Gabrielle Hochu
About
In The Last Decade
Gabrielle Hochu
6 papers receiving 1.0k 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Gabrielle Hochu United States | 4 | 433 | 427 | 391 | 245 | 224 | 6 | 1.0k | ||
| Joshua J. Milligan United States | 6 | 195 0.5× | 170 0.4× | 135 0.3× | 168 0.7× | 69 0.3× | 8 | 516 | ||
| Nikki Thai United States | 5 | 176 0.4× | 312 0.7× | 184 0.5× | 180 0.7× | 261 1.2× | 5 | 648 | ||
| Nak Won Kim South Korea | 9 | 131 0.3× | 153 0.4× | 235 0.6× | 241 1.0× | 30 0.1× | 12 | 557 | ||
| Anran Yuan China | 13 | 220 0.5× | 110 0.3× | 260 0.7× | 188 0.8× | 33 0.1× | 21 | 793 | ||
| Daniel Chin Shiuan Lio Singapore | 12 | 224 0.5× | 86 0.2× | 443 1.1× | 374 1.5× | 26 0.1× | 14 | 895 | ||
| Yongli Chen China | 11 | 364 0.8× | 33 0.1× | 212 0.5× | 177 0.7× | 105 0.5× | 20 | 715 | ||
| Michelle E. Turvey Australia | 11 | 94 0.2× | 197 0.5× | 178 0.5× | 163 0.7× | 82 0.4× | 14 | 550 | ||
| Chiara Bastiancich France | 20 | 629 1.5× | 109 0.3× | 164 0.4× | 364 1.5× | 94 0.4× | 29 | 1.3k | ||
| Jie Niu China | 13 | 199 0.5× | 64 0.1× | 122 0.3× | 364 1.5× | 42 0.2× | 18 | 798 | ||
| Deyao Zhao China | 21 | 397 0.9× | 111 0.3× | 96 0.2× | 691 2.8× | 65 0.3× | 42 | 1.1k |
Countries citing papers authored by Gabrielle Hochu
This map shows the geographic impact of Gabrielle Hochu'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 Gabrielle Hochu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabrielle Hochu more than expected).
Fields of papers citing papers by Gabrielle Hochu
This network shows the impact of papers produced by Gabrielle Hochu. 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 Gabrielle Hochu. The network helps show where Gabrielle Hochu may publish in the future.
Co-authorship network of co-authors of Gabrielle Hochu
This figure shows the co-authorship network connecting the top 25 collaborators of Gabrielle Hochu. A scholar is included among the top collaborators of Gabrielle Hochu 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 Gabrielle Hochu. Gabrielle Hochu 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.