M. Elizabeth Marder
About
In The Last Decade
M. Elizabeth Marder
21 papers receiving 933 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 | |||||
|---|---|---|---|---|---|---|---|---|---|---|
| M. Elizabeth Marder United States | 15 | 514 | 261 | 103 | 95 | 89 | 21 | 951 | ||
| Rosa Mercadante Italy | 21 | 401 0.8× | 142 0.5× | 68 0.7× | 77 0.8× | 95 1.1× | 49 | 1.0k | ||
| Dasheng Lu China | 24 | 697 1.4× | 244 0.9× | 77 0.7× | 48 0.5× | 126 1.4× | 65 | 1.3k | ||
| Chao Feng China | 20 | 648 1.3× | 134 0.5× | 71 0.7× | 68 0.7× | 130 1.5× | 54 | 1.2k | ||
| Núria Monfort Spain | 18 | 699 1.4× | 101 0.4× | 119 1.2× | 28 0.3× | 59 0.7× | 41 | 1.2k | ||
| Elisa Polledri Italy | 21 | 387 0.8× | 158 0.6× | 32 0.3× | 80 0.8× | 86 1.0× | 65 | 1.0k | ||
| Hasmik Grigoryan United States | 21 | 455 0.9× | 468 1.8× | 102 1.0× | 152 1.6× | 49 0.6× | 37 | 1.1k | ||
| Tue Søeborg Denmark | 16 | 335 0.7× | 174 0.7× | 31 0.3× | 83 0.9× | 34 0.4× | 24 | 1.1k | ||
| Shanlei Qiao China | 14 | 322 0.6× | 301 1.2× | 45 0.4× | 86 0.9× | 37 0.4× | 28 | 857 | ||
| Satoshi Takatori Japan | 14 | 608 1.2× | 169 0.6× | 82 0.8× | 21 0.2× | 174 2.0× | 43 | 1.1k | ||
| Ilse Van Overmeire Belgium | 21 | 546 1.1× | 168 0.6× | 30 0.3× | 36 0.4× | 89 1.0× | 43 | 983 |
Countries citing papers authored by M. Elizabeth Marder
This map shows the geographic impact of M. Elizabeth Marder'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 M. Elizabeth Marder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Elizabeth Marder more than expected).
Fields of papers citing papers by M. Elizabeth Marder
This network shows the impact of papers produced by M. Elizabeth Marder. 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 M. Elizabeth Marder. The network helps show where M. Elizabeth Marder may publish in the future.
Co-authorship network of co-authors of M. Elizabeth Marder
This figure shows the co-authorship network connecting the top 25 collaborators of M. Elizabeth Marder. A scholar is included among the top collaborators of M. Elizabeth Marder 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 M. Elizabeth Marder. M. Elizabeth Marder 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.