Philipp Mews

35 total papers · 1.6k total citations
19 papers, 813 citations indexed

About

Philipp Mews is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biological Psychiatry. According to data from OpenAlex, Philipp Mews has authored 19 papers receiving a total of 813 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 4 papers in Biological Psychiatry. Recurrent topics in Philipp Mews's work include Neurotransmitter Receptor Influence on Behavior (6 papers), Epigenetics and DNA Methylation (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Philipp Mews is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (6 papers), Epigenetics and DNA Methylation (6 papers) and Neuroscience and Neuropharmacology Research (6 papers). Philipp Mews collaborates with scholars based in United States, Russia and Canada. Philipp Mews's co-authors include Shelley L. Berger, Greg Donahue, Ted Abel, Vincent Luczak, Adam Drake, Eric J. Nestler, Benjamin A. García, Simone Sidoli, Erin S. Calipari and Gabor Egervári and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Philipp Mews

17 papers receiving 810 citations

Author Peers

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

Author Last Decade Papers Cites
Philipp Mews 554 134 124 117 79 19 813
Keith Q. Tanis 350 0.6× 186 1.4× 162 1.3× 56 0.5× 65 0.8× 34 943
Guo Zhang 407 0.7× 238 1.8× 91 0.7× 158 1.4× 63 0.8× 20 1.0k
Dustin R. Masser 601 1.1× 215 1.6× 110 0.9× 77 0.7× 162 2.1× 22 1.0k
Sabine Traver 571 1.0× 93 0.7× 167 1.3× 137 1.2× 106 1.3× 20 976
Derek Drake 506 0.9× 257 1.9× 167 1.3× 78 0.7× 122 1.5× 11 901
Sahithi Attaluri 525 0.9× 123 0.9× 152 1.2× 135 1.2× 54 0.7× 24 995
Sara R. Guariglia 302 0.5× 78 0.6× 152 1.2× 79 0.7× 87 1.1× 23 781
Tomoyasu Wakuda 279 0.5× 144 1.1× 138 1.1× 102 0.9× 236 3.0× 21 914
Karin Weigelt 407 0.7× 48 0.4× 80 0.6× 130 1.1× 80 1.0× 18 831
Carol L. Zielke 573 1.0× 149 1.1× 275 2.2× 54 0.5× 101 1.3× 26 1.0k

Countries citing papers authored by Philipp Mews

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Mews

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Mews

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