Mesha‐Gay Brown
About
In The Last Decade
Mesha‐Gay Brown
16 papers receiving 228 citations
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late) cites · hero ref
| Name | h | Career | Trend | Papers | Cites | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| Mesha‐Gay Brown United States | 10 | 116 | 107 | 81 | 69 | 39 | 16 | 231 | ||
| Sarah K. Bick United States | 12 | 188 1.6× | 112 1.0× | 134 1.7× | 92 1.3× | 40 1.0× | 38 | 413 | ||
| Scheherazade Le United States | 9 | 110 0.9× | 165 1.5× | 87 1.1× | 71 1.0× | 11 0.3× | 31 | 276 | ||
| Angela Marchi France | 12 | 67 0.6× | 146 1.4× | 158 2.0× | 96 1.4× | 73 1.9× | 30 | 378 | ||
| Jesús González de la Aleja Spain | 10 | 187 1.6× | 150 1.4× | 41 0.5× | 66 1.0× | 77 2.0× | 30 | 405 | ||
| Ann Hyslop United States | 10 | 52 0.4× | 143 1.3× | 116 1.4× | 62 0.9× | 65 1.7× | 21 | 279 | ||
| Yaroslav Parpaley Germany | 11 | 131 1.1× | 109 1.0× | 128 1.6× | 98 1.4× | 28 0.7× | 17 | 329 | ||
| Allen L. Ho United States | 14 | 167 1.4× | 281 2.6× | 109 1.3× | 195 2.8× | 33 0.8× | 23 | 442 | ||
| Jiwen Xu China | 10 | 147 1.3× | 69 0.6× | 92 1.1× | 81 1.2× | 30 0.8× | 24 | 305 | ||
| Padmaja Kandula United States | 8 | 70 0.6× | 156 1.5× | 59 0.7× | 100 1.4× | 13 0.3× | 11 | 284 | ||
| Sushma Goyal United Kingdom | 9 | 58 0.5× | 205 1.9× | 136 1.7× | 90 1.3× | 14 0.4× | 16 | 313 |
Countries citing papers authored by Mesha‐Gay Brown
This map shows the geographic impact of Mesha‐Gay Brown'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 Mesha‐Gay Brown with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mesha‐Gay Brown more than expected).
Fields of papers citing papers by Mesha‐Gay Brown
This network shows the impact of papers produced by Mesha‐Gay Brown. 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 Mesha‐Gay Brown. The network helps show where Mesha‐Gay Brown may publish in the future.
Co-authorship network of co-authors of Mesha‐Gay Brown
This figure shows the co-authorship network connecting the top 25 collaborators of Mesha‐Gay Brown. A scholar is included among the top collaborators of Mesha‐Gay Brown 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 Mesha‐Gay Brown. Mesha‐Gay Brown 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.