Fee‐Lai Leong
About
In The Last Decade
Fee‐Lai Leong
24 papers receiving 640 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Fee‐Lai Leong United States | 15 | 365 | 332 | 155 | 153 | 62 | 24 | 665 | ||
| Noriyuki Kunou Japan | 16 | 403 1.1× | 291 0.9× | 276 1.8× | 189 1.2× | 18 0.3× | 18 | 1.1k | ||
| Naseer Ally South Africa | 8 | 95 0.3× | 102 0.3× | 53 0.3× | 116 0.8× | 12 0.2× | 24 | 336 | ||
| Trevor Carmichael South Africa | 12 | 186 0.5× | 118 0.4× | 72 0.5× | 169 1.1× | 2 0.0× | 16 | 414 | ||
| Xinxin Yu China | 16 | 164 0.4× | 174 0.5× | 120 0.8× | 140 0.9× | 2 0.0× | 28 | 559 | ||
| Ravi Vaishya United States | 10 | 64 0.2× | 85 0.3× | 173 1.1× | 119 0.8× | 4 0.1× | 10 | 538 | ||
| Felicity de Cogan United Kingdom | 11 | 75 0.2× | 62 0.2× | 140 0.9× | 47 0.3× | 3 0.0× | 29 | 407 | ||
| Sarin Gs India | 11 | 111 0.3× | 90 0.3× | 78 0.5× | 195 1.3× | 3 0.0× | 38 | 475 | ||
| Viral Tamboli United States | 7 | 53 0.1× | 52 0.2× | 117 0.8× | 120 0.8× | 3 0.0× | 8 | 401 | ||
| Dileep R. Janagam United States | 9 | 67 0.2× | 100 0.3× | 89 0.6× | 176 1.2× | 3 0.0× | 12 | 418 | ||
| Dongqing Zhao China | 14 | 136 0.4× | 179 0.5× | 73 0.5× | 132 0.9× | 19 0.3× | 47 | 474 |
Countries citing papers authored by Fee‐Lai Leong
This map shows the geographic impact of Fee‐Lai Leong'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 Fee‐Lai Leong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fee‐Lai Leong more than expected).
Fields of papers citing papers by Fee‐Lai Leong
This network shows the impact of papers produced by Fee‐Lai Leong. 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 Fee‐Lai Leong. The network helps show where Fee‐Lai Leong may publish in the future.
Co-authorship network of co-authors of Fee‐Lai Leong
This figure shows the co-authorship network connecting the top 25 collaborators of Fee‐Lai Leong. A scholar is included among the top collaborators of Fee‐Lai Leong 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 Fee‐Lai Leong. Fee‐Lai Leong 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.