 178 1.3× 70 0.5× 22 0.3× 39 588
Stanley Zaslau 149 0.7× 156 1.0× 32 0.2× 61 0.5× 50 0.6× 84 553
Utku Arman Örün 125 0.6× 147 0.9× 65 0.5× 243 1.9× 198 2.4× 67 650
Naif Alhathal 163 0.8× 110 0.7× 393 2.9× 119 0.9× 90 1.1× 36 748

Countries citing papers authored by William J. Huang

Since Specialization
Citations

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

Fields of papers citing papers by William J. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William J. Huang. 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 William J. Huang. The network helps show where William J. Huang may publish in the future.

Co-authorship network of co-authors of William J. Huang

This figure shows the co-authorship network connecting the top 25 collaborators of William J. Huang. A scholar is included among the top collaborators of William J. Huang 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 William J. Huang. William J. Huang 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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