Da‐Kang Shen
About
In The Last Decade
Da‐Kang Shen
11 papers receiving 239 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Da‐Kang Shen United Kingdom | 10 | 151 | 113 | 77 | 55 | 53 | 11 | 239 | ||
| Olivia Arizmendi United States | 6 | 173 1.1× | 122 1.1× | 73 0.9× | 56 1.0× | 85 1.6× | 7 | 287 | ||
| Maj Brodmann Switzerland | 7 | 169 1.1× | 83 0.7× | 145 1.9× | 77 1.4× | 38 0.7× | 7 | 314 | ||
| Marie‐Ève Charbonneau Canada | 11 | 161 1.1× | 151 1.3× | 143 1.9× | 37 0.7× | 42 0.8× | 11 | 330 | ||
| Nathan P. Bullen Canada | 6 | 226 1.5× | 103 0.9× | 152 2.0× | 112 2.0× | 50 0.9× | 10 | 385 | ||
| Yassine Cherrak Switzerland | 7 | 259 1.7× | 114 1.0× | 143 1.9× | 98 1.8× | 18 0.3× | 11 | 367 | ||
| Biswanath Jana India | 13 | 196 1.3× | 114 1.0× | 183 2.4× | 76 1.4× | 52 1.0× | 25 | 382 | ||
| Anna M. Kolodziejek United States | 8 | 101 0.7× | 196 1.7× | 142 1.8× | 21 0.4× | 25 0.5× | 12 | 322 | ||
| Milena Jaskólska Switzerland | 6 | 159 1.1× | 161 1.4× | 165 2.1× | 97 1.8× | 33 0.6× | 7 | 363 | ||
| Brian C. Russo United States | 11 | 96 0.6× | 106 0.9× | 123 1.6× | 18 0.3× | 49 0.9× | 17 | 255 |
Countries citing papers authored by Da‐Kang Shen
This map shows the geographic impact of Da‐Kang Shen'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 Da‐Kang Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da‐Kang Shen more than expected).
Fields of papers citing papers by Da‐Kang Shen
This network shows the impact of papers produced by Da‐Kang Shen. 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 Da‐Kang Shen. The network helps show where Da‐Kang Shen may publish in the future.
Co-authorship network of co-authors of Da‐Kang Shen
This figure shows the co-authorship network connecting the top 25 collaborators of Da‐Kang Shen. A scholar is included among the top collaborators of Da‐Kang Shen 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 Da‐Kang Shen. Da‐Kang Shen 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.