Jennifer Brielmaier

26 total papers · 711 total citations
12 papers, 582 citations indexed

About

Jennifer Brielmaier is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Social Psychology. According to data from OpenAlex, Jennifer Brielmaier has authored 12 papers receiving a total of 582 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 3 papers in Social Psychology. Recurrent topics in Jennifer Brielmaier's work include Neurotransmitter Receptor Influence on Behavior (5 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Congenital heart defects research (3 papers). Jennifer Brielmaier is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (5 papers), Nicotinic Acetylcholine Receptors Study (4 papers) and Congenital heart defects research (3 papers). Jennifer Brielmaier collaborates with scholars based in United States and Czechia. Jennifer Brielmaier's co-authors include Craig G. McDonald, Robert F. Smith, Hadley C. Bergstrom, Robert F. Smith, Daniel G. Ehlinger, Emanuel DiCicco‐Bloom, James H. Millonig, Paul G. Matteson, Jill L. Silverman and Matthieu Genestine and has published in prestigious journals such as PLoS ONE, Brain Research and Neuroscience & Biobehavioral Reviews.

In The Last Decade

Jennifer Brielmaier

11 papers receiving 574 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Brielmaier 258 242 159 134 104 12 582
Sara Cabrera 202 0.8× 185 0.8× 152 1.0× 77 0.6× 103 1.0× 7 556
Kevin B. Baker 160 0.6× 233 1.0× 258 1.6× 61 0.5× 122 1.2× 9 612
Sandy Popp 195 0.8× 231 1.0× 146 0.9× 61 0.5× 86 0.8× 24 633
Imran Alibhai 307 1.2× 366 1.5× 89 0.6× 88 0.7× 86 0.8× 11 681
Daniel Beis 177 0.7× 244 1.0× 99 0.6× 63 0.5× 52 0.5× 10 602
Andrea Heyne 155 0.6× 366 1.5× 92 0.6× 56 0.4× 67 0.6× 17 594
Jiun Youn 135 0.5× 175 0.7× 128 0.8× 61 0.5× 80 0.8× 9 548
Daniel Montoya 166 0.6× 283 1.2× 145 0.9× 74 0.6× 120 1.2× 11 625
Lara M. Boyle 124 0.5× 210 0.9× 208 1.3× 167 1.2× 41 0.4× 10 696
Brice Le François 271 1.1× 284 1.2× 77 0.5× 63 0.5× 69 0.7× 17 657

Countries citing papers authored by Jennifer Brielmaier

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Brielmaier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Brielmaier

This figure shows the co-authorship network connecting the top 25 collaborators of Jennifer Brielmaier. A scholar is included among the top collaborators of Jennifer Brielmaier 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 Jennifer Brielmaier. Jennifer Brielmaier 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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