Karen E. Muñoz

13 papers receiving 3.2k citations

Karen E. Muñoz's Hit Papers

5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression 2005 · 1.6k citations
1.6k0+7+14Years since publication50010001.5k

Peers

Karen E. Muñoz
Comparison fields: 5 of 101
  • Behavioral Neuroscience 535
  • Biological Psychiatry 180
  • Developmental Neuroscience 240
  • Cognitive Neuroscience 1.1k
  • Experimental and Cognitive Psychology 770
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Countries citing papers authored by Karen E. Muñoz

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. Muñoz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Karen E. Muñoz. 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 Karen E. Muñoz. The network helps show where Karen E. Muñoz may publish in the future.

Co-authors

The 25 scholars most cited alongside Karen E. Muñoz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karen E. Muñoz Line = papers co-authored together Karen E. Muñoz links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
5-HTTLPR polymorphism impacts human cingulate-amygdala interactions: a genetic susceptibility mechanism for depression
Hit paper breakdown →
20051614
2 2005690
3 2006321
4 2005295
5 2012155
6 2009130
7 200732
8 200930
9 200813
10 200911
11 200310
12
Transactional Sex: A Client's Perspective from Peru
20131
13 20251
14
Revisiting the condom riddle: Solutions and implications
20140

About Karen E. Muñoz

Karen E. Muñoz is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience, Experimental and Cognitive Psychology, Cognitive Neuroscience and Clinical Psychology, having authored 14 papers that have together received 3.3k indexed citations. Recurring topics across this work include Williams Syndrome Research (2 papers), Neural and Behavioral Psychology Studies (2 papers), Sex work and related issues (2 papers), Child and Adolescent Psychosocial and Emotional Development (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Cognitive Abilities and Testing (2 papers), Nuclear Receptors and Signaling (2 papers) and Genetic Associations and Epidemiology (2 papers). The work is most often cited by research in Behavioral Neuroscience (535 citations), Biological Psychiatry (180 citations), Developmental Neuroscience (240 citations), Cognitive Neuroscience (1.1k citations) and Experimental and Cognitive Psychology (770 citations). Karen E. Muñoz has collaborated with scholars based in United States, Japan and Slovakia. Frequent co-authors include Venkata S. Mattay, Daniel R. Weinberger, Emily M. Drabant, Bhaskar S. Kolachana, Michael F. Egan, Ahmad R. Hariri, Andreas Meyer‐Lindenberg, Beth A. Verchinski, Lukas Pezawas and Ahmad Hariri. Their work appears in journals such as Nature Neuroscience, Genes Brain & Behavior, Journal of the American Academy of Child & Adolescent Psychiatry, American Journal of Medical Genetics Part C Seminars in Medical Genetics and Hepatology Communications.

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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