Steve S. Huang

77 total papers · 907 total citations
30 papers, 682 citations indexed

About

Steve S. Huang is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Steve S. Huang has authored 30 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pulmonary and Respiratory Medicine, 10 papers in Radiology, Nuclear Medicine and Imaging and 8 papers in Genetics. Recurrent topics in Steve S. Huang's work include Medical Imaging Techniques and Applications (5 papers), Brain Metastases and Treatment (4 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). Steve S. Huang is often cited by papers focused on Medical Imaging Techniques and Applications (5 papers), Brain Metastases and Treatment (4 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). Steve S. Huang collaborates with scholars based in United States, China and Egypt. Steve S. Huang's co-authors include Warren D.W. Heston, Dean J. Bacich, Denise S. O’Keefe, PG Waber, P. Leslie Dutton, Xinning Wang, Mitchell Lewis, A. Joshua Wand, Hong Guo and James P. Basilion and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Steve S. Huang

29 papers receiving 672 citations

Author Peers

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

Author Last Decade Papers Cites
Steve S. Huang 236 216 165 144 85 30 682
H. Sinn 143 0.6× 237 1.1× 148 0.9× 50 0.3× 135 1.6× 41 740
Hannsjörg Sinn 91 0.4× 321 1.5× 142 0.9× 40 0.3× 138 1.6× 16 703
Michael A. Dengler 116 0.5× 449 2.1× 51 0.3× 58 0.4× 48 0.6× 24 699
Jon Smythe 88 0.4× 326 1.5× 61 0.4× 119 0.8× 50 0.6× 25 744
Aldo Profumo 178 0.8× 277 1.3× 28 0.2× 71 0.5× 56 0.7× 48 694
Fangjing Wang 51 0.2× 183 0.8× 71 0.4× 172 1.2× 130 1.5× 21 665
Neal Shah 193 0.8× 145 0.7× 35 0.2× 90 0.6× 98 1.2× 40 601
Stacey A. Snyder 100 0.4× 202 0.9× 123 0.7× 32 0.2× 110 1.3× 16 775
Anna Degrassi 80 0.3× 226 1.0× 185 1.1× 80 0.6× 144 1.7× 26 736
Stephanie T. Murphy 89 0.4× 251 1.2× 144 0.9× 20 0.1× 120 1.4× 22 728

Countries citing papers authored by Steve S. Huang

Since Specialization
Citations

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

Fields of papers citing papers by Steve S. Huang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steve S. Huang

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