Stephanie G. Ijames

19 total papers · 814 total citations
15 papers, 649 citations indexed

About

Stephanie G. Ijames is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Stephanie G. Ijames has authored 15 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 8 papers in Molecular Biology and 7 papers in Physiology. Recurrent topics in Stephanie G. Ijames's work include Neuropeptides and Animal Physiology (8 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Pain Mechanisms and Treatments (5 papers). Stephanie G. Ijames is often cited by papers focused on Neuropeptides and Animal Physiology (8 papers), Neurotransmitter Receptor Influence on Behavior (5 papers) and Pain Mechanisms and Treatments (5 papers). Stephanie G. Ijames collaborates with scholars based in United States and United Kingdom. Stephanie G. Ijames's co-authors include Regina M. Carelli, Donald T. Lysle, Jonathan A. Hollander, Farid Ahmed, Gordon P. Flake, Dennis R. Sinar, Wade Naziri, Paul Vos, Ron R. Allison and Stefan P. Marcuard and has published in prestigious journals such as Journal of Neuroscience, Brain Research and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Stephanie G. Ijames

15 papers receiving 632 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 G. Ijames 460 244 173 74 65 15 649
Juan Carlos Pineda 414 0.9× 270 1.1× 177 1.0× 62 0.8× 47 0.7× 25 644
Michele L. Simmons 629 1.4× 439 1.8× 132 0.8× 84 1.1× 49 0.8× 11 763
Jacques Peretti 425 0.9× 354 1.5× 79 0.5× 57 0.8× 59 0.9× 19 748
Samuel J. Dienel 282 0.6× 202 0.8× 311 1.8× 60 0.8× 102 1.6× 22 765
Matthew D. Puhl 338 0.7× 253 1.0× 196 1.1× 61 0.8× 63 1.0× 19 748
Abhiram Pushparaj 450 1.0× 294 1.2× 252 1.5× 137 1.9× 73 1.1× 22 770
Susan E. Bachus 369 0.8× 216 0.9× 123 0.7× 63 0.9× 77 1.2× 24 630
Armando G. Salinas 395 0.9× 213 0.9× 199 1.2× 105 1.4× 33 0.5× 21 739
G Ellison 458 1.0× 287 1.2× 207 1.2× 46 0.6× 127 2.0× 22 788
M. Kodsi 457 1.0× 192 0.8× 246 1.4× 33 0.4× 43 0.7× 15 645

Countries citing papers authored by Stephanie G. Ijames

Since Specialization
Citations

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

Fields of papers citing papers by Stephanie G. Ijames

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephanie G. Ijames. 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 G. Ijames. The network helps show where Stephanie G. Ijames may publish in the future.

Co-authorship network of co-authors of Stephanie G. Ijames

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