Hao Yan
About
In The Last Decade
Hao Yan
282 papers receiving 31.5k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Hao Yan United States | 93 | 27.3k | 9.4k | 4.9k | 4.3k | 3.5k | 292 | 32.0k | ||
| Nadrian C. Seeman United States | 82 | 31.2k 1.1× | 6.0k 0.6× | 6.1k 1.2× | 3.2k 0.8× | 3.2k 0.9× | 339 | 35.0k | ||
| Yan Liu United States | 68 | 15.8k 0.6× | 5.9k 0.6× | 2.9k 0.6× | 2.5k 0.6× | 1.9k 0.6× | 230 | 18.9k | ||
| Tim Liedl Germany | 58 | 10.1k 0.4× | 6.2k 0.7× | 1.3k 0.3× | 4.1k 1.0× | 1.6k 0.5× | 133 | 15.9k | ||
| Christof M. Niemeyer Germany | 67 | 12.6k 0.5× | 5.1k 0.5× | 1.5k 0.3× | 3.4k 0.8× | 2.7k 0.8× | 351 | 17.6k | ||
| Friedrich C. Simmel Germany | 58 | 11.9k 0.4× | 5.2k 0.5× | 1.5k 0.3× | 1.4k 0.3× | 1.7k 0.5× | 197 | 15.1k | ||
| Chengde Mao United States | 57 | 11.9k 0.4× | 3.2k 0.3× | 2.3k 0.5× | 2.9k 0.7× | 1.4k 0.4× | 232 | 14.9k | ||
| William M. Shih United States | 48 | 13.3k 0.5× | 4.1k 0.4× | 2.8k 0.6× | 1.1k 0.3× | 790 0.2× | 83 | 15.5k | ||
| Andrew J. Turberfield United Kingdom | 50 | 10.1k 0.4× | 3.5k 0.4× | 1.6k 0.3× | 1.2k 0.3× | 2.3k 0.7× | 125 | 13.5k | ||
| Hendrik Dietz Germany | 52 | 11.5k 0.4× | 4.3k 0.5× | 2.5k 0.5× | 927 0.2× | 900 0.3× | 134 | 13.5k | ||
| Shankar Balasubramanian United Kingdom | 101 | 32.9k 1.2× | 3.3k 0.4× | 1.7k 0.3× | 1.6k 0.4× | 1.5k 0.4× | 378 | 38.8k |
Countries citing papers authored by Hao Yan
This map shows the geographic impact of Hao Yan'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 Hao Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hao Yan more than expected).
Fields of papers citing papers by Hao Yan
This network shows the impact of papers produced by Hao Yan. 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 Hao Yan. The network helps show where Hao Yan may publish in the future.
Co-authorship network of co-authors of Hao Yan
This figure shows the co-authorship network connecting the top 25 collaborators of Hao Yan. A scholar is included among the top collaborators of Hao Yan 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 Hao Yan. Hao Yan 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.