Patrick T.J. Hwang

54 total papers · 823 total citations
41 papers, 595 citations indexed

About

Patrick T.J. Hwang is a scholar working on Surgery, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Patrick T.J. Hwang has authored 41 papers receiving a total of 595 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Biomedical Engineering and 8 papers in Biomaterials. Recurrent topics in Patrick T.J. Hwang's work include Advanced Sensor and Energy Harvesting Materials (9 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Conducting polymers and applications (6 papers). Patrick T.J. Hwang is often cited by papers focused on Advanced Sensor and Energy Harvesting Materials (9 papers), Electrospun Nanofibers in Biomedical Applications (6 papers) and Conducting polymers and applications (6 papers). Patrick T.J. Hwang collaborates with scholars based in United States, South Korea and Canada. Patrick T.J. Hwang's co-authors include Ho‐Wook Jun, Grant C. Alexander, Derrick Dean, Dong‐Jin Lim, Sangmin Lee, Jinkee Hong, Brigitta C. Brott, Deokjae Heo, Jeremy B. Vines and Jihoon Chung and has published in prestigious journals such as Biomaterials, Advanced Functional Materials and Advanced Energy Materials.

In The Last Decade

Patrick T.J. Hwang

39 papers receiving 580 citations

Author Peers

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

Author Last Decade Papers Cites
Patrick T.J. Hwang 262 154 138 96 77 41 595
Gengsheng Mao 301 1.1× 65 0.4× 91 0.7× 134 1.4× 85 1.1× 42 682
Mahdis Shayan 337 1.3× 101 0.7× 117 0.8× 69 0.7× 105 1.4× 24 681
Abdelmotagaly Elgalad 349 1.3× 130 0.8× 192 1.4× 80 0.8× 30 0.4× 31 545
Xiao Wang 494 1.9× 122 0.8× 126 0.9× 62 0.6× 56 0.7× 25 687
Yu Xiao 277 1.1× 140 0.9× 74 0.5× 42 0.4× 120 1.6× 43 670
Shujie Yan 265 1.0× 140 0.9× 185 1.3× 35 0.4× 74 1.0× 70 646
Xi Wei 221 0.8× 88 0.6× 27 0.2× 54 0.6× 128 1.7× 39 611
Byung‐Joon Park 204 0.8× 42 0.3× 131 0.9× 89 0.9× 79 1.0× 34 621
Xing Tan 177 0.7× 182 1.2× 108 0.8× 41 0.4× 54 0.7× 16 536
Kaitlyn R. Ammann 392 1.5× 92 0.6× 71 0.5× 101 1.1× 28 0.4× 22 567

Countries citing papers authored by Patrick T.J. Hwang

Since Specialization
Citations

This map shows the geographic impact of Patrick T.J. Hwang'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 Patrick T.J. Hwang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick T.J. Hwang more than expected).

Fields of papers citing papers by Patrick T.J. Hwang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Patrick T.J. Hwang. 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 Patrick T.J. Hwang. The network helps show where Patrick T.J. Hwang may publish in the future.

Co-authorship network of co-authors of Patrick T.J. Hwang

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