Daniela Mohr

10 total papers · 522 total citations
6 papers, 387 citations indexed

About

Daniela Mohr is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Daniela Mohr has authored 6 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cellular and Molecular Neuroscience, 3 papers in Molecular Biology and 2 papers in Physiology. Recurrent topics in Daniela Mohr's work include Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). Daniela Mohr is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (2 papers), Neuroscience and Neuropharmacology Research (2 papers) and Receptor Mechanisms and Signaling (2 papers). Daniela Mohr collaborates with scholars based in Germany, Switzerland and United States. Daniela Mohr's co-authors include Nicolas Doyon, Sophie Laffray, Francesco Ferrini, Jean‐Martin Beaulieu, Antoine G. Godin, Simon Beggs, Tuan Trang, Yves De Koninck, Thomas Del’Guidice and Wenbo Zhang and has published in prestigious journals such as Nature Neuroscience, Behavioural Brain Research and Neuroreport.

In The Last Decade

Daniela Mohr

4 papers receiving 376 citations

Author Peers

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

Author Last Decade Papers Cites
Daniela Mohr 229 208 127 87 28 6 387
Churmy Y. Fan 196 0.9× 101 0.5× 106 0.8× 48 0.6× 18 0.6× 8 341
YuShan Tu 206 0.9× 157 0.8× 145 1.1× 59 0.7× 9 0.3× 11 424
Yu-Wen Chang 241 1.1× 141 0.7× 83 0.7× 63 0.7× 22 0.8× 7 396
Kristina S. Vikman 244 1.1× 201 1.0× 141 1.1× 82 0.9× 6 0.2× 10 434
Kaizheng Duan 197 0.9× 149 0.7× 152 1.2× 28 0.3× 22 0.8× 11 421
Amanda S. Andriessen 217 0.9× 100 0.5× 108 0.9× 70 0.8× 22 0.8× 4 398
Elena Hill 237 1.0× 85 0.4× 39 0.3× 95 1.1× 24 0.9× 6 403
P. Cherkas 192 0.8× 194 0.9× 95 0.7× 71 0.8× 6 0.2× 5 373
Hillary Doyle 148 0.6× 141 0.7× 53 0.4× 66 0.8× 28 1.0× 8 358
Tayler D. Sheahan 227 1.0× 147 0.7× 81 0.6× 22 0.3× 10 0.4× 14 351

Countries citing papers authored by Daniela Mohr

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Mohr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Mohr

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