Hsueh‐Kung Lin

66 total papers · 5.0k total citations
53 papers, 4.2k citations indexed

About

Hsueh‐Kung Lin is a scholar working on Surgery, Biomaterials and Urology. According to data from OpenAlex, Hsueh‐Kung Lin has authored 53 papers receiving a total of 4.2k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Surgery, 17 papers in Biomaterials and 13 papers in Urology. Recurrent topics in Hsueh‐Kung Lin's work include Tissue Engineering and Regenerative Medicine (20 papers), Electrospun Nanofibers in Biomedical Applications (17 papers) and Urological Disorders and Treatments (11 papers). Hsueh‐Kung Lin is often cited by papers focused on Tissue Engineering and Regenerative Medicine (20 papers), Electrospun Nanofibers in Biomedical Applications (17 papers) and Urological Disorders and Treatments (11 papers). Hsueh‐Kung Lin collaborates with scholars based in United States, China and Oman. Hsueh‐Kung Lin's co-authors include John C. Reed, Dan A. Liebermann, Barbara Hoffman, Hong‐Gang Wang, Toshiyuki Miyashita, Maryla Krajewska, Stanisław Krajewski, Bradley P. Kropp, Kar‐Ming Fung and Yuanyuan Zhang and has published in prestigious journals such as Biomaterials, Molecular and Cellular Biology and Advanced Drug Delivery Reviews.

In The Last Decade

Hsueh‐Kung Lin

52 papers receiving 4.1k citations

Hit Papers

Tumor suppressor p53 is a... 1994 2026 2004 2015 1994 500 1000 1.5k

Author Peers

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

Author Last Decade Papers Cites
Hsueh‐Kung Lin 2.0k 1.0k 924 635 496 53 4.2k
Basem M. Abdallah 2.7k 1.4× 807 0.8× 1.0k 1.1× 361 0.6× 296 0.6× 94 5.3k
Beverly Peterkofsky 1.9k 1.0× 464 0.4× 421 0.5× 600 0.9× 180 0.4× 76 5.2k
Rajendra Raghow 3.3k 1.7× 534 0.5× 1.0k 1.1× 222 0.3× 139 0.3× 128 6.6k
Meinhard Wlaschek 2.4k 1.2× 357 0.3× 499 0.5× 336 0.5× 157 0.3× 96 7.6k
Paul E. DiCorleto 4.0k 2.0× 921 0.9× 1.7k 1.8× 322 0.5× 93 0.2× 106 8.7k
Rosalyn M. Adam 3.3k 1.7× 731 0.7× 1.5k 1.6× 475 0.7× 684 1.4× 120 6.2k
Liang Dong 1.6k 0.8× 442 0.4× 486 0.5× 191 0.3× 152 0.3× 84 3.2k
Junfeng Zhang 3.2k 1.7× 734 0.7× 591 0.6× 611 1.0× 171 0.3× 119 6.5k
Daniel Lajeunesse 2.4k 1.2× 1.0k 1.0× 887 1.0× 110 0.2× 360 0.7× 99 6.3k
Wei Jiang 2.2k 1.1× 538 0.5× 448 0.5× 150 0.2× 244 0.5× 80 3.9k

Countries citing papers authored by Hsueh‐Kung Lin

Since Specialization
Citations

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

Fields of papers citing papers by Hsueh‐Kung Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hsueh‐Kung Lin. 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 Hsueh‐Kung Lin. The network helps show where Hsueh‐Kung Lin may publish in the future.

Co-authorship network of co-authors of Hsueh‐Kung Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Hsueh‐Kung Lin. A scholar is included among the top collaborators of Hsueh‐Kung Lin 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 Hsueh‐Kung Lin. Hsueh‐Kung Lin 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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