Irina Esterlis

104 papers receiving 3.6k citations

Irina Esterlis's Hit Papers

Lower synaptic density is associated with depression severity and network alterations 2019 · 375 citations
3750+2+4Years since publication100200300

Peers

Irina Esterlis
Comparison fields: 5 of 113
  • Biological Psychiatry 154
  • Behavioral Neuroscience 191
  • Pharmacology 886
  • Cellular and Molecular Neuroscience 656
  • Neurology 236
Replace Richard De La Garza with:
Richard De La Garza United States
Gregory M. Sullivan United States
Peter S. Talbot United Kingdom
Katherine Anne Collins United States
JUSTINE M. KENT United States
Christoph Kraus Austria
Weihong Kuang China
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Citations per year

Countries citing papers authored by Irina Esterlis

Since Specialization
Citations

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

Fields of papers citing papers by Irina Esterlis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Irina Esterlis, 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 Irina Esterlis Line = papers co-authored together Irina Esterlis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 116 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Lower synaptic density is associated with depression severity and network alterations
Hit paper breakdown →
2019375
2 2018187
3 2016168
4 2013160
5 2017130
6 2017126
7 2009124
8 2017112
9 2012101
10 200294
11 201992
12 201488
13 202083
14 201777
15 202175
16 201667
17 201765
18 201861
19 202258
20 201154

About Irina Esterlis

Irina Esterlis is a scholar working on Cellular and Molecular Neuroscience, Pharmacology, Clinical Psychology, Physiology and Psychiatry and Mental health, having authored 116 papers that have together received 3.7k indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (23 papers), Treatment of Major Depression (23 papers), Neuroscience and Neuropharmacology Research (20 papers), Smoking Behavior and Cessation (16 papers), Neurotransmitter Receptor Influence on Behavior (13 papers), Medical Imaging Techniques and Applications (11 papers), Posttraumatic Stress Disorder Research (11 papers) and Dementia and Cognitive Impairment Research (7 papers). The work is most often cited by research in Biological Psychiatry (154 citations), Behavioral Neuroscience (191 citations), Pharmacology (886 citations), Cellular and Molecular Neuroscience (656 citations) and Neurology (236 citations). Irina Esterlis has collaborated with scholars based in United States, Australia and Ukraine. Frequent co-authors include John Harrison Krystal, Richard E. Carson, Sophie E. Holmes, Robert H. Pietrzak, Gerard Sanacora, Nabeel Nabulsi, Nicole DellaGioia, Kelly Cosgrove, Margaret Taylor Davis and Chadi G. Abdallah. Their work appears in journals such as Biological Psychiatry, Neuropsychopharmacology, American Journal of Geriatric Psychiatry, Molecular Psychiatry and Journal of Nuclear Medicine.

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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