Irina Esterlis

98 papers receiving 2.9k citations

Hit Papers

Lower synaptic density is associated with depression severity and network alterations 2019 · 323 citations
3230+2+4Years since publication100200300

Peers

Irina Esterlis
Comparison fields: 5 of 123
  • Biological Psychiatry 816
  • Behavioral Neuroscience 399
  • Cellular and Molecular Neuroscience 1.0k
  • Pharmacology 695
  • Cognitive Neuroscience 691
Replace James Doherty with:
James Doherty United States
Richard De La Garza United States
Colin N. Haile United States
Bashkim Kadriu United States
Felice Iasevoli Italy
Fokko J. Bosker Netherlands
Tetsuro Ohmori Japan
Vanja Đurić United States
Peter Zill Germany
Teruhiko Higuchi Japan
Irina Esterlis relative to James Doherty United States James Doherty's profile →
Citations per field
00.5×1.6×
James Doherty · 1×
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 101 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 →
2019323
2 2018160
3 2016148
4 2013140
5 2017117
6 2009111
7 2017108
8 200292
9 201291
10 201475
11 202067
12 201765
13 202161
14 201756
15 201855
16 201351
17 202250
18 201650
19 201148
20 201641

About Irina Esterlis

Irina Esterlis is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Pharmacology, Cognitive Neuroscience and Biological Psychiatry, having authored 101 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (33 papers), Nicotinic Acetylcholine Receptors Study (29 papers), Treatment of Major Depression (23 papers), Receptor Mechanisms and Signaling (20 papers), Tryptophan and brain disorders (19 papers), Functional Brain Connectivity Studies (18 papers), Stress Responses and Cortisol (12 papers) and Smoking Behavior and Cessation (11 papers). The work is most often cited by research in Biological Psychiatry (816 citations), Behavioral Neuroscience (399 citations), Cellular and Molecular Neuroscience (1.0k citations), Pharmacology (695 citations) and Cognitive Neuroscience (691 citations). Irina Esterlis has collaborated with scholars based in United States, Puerto Rico and Australia. Frequent co-authors include John H. Krystal, Richard E. Carson, Sophie Holmes, Robert H. Pietrzak, Gerard Sanacora, Nabeel Nabulsi, Nicole DellaGioia, Kelly Cosgrove, Margaret T. Davis and Chadi G. Abdallah. Their work appears in journals such as Biological Psychiatry, Neuropsychopharmacology, American Journal of Geriatric Psychiatry, Proceedings of the National Academy of Sciences and NeuroImage.

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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