Sang Mi Shim
About
In The Last Decade
Sang Mi Shim
13 papers receiving 652 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Sang Mi Shim South Korea | 13 | 404 | 174 | 172 | 140 | 76 | 13 | 661 | ||
| Sylvaine Guérit Germany | 9 | 343 0.8× | 168 1.0× | 271 1.6× | 54 0.4× | 66 0.9× | 13 | 747 | ||
| Briony L. Gliddon Australia | 15 | 399 1.0× | 111 0.6× | 259 1.5× | 267 1.9× | 92 1.2× | 23 | 764 | ||
| Danila Ivanov Switzerland | 11 | 465 1.2× | 126 0.7× | 207 1.2× | 92 0.7× | 73 1.0× | 14 | 722 | ||
| Mathieu Fortier France | 11 | 390 1.0× | 89 0.5× | 95 0.6× | 106 0.8× | 31 0.4× | 19 | 560 | ||
| Monica Cardone Italy | 10 | 330 0.8× | 313 1.8× | 174 1.0× | 405 2.9× | 46 0.6× | 13 | 817 | ||
| Judith N. Haslett United States | 11 | 710 1.8× | 132 0.8× | 98 0.6× | 109 0.8× | 22 0.3× | 11 | 881 | ||
| Shailaja Akunuru United States | 14 | 528 1.3× | 82 0.5× | 144 0.8× | 82 0.6× | 197 2.6× | 14 | 900 | ||
| Aparna Kaul United States | 11 | 274 0.7× | 118 0.7× | 96 0.6× | 39 0.3× | 68 0.9× | 13 | 676 | ||
| Deepthi Sanagasetti United States | 9 | 339 0.8× | 246 1.4× | 144 0.8× | 167 1.2× | 20 0.3× | 11 | 626 | ||
| Beatriz Sánchez‐Solana United States | 11 | 359 0.9× | 117 0.7× | 42 0.2× | 109 0.8× | 65 0.9× | 13 | 610 |
Countries citing papers authored by Sang Mi Shim
This map shows the geographic impact of Sang Mi Shim'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 Sang Mi Shim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sang Mi Shim more than expected).
Fields of papers citing papers by Sang Mi Shim
This network shows the impact of papers produced by Sang Mi Shim. 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 Sang Mi Shim. The network helps show where Sang Mi Shim may publish in the future.
Co-authorship network of co-authors of Sang Mi Shim
This figure shows the co-authorship network connecting the top 25 collaborators of Sang Mi Shim. A scholar is included among the top collaborators of Sang Mi Shim 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 Sang Mi Shim. Sang Mi Shim 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.