Daohua Song
About
In The Last Decade
Daohua Song
10 papers receiving 1.1k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Daohua Song United States | 8 | 885 | 373 | 249 | 225 | 113 | 11 | 1.1k | ||
| Margherita Marsili Italy | 17 | 995 1.1× | 517 1.4× | 611 2.5× | 167 0.7× | 157 1.4× | 43 | 1.4k | ||
| S. Schöche United States | 13 | 383 0.4× | 132 0.4× | 235 0.9× | 168 0.7× | 264 2.3× | 20 | 677 | ||
| I. Milošević Serbia | 20 | 1.6k 1.8× | 668 1.8× | 216 0.9× | 180 0.8× | 55 0.5× | 91 | 1.8k | ||
| Francisco Gallego‐Gómez Spain | 15 | 231 0.3× | 330 0.9× | 260 1.0× | 100 0.4× | 137 1.2× | 35 | 621 | ||
| Zhigang Gui China | 19 | 805 0.9× | 277 0.7× | 303 1.2× | 180 0.8× | 540 4.8× | 46 | 1.1k | ||
| F. M. Matinaga Brazil | 21 | 1.2k 1.3× | 338 0.9× | 931 3.7× | 147 0.7× | 192 1.7× | 56 | 1.5k | ||
| David A. Siegel United States | 10 | 1.0k 1.1× | 471 1.3× | 300 1.2× | 187 0.8× | 124 1.1× | 11 | 1.3k | ||
| Mathieu Gallart France | 22 | 1.0k 1.2× | 612 1.6× | 591 2.4× | 266 1.2× | 348 3.1× | 71 | 1.6k | ||
| Ph. Roussignol France | 20 | 587 0.7× | 988 2.6× | 554 2.2× | 484 2.2× | 267 2.4× | 66 | 1.5k | ||
| M.L. Sundheimer Brazil | 12 | 231 0.3× | 408 1.1× | 467 1.9× | 266 1.2× | 213 1.9× | 35 | 910 |
Countries citing papers authored by Daohua Song
This map shows the geographic impact of Daohua Song'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 Daohua Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daohua Song more than expected).
Fields of papers citing papers by Daohua Song
This network shows the impact of papers produced by Daohua Song. 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 Daohua Song. The network helps show where Daohua Song may publish in the future.
Co-authorship network of co-authors of Daohua Song
This figure shows the co-authorship network connecting the top 25 collaborators of Daohua Song. A scholar is included among the top collaborators of Daohua Song 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 Daohua Song. Daohua Song 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.