Wah Chin Boon
About
In The Last Decade
Wah Chin Boon
58 papers receiving 3.1k citations
Hit Papers
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Wah Chin Boon Australia | 26 | 1.3k | 799 | 786 | 714 | 341 | 58 | 3.2k | ||
| Pulak R. Manna United States | 42 | 1.6k 1.2× | 1.1k 1.4× | 1.6k 2.1× | 1.2k 1.6× | 339 1.0× | 84 | 4.9k | ||
| Andrew Wolfe United States | 36 | 818 0.6× | 2.2k 2.7× | 940 1.2× | 598 0.8× | 273 0.8× | 87 | 3.5k | ||
| Masatoshi Nomura Japan | 25 | 665 0.5× | 308 0.4× | 1.5k 1.9× | 316 0.4× | 228 0.7× | 41 | 2.9k | ||
| Christopher R. Cederroth Sweden | 35 | 662 0.5× | 357 0.4× | 878 1.1× | 356 0.5× | 425 1.2× | 79 | 4.3k | ||
| Elisabeth Falkenstein Germany | 26 | 1.1k 0.8× | 360 0.5× | 1.1k 1.4× | 988 1.4× | 253 0.7× | 33 | 3.1k | ||
| María‐Ángeles Arévalo Spain | 36 | 933 0.7× | 182 0.2× | 1.1k 1.4× | 684 1.0× | 512 1.5× | 96 | 3.7k | ||
| Miguel A. Sánchez-Garrido Spain | 30 | 365 0.3× | 1.8k 2.2× | 1.0k 1.3× | 494 0.7× | 552 1.6× | 53 | 3.3k | ||
| Ricardo S. Calandra Argentina | 31 | 502 0.4× | 1.2k 1.5× | 664 0.8× | 948 1.3× | 217 0.6× | 130 | 2.9k | ||
| Michel L. Aubert Switzerland | 41 | 460 0.3× | 1.1k 1.4× | 796 1.0× | 1.2k 1.7× | 609 1.8× | 110 | 4.4k | ||
| Andrea R. Genazzani Italy | 37 | 965 0.7× | 813 1.0× | 519 0.7× | 1.6k 2.3× | 477 1.4× | 133 | 4.0k |
Countries citing papers authored by Wah Chin Boon
This map shows the geographic impact of Wah Chin Boon'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 Wah Chin Boon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wah Chin Boon more than expected).
Fields of papers citing papers by Wah Chin Boon
This network shows the impact of papers produced by Wah Chin Boon. 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 Wah Chin Boon. The network helps show where Wah Chin Boon may publish in the future.
Co-authorship network of co-authors of Wah Chin Boon
This figure shows the co-authorship network connecting the top 25 collaborators of Wah Chin Boon. A scholar is included among the top collaborators of Wah Chin Boon 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 Wah Chin Boon. Wah Chin Boon 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.