In‐Sook An
About
In The Last Decade
In‐Sook An
63 papers receiving 1.1k citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| In‐Sook An South Korea | 21 | 441 | 333 | 167 | 152 | 147 | 64 | 1.1k | ||
| Hwa Jun South Korea | 19 | 502 1.1× | 239 0.7× | 233 1.4× | 131 0.9× | 121 0.8× | 46 | 1.1k | ||
| Seong Min Kim South Korea | 20 | 857 1.9× | 89 0.3× | 153 0.9× | 152 1.0× | 202 1.4× | 64 | 2.0k | ||
| Eun-Sook Yoo South Korea | 22 | 352 0.8× | 137 0.4× | 66 0.4× | 104 0.7× | 49 0.3× | 69 | 1.1k | ||
| Seung Ho Lee South Korea | 18 | 427 1.0× | 110 0.3× | 111 0.7× | 60 0.4× | 75 0.5× | 32 | 1.1k | ||
| Seoungwoo Shin South Korea | 19 | 379 0.9× | 182 0.5× | 67 0.4× | 134 0.9× | 142 1.0× | 47 | 916 | ||
| Leonardo Celleno Italy | 15 | 174 0.4× | 242 0.7× | 44 0.3× | 75 0.5× | 98 0.7× | 32 | 896 | ||
| Jutta Wenk Germany | 17 | 722 1.6× | 888 2.7× | 176 1.1× | 325 2.1× | 289 2.0× | 21 | 1.9k | ||
| Eunson Hwang South Korea | 30 | 667 1.5× | 941 2.8× | 54 0.3× | 401 2.6× | 412 2.8× | 66 | 2.0k | ||
| Kathleen L. Tober United States | 19 | 338 0.8× | 319 1.0× | 77 0.5× | 94 0.6× | 125 0.9× | 31 | 977 | ||
| Nan‐Lin Wu Taiwan | 20 | 293 0.7× | 275 0.8× | 61 0.4× | 73 0.5× | 129 0.9× | 41 | 891 |
Countries citing papers authored by In‐Sook An
This map shows the geographic impact of In‐Sook An'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‐Sook An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites In‐Sook An more than expected).
Fields of papers citing papers by In‐Sook An
This network shows the impact of papers produced by In‐Sook An. 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‐Sook An. The network helps show where In‐Sook An may publish in the future.
Co-authorship network of co-authors of In‐Sook An
This figure shows the co-authorship network connecting the top 25 collaborators of In‐Sook An. A scholar is included among the top collaborators of In‐Sook An 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‐Sook An. In‐Sook An is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
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.