Stephanie Geuns-Meyer

33 total papers · 763 total citations
10 papers, 172 citations indexed

About

Stephanie Geuns-Meyer is a scholar working on Oncology, Cellular and Molecular Neuroscience and Sensory Systems. According to data from OpenAlex, Stephanie Geuns-Meyer has authored 10 papers receiving a total of 172 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Oncology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Sensory Systems. Recurrent topics in Stephanie Geuns-Meyer's work include Neurobiology and Insect Physiology Research (3 papers), Ion Channels and Receptors (3 papers) and Cancer-related Molecular Pathways (2 papers). Stephanie Geuns-Meyer is often cited by papers focused on Neurobiology and Insect Physiology Research (3 papers), Ion Channels and Receptors (3 papers) and Cancer-related Molecular Pathways (2 papers). Stephanie Geuns-Meyer collaborates with scholars based in United States and China. Stephanie Geuns-Meyer's co-authors include Laurie B. Schenkel, John Eksterowicz, Yaxiong Sun, Alan C. Cheng, Philip R. Olivieri, Sonya G. Lehto, Renee Emkey, Hakan Günaydin, Beth D. Youngblood and Narender R. Gavva and has published in prestigious journals such as Blood, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Stephanie Geuns-Meyer

10 papers receiving 162 citations

Author Peers

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

Author Last Decade Papers Cites
Stephanie Geuns-Meyer 61 58 40 29 25 10 172
Josie H. Lee 80 1.3× 27 0.5× 48 1.2× 15 0.5× 29 1.2× 8 168
Markian M. Stec 80 1.3× 85 1.5× 77 1.9× 8 0.3× 22 0.9× 10 250
Matteo Lo Monte 90 1.5× 43 0.7× 21 0.5× 9 0.3× 22 0.9× 9 238
Graham C. Bloomfield 83 1.4× 53 0.9× 65 1.6× 10 0.3× 15 0.6× 6 234
Shimin Xu 78 1.3× 39 0.7× 141 3.5× 17 0.6× 11 0.4× 13 248
Min Wong 195 3.2× 50 0.9× 27 0.7× 9 0.3× 26 1.0× 10 269
Judith F. Baker 99 1.6× 64 1.1× 22 0.6× 3 0.1× 46 1.8× 5 218
Muneto Mogi 136 2.2× 14 0.2× 29 0.7× 9 0.3× 31 1.2× 18 257
Matthew R. Kaller 48 0.8× 18 0.3× 100 2.5× 23 0.8× 7 0.3× 8 164
Edward J. Brnardic 64 1.0× 75 1.3× 25 0.6× 8 0.3× 26 1.0× 6 161

Countries citing papers authored by Stephanie Geuns-Meyer

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie Geuns-Meyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie Geuns-Meyer. 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 Stephanie Geuns-Meyer. The network helps show where Stephanie Geuns-Meyer may publish in the future.

Co-authorship network of co-authors of Stephanie Geuns-Meyer

This figure shows the co-authorship network connecting the top 25 collaborators of Stephanie Geuns-Meyer. A scholar is included among the top collaborators of Stephanie Geuns-Meyer 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 Stephanie Geuns-Meyer. Stephanie Geuns-Meyer 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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