Maria Ironside

53 total papers · 968 total citations
29 papers, 567 citations indexed

About

Maria Ironside is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Behavioral Neuroscience. According to data from OpenAlex, Maria Ironside has authored 29 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 15 papers in Experimental and Cognitive Psychology and 9 papers in Behavioral Neuroscience. Recurrent topics in Maria Ironside's work include Stress Responses and Cortisol (9 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers) and Neural and Behavioral Psychology Studies (8 papers). Maria Ironside is often cited by papers focused on Stress Responses and Cortisol (9 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (9 papers) and Neural and Behavioral Psychology Studies (8 papers). Maria Ironside collaborates with scholars based in United States, United Kingdom and Japan. Maria Ironside's co-authors include Jacinta O’Shea, Diego A. Pizzagalli, Catherine J. Harmer, Min Su Kang, Philip J. Cowen, Poornima Kumar, Ann M. Graybiel, Mads L. Pedersen, Ken‐ichi Amemori and Christopher‐James Harvey and has published in prestigious journals such as SHILAP Revista de lepidopterología, American Journal of Psychiatry and Biological Psychiatry.

In The Last Decade

Maria Ironside

27 papers receiving 558 citations

Author Peers

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

Author Last Decade Papers Cites
Maria Ironside 296 178 161 106 76 29 567
W Schmitt 267 0.9× 138 0.8× 207 1.3× 95 0.9× 167 2.2× 32 647
Huirong Zheng 264 0.9× 129 0.7× 117 0.7× 180 1.7× 70 0.9× 26 619
Krista Wisner 314 1.1× 77 0.4× 117 0.7× 58 0.5× 152 2.0× 31 566
Elena Makovac 311 1.1× 97 0.5× 226 1.4× 69 0.7× 114 1.5× 19 623
Jonathan Repple 296 1.0× 55 0.3× 167 1.0× 135 1.3× 127 1.7× 45 644
Jaryd Hiser 390 1.3× 62 0.3× 164 1.0× 135 1.3× 114 1.5× 10 690
Anne Guhn 332 1.1× 60 0.3× 310 1.9× 160 1.5× 120 1.6× 28 657
Manfred Klöbl 332 1.1× 80 0.4× 109 0.7× 70 0.7× 122 1.6× 42 622
Nicola Großheinrich 358 1.2× 278 1.6× 83 0.5× 120 1.1× 111 1.5× 31 648
Michael Woletz 426 1.4× 165 0.9× 115 0.7× 46 0.4× 49 0.6× 40 605

Countries citing papers authored by Maria Ironside

Since Specialization
Citations

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

Fields of papers citing papers by Maria Ironside

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maria Ironside

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