In‐Su Park

44 total papers · 868 total citations
32 papers, 699 citations indexed

About

In‐Su Park is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, In‐Su Park has authored 32 papers receiving a total of 699 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Surgery, 12 papers in Radiology, Nuclear Medicine and Imaging and 11 papers in Genetics. Recurrent topics in In‐Su Park's work include Mesenchymal stem cell research (11 papers), Laser Applications in Dentistry and Medicine (11 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). In‐Su Park is often cited by papers focused on Mesenchymal stem cell research (11 papers), Laser Applications in Dentistry and Medicine (11 papers) and Electrospun Nanofibers in Biomedical Applications (10 papers). In‐Su Park collaborates with scholars based in South Korea and United States. In‐Su Park's co-authors include Phil‐Sang Chung, Jin Chul Ahn, Sang‐Heon Kim, Jong‐Won Rhie, Soo Hyun Kim, Youngmee Jung, Byoung‐Hyun Min, Min Han, Do Young Park and Arindam Mondal and has published in prestigious journals such as PLoS ONE, Biomaterials and Scientific Reports.

In The Last Decade

In‐Su Park

31 papers receiving 690 citations

Author Peers

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

Author Last Decade Papers Cites
In‐Su Park 256 234 174 170 149 32 699
Rebecca D. Levit 194 0.8× 320 1.4× 184 1.1× 162 1.0× 113 0.8× 32 795
Carol Johnston 161 0.6× 247 1.1× 157 0.9× 208 1.2× 215 1.4× 19 755
Miguel Blanquer 406 1.6× 238 1.0× 252 1.4× 64 0.4× 72 0.5× 59 901
D. Stanco 302 1.2× 333 1.4× 168 1.0× 77 0.5× 181 1.2× 26 826
Fatima N. Syed-Picard 172 0.7× 154 0.7× 120 0.7× 99 0.6× 137 0.9× 20 681
Kshemendra Senarath-Yapa 263 1.0× 283 1.2× 260 1.5× 150 0.9× 169 1.1× 33 903
Yuan Liu 171 0.7× 186 0.8× 257 1.5× 124 0.7× 121 0.8× 28 838
Jakub Suchánek 475 1.9× 262 1.1× 215 1.2× 109 0.6× 82 0.6× 41 805
E. Rendal 304 1.2× 417 1.8× 145 0.8× 145 0.9× 54 0.4× 34 717
Pamela I. Rogers 364 1.4× 603 2.6× 221 1.3× 266 1.6× 116 0.8× 18 897

Countries citing papers authored by In‐Su Park

Since Specialization
Citations

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

Fields of papers citing papers by In‐Su Park

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by In‐Su Park. 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 In‐Su Park. The network helps show where In‐Su Park may publish in the future.

Co-authorship network of co-authors of In‐Su Park

This figure shows the co-authorship network connecting the top 25 collaborators of In‐Su Park. A scholar is included among the top collaborators of In‐Su Park 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 In‐Su Park. In‐Su Park 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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