Tun Naw Sut
About
In The Last Decade
Tun Naw Sut
45 papers receiving 725 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Tun Naw Sut Singapore | 17 | 513 | 253 | 134 | 99 | 61 | 48 | 730 | ||
| Nic Mullin United Kingdom | 16 | 250 0.5× | 206 0.8× | 205 1.5× | 77 0.8× | 63 1.0× | 25 | 894 | ||
| Christian Schwieger Germany | 14 | 445 0.9× | 102 0.4× | 60 0.4× | 130 1.3× | 125 2.0× | 40 | 766 | ||
| Olga I. Kiselyova Russia | 13 | 181 0.4× | 123 0.5× | 126 0.9× | 109 1.1× | 58 1.0× | 22 | 645 | ||
| Elisabeth David Briand France | 14 | 384 0.7× | 220 0.9× | 88 0.7× | 43 0.4× | 35 0.6× | 16 | 743 | ||
| Hashem Etayash Canada | 19 | 512 1.0× | 433 1.7× | 100 0.7× | 163 1.6× | 97 1.6× | 26 | 1.1k | ||
| Jean‐Philippe Michel France | 19 | 270 0.5× | 215 0.8× | 59 0.4× | 122 1.2× | 96 1.6× | 41 | 816 | ||
| Neeraja Venkateswaran United States | 10 | 236 0.5× | 115 0.5× | 53 0.4× | 109 1.1× | 52 0.9× | 22 | 482 | ||
| Delin Sun United States | 18 | 393 0.8× | 91 0.4× | 48 0.4× | 99 1.0× | 106 1.7× | 27 | 689 | ||
| Charlotte Larsson Sweden | 16 | 680 1.3× | 455 1.8× | 278 2.1× | 101 1.0× | 83 1.4× | 21 | 1.5k | ||
| Yuping Shan China | 20 | 455 0.9× | 232 0.9× | 216 1.6× | 122 1.2× | 12 0.2× | 44 | 957 |
Countries citing papers authored by Tun Naw Sut
This map shows the geographic impact of Tun Naw Sut'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 Tun Naw Sut with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tun Naw Sut more than expected).
Fields of papers citing papers by Tun Naw Sut
This network shows the impact of papers produced by Tun Naw Sut. 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 Tun Naw Sut. The network helps show where Tun Naw Sut may publish in the future.
Co-authorship network of co-authors of Tun Naw Sut
This figure shows the co-authorship network connecting the top 25 collaborators of Tun Naw Sut. A scholar is included among the top collaborators of Tun Naw Sut 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 Tun Naw Sut. Tun Naw Sut 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.