Shoshana Eitan

1.9k total citations
52 papers, 1.5k citations indexed

About

Shoshana Eitan is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Shoshana Eitan has authored 52 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cellular and Molecular Neuroscience, 15 papers in Molecular Biology and 15 papers in Physiology. Recurrent topics in Shoshana Eitan's work include Neurotransmitter Receptor Influence on Behavior (22 papers), Neuropeptides and Animal Physiology (15 papers) and Stress Responses and Cortisol (14 papers). Shoshana Eitan is often cited by papers focused on Neurotransmitter Receptor Influence on Behavior (22 papers), Neuropeptides and Animal Physiology (15 papers) and Stress Responses and Cortisol (14 papers). Shoshana Eitan collaborates with scholars based in United States, Israel and France. Shoshana Eitan's co-authors include Michal Schwartz, Paul J. Wellman, Christopher J. Evans, Rebecca S. Hofford, Camron D. Bryant, Michael A. Emery, Yu Chi Yang, Brigitte L. Kieffer, Hiroshi Takeshima and Kabirullah Lutfy and has published in prestigious journals such as Science, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Shoshana Eitan

52 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Shoshana Eitan United States 20 775 528 473 161 142 52 1.5k
Susan S. Kim United States 23 912 1.2× 868 1.6× 592 1.3× 116 0.7× 85 0.6× 56 2.4k
Xin Fang Canada 22 791 1.0× 1.2k 2.2× 745 1.6× 66 0.4× 141 1.0× 44 2.2k
Camron D. Bryant United States 22 746 1.0× 554 1.0× 682 1.4× 117 0.7× 157 1.1× 63 1.8k
Kenneth E. Miller United States 23 664 0.9× 729 1.4× 354 0.7× 66 0.4× 63 0.4× 63 1.7k
John K. Neubert United States 25 504 0.7× 1.3k 2.5× 379 0.8× 75 0.5× 59 0.4× 69 2.1k
Cláudia Herrera Tambeli Brazil 30 984 1.3× 1.6k 3.1× 477 1.0× 131 0.8× 64 0.5× 103 2.7k
Roberta Zanardini Italy 27 657 0.8× 339 0.6× 413 0.9× 278 1.7× 53 0.4× 45 2.2k
Robert P. Bonin Canada 24 1.0k 1.3× 854 1.6× 631 1.3× 203 1.3× 45 0.3× 44 2.3k
Luiz F. Ferrari United States 31 718 0.9× 1.2k 2.3× 580 1.2× 110 0.7× 50 0.4× 62 1.9k
Daigo Ikegami Japan 20 318 0.4× 414 0.8× 321 0.7× 86 0.5× 35 0.2× 31 1.2k

Countries citing papers authored by Shoshana Eitan

Since Specialization
Citations

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

Fields of papers citing papers by Shoshana Eitan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shoshana Eitan

This figure shows the co-authorship network connecting the top 25 collaborators of Shoshana Eitan. A scholar is included among the top collaborators of Shoshana Eitan 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 Shoshana Eitan. Shoshana Eitan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chapkin, Robert S., et al.. (2024). TCDD (2,3,7,8-tetrachlorodibenzo-p-dioxin) induces depression-like phenotype. NeuroToxicology. 103. 71–77. 3 indexed citations
2.
Safe, Stephen, et al.. (2023). Selective aryl hydrocarbon receptor modulators can act as antidepressants in obese female mice. Journal of Affective Disorders. 333. 409–419. 3 indexed citations
3.
Chen, Jingfan, et al.. (2022). Blood-brain barrier crossing using magnetic stimulated nanoparticles. Journal of Controlled Release. 345. 557–571. 52 indexed citations
4.
Landrock, Kerstin K., et al.. (2022). Intestinal epithelium aryl hydrocarbon receptor is involved in stress sensitivity and maintaining depressive symptoms. Behavioural Brain Research. 440. 114256–114256. 12 indexed citations
5.
Eitan, Shoshana, et al.. (2021). The self-serving benefits of being a good host: A role for our micro-inhabitants in shaping opioids’ function. Neuroscience & Biobehavioral Reviews. 127. 284–295. 6 indexed citations
6.
Arora, Meenakshi, et al.. (2020). Novel Oral Nanoparticle Formulation of Sustained Release Naloxone with Mild Withdrawal Symptoms in Mice. ACS Chemical Neuroscience. 11(13). 1955–1964. 12 indexed citations
7.
Eitan, Shoshana, et al.. (2020). Buprenorphine: prospective novel therapy for depression and PTSD. Psychological Medicine. 50(6). 881–893. 12 indexed citations
8.
Emery, Michael A. & Shoshana Eitan. (2019). Drug-specific differences in the ability of opioids to manage burn pain. Burns. 46(3). 503–513. 16 indexed citations
9.
Emery, Michael A., et al.. (2017). Hydrocodone is More Effective than Morphine or Oxycodone in Suppressing the Development of Burn-Induced Mechanical Allodynia. Pain Medicine. 18(11). 2170–2180. 11 indexed citations
10.
Emery, Michael A., et al.. (2015). Differential Effects of Oxycodone, Hydrocodone, and Morphine on Activation Levels of Signaling Molecules. Pain Medicine. 17(5). 908–914. 17 indexed citations
11.
Emery, Michael A., et al.. (2014). Social housing conditions influence morphine dependence and the extinction of morphine place preference in adolescent mice. Drug and Alcohol Dependence. 142. 283–289. 14 indexed citations
12.
Rodriguez, Juan A., Samuel C. Hughes, Shoshana Eitan, et al.. (2011). Attenuation of cocaine‐induced locomotor sensitization in rats sustaining genetic or pharmacologic antagonism of ghrelin receptors. Addiction Biology. 17(6). 956–963. 62 indexed citations
13.
Hofford, Rebecca S., et al.. (2011). Social influences on morphine sensitization in adolescent rats. Addiction Biology. 17(3). 547–556. 19 indexed citations
14.
Hofford, Rebecca S., Paul J. Wellman, & Shoshana Eitan. (2010). Social influences on plasma testosterone levels in morphine withdrawn adolescent mice and their drug-naïve cage-mates. Psychoneuroendocrinology. 36(5). 728–736. 12 indexed citations
15.
Hofford, Rebecca S., et al.. (2010). Socially induced morphine pseudosensitization in adolescent mice. Behavioural Pharmacology. 21(2). 112–120. 24 indexed citations
16.
Hofford, Rebecca S., et al.. (2008). Increased elevated plus maze open-arm time in mice during spontaneous morphine withdrawal. Behavioural Brain Research. 197(2). 454–456. 30 indexed citations
17.
Hofford, Rebecca S., et al.. (2008). Increased elevated plus maze open-arm time in mice during naloxone-precipitated morphine withdrawal. Behavioural Pharmacology. 19(8). 805–811. 27 indexed citations
18.
Bryant, Camron D., Shoshana Eitan, Kevin Sinchak, Michael S. Fanselow, & Christopher J. Evans. (2006). NMDA receptor antagonism disrupts the development of morphine analgesic tolerance in male, but not female C57BL/6J mice. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 291(2). R315–R326. 61 indexed citations
19.
Eizenberg, Orly, Michael G. Kaplitt, Shoshana Eitan, et al.. (1994). Linear dimeric interleukin-2 obtained by the use of a defective herpes simplex viral vector: conformation-activity relationship. Molecular Brain Research. 26(1-2). 156–162. 2 indexed citations
20.
Eitan, Shoshana, et al.. (1993). Astrocytes play a major role in the control of neuronal proliferation in vitro. Brain Research. 629(2). 199–208. 23 indexed citations

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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