Marisa Dreher

26 total papers · 2.6k total citations
4 papers, 250 citations indexed

About

Marisa Dreher is a scholar working on Cellular and Molecular Neuroscience, Ecology, Evolution, Behavior and Systematics and Cognitive Neuroscience. According to data from OpenAlex, Marisa Dreher has authored 4 papers receiving a total of 250 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 2 papers in Ecology, Evolution, Behavior and Systematics and 2 papers in Cognitive Neuroscience. Recurrent topics in Marisa Dreher's work include Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Animal Behavior and Reproduction (2 papers). Marisa Dreher is often cited by papers focused on Neurobiology and Insect Physiology Research (4 papers), Insect and Arachnid Ecology and Behavior (2 papers) and Animal Behavior and Reproduction (2 papers). Marisa Dreher collaborates with scholars based in United States. Marisa Dreher's co-authors include Gerald M. Rubin, Ruchi Parekh, Romain Franconville, Tanya Wolff, Marcella Noorman, Chuntao Dan, Shin-ya Takemura, Brad K. Hulse, Ann M. Hermundstad and Vivek Jayaraman and has published in prestigious journals such as Nature and eLife.

In The Last Decade

Marisa Dreher

4 papers receiving 249 citations

Hit Papers

A connectome of the Droso... 2021 2026 2022 2024 2021 50 100 150

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marisa Dreher 195 117 78 56 29 4 250
Hannah Haberkern 228 1.2× 125 1.1× 79 1.0× 70 1.3× 37 1.3× 9 329
Neeli Mishra 198 1.0× 87 0.7× 79 1.0× 29 0.5× 33 1.1× 4 239
Bruno Afonso 210 1.1× 86 0.7× 67 0.9× 29 0.5× 36 1.2× 7 266
Amelia Edmondson-Stait 223 1.1× 97 0.8× 63 0.8× 56 1.0× 22 0.8× 10 285
Markus William Pleijzier 215 1.1× 86 0.7× 63 0.8× 47 0.8× 24 0.8× 4 239
Marcella Noorman 155 0.8× 89 0.8× 50 0.6× 51 0.9× 28 1.0× 9 231
Mai M Morimoto 221 1.1× 98 0.8× 94 1.2× 57 1.0× 16 0.6× 7 254
Nikolas Drummond 214 1.1× 109 0.9× 73 0.9× 36 0.6× 22 0.8× 4 244
Ruairí J.V. Roberts 230 1.2× 113 1.0× 96 1.2× 31 0.6× 18 0.6× 6 305
Imaan FM Tamimi 211 1.1× 109 0.9× 73 0.9× 27 0.5× 22 0.8× 3 235

Countries citing papers authored by Marisa Dreher

Since Specialization
Citations

This map shows the geographic impact of Marisa Dreher'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 Marisa Dreher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisa Dreher more than expected).

Fields of papers citing papers by Marisa Dreher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marisa Dreher. 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 Marisa Dreher. The network helps show where Marisa Dreher may publish in the future.

Co-authorship network of co-authors of Marisa Dreher

This figure shows the co-authorship network connecting the top 25 collaborators of Marisa Dreher. A scholar is included among the top collaborators of Marisa Dreher 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 Marisa Dreher. Marisa Dreher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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.

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