Neta Gotlieb

644 total citations
21 papers, 369 citations indexed

About

Neta Gotlieb is a scholar working on Behavioral Neuroscience, Epidemiology and Hepatology. According to data from OpenAlex, Neta Gotlieb has authored 21 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Behavioral Neuroscience, 5 papers in Epidemiology and 5 papers in Hepatology. Recurrent topics in Neta Gotlieb's work include Stress Responses and Cortisol (5 papers), Liver Disease and Transplantation (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Neta Gotlieb is often cited by papers focused on Stress Responses and Cortisol (5 papers), Liver Disease and Transplantation (5 papers) and Liver Disease Diagnosis and Treatment (4 papers). Neta Gotlieb collaborates with scholars based in United States, Israel and Canada. Neta Gotlieb's co-authors include Lance J. Kriegsfeld, Jacob Moeller, Pini Matzner, Liat Sorski, Shamgar Ben‐Eliyahu, Ella Rosenne, Lee Shaashua, Mamatha Bhat, Divya Sharma and Sarah L. Master and has published in prestigious journals such as Endocrinology, Journal of Hepatology and International Journal of Cancer.

In The Last Decade

Neta Gotlieb

20 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Neta Gotlieb United States 12 64 51 48 45 40 21 369
Sanae Tanaka Japan 12 42 0.7× 80 1.6× 28 0.6× 25 0.6× 35 0.9× 49 404
Shōichi Watanabe Japan 11 67 1.0× 32 0.6× 17 0.4× 24 0.5× 11 0.3× 35 304
L Mascaretti Italy 11 43 0.7× 83 1.6× 43 0.9× 66 1.5× 52 1.3× 49 631
Heather Bennett United States 10 65 1.0× 24 0.5× 30 0.6× 48 1.1× 7 0.2× 15 480
Brian C. Toy United States 15 129 2.0× 12 0.2× 16 0.3× 19 0.4× 40 1.0× 52 816
June Rogers United Kingdom 10 87 1.4× 106 2.1× 12 0.3× 74 1.6× 25 0.6× 44 677
Shir Azrielant Israel 8 38 0.6× 11 0.2× 23 0.5× 71 1.6× 13 0.3× 17 343
K Sakamoto Japan 11 26 0.4× 123 2.4× 22 0.5× 67 1.5× 47 1.2× 33 495
Helmut Pschera Sweden 12 41 0.6× 80 1.6× 28 0.6× 15 0.3× 72 1.8× 38 515
Hongqin Xu China 12 139 2.2× 28 0.5× 15 0.3× 19 0.4× 15 0.4× 31 502

Countries citing papers authored by Neta Gotlieb

Since Specialization
Citations

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

Fields of papers citing papers by Neta Gotlieb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neta Gotlieb

This figure shows the co-authorship network connecting the top 25 collaborators of Neta Gotlieb. A scholar is included among the top collaborators of Neta Gotlieb 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 Neta Gotlieb. Neta Gotlieb 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
2.
Gotlieb, Neta, Daniel M. Blumberger, Jordan F. Karp, et al.. (2023). Association between lean muscle mass and treatment-resistant late-life depression in the IRL-GRey randomized controlled trial. International Psychogeriatrics. 35(12). 707–716. 5 indexed citations
3.
Erickson, Elise N., Neta Gotlieb, Leonardo Pereira, et al.. (2023). Predicting labor onset relative to the estimated date of delivery using smart ring physiological data. npj Digital Medicine. 6(1). 153–153. 12 indexed citations
4.
Sharma, Divya, et al.. (2022). Application of machine learning in liver transplantation: a review. Hepatology International. 16(3). 495–508. 17 indexed citations
5.
Gotlieb, Neta, et al.. (2022). Impact of Chronic Prenatal Stress on Maternal Neuroendocrine Function and Embryo and Placenta Development During Early-to-Mid-Pregnancy in Mice. Frontiers in Physiology. 13. 886298–886298. 3 indexed citations
6.
Gotlieb, Neta, Offer Erez, Arnon Wiznitzer, et al.. (2022). Attentional networks during the menstrual cycle. Behavioural Brain Research. 425. 113817–113817. 2 indexed citations
7.
Gotlieb, Neta, Amirhossein Azhie, Divya Sharma, et al.. (2022). The promise of machine learning applications in solid organ transplantation. npj Digital Medicine. 5(1). 89–89. 51 indexed citations
8.
Sharma, Divya, Neta Gotlieb, Michael E. Farkouh, et al.. (2021). Machine Learning Approach to Classify Cardiovascular Disease in Patients With Nonalcoholic Fatty Liver Disease in the UK Biobank Cohort. Journal of the American Heart Association. 11(1). e022576–e022576. 19 indexed citations
9.
Gilad, Oded, Liane Rabinowich, Sharon Levy, et al.. (2020). Metabolic and Renal Effects of Mammalian Target of Rapamycin Inhibitors Treatment After Liver Transplantation: Real-Life Single-Center Experience. Transplantation Proceedings. 53(1). 221–227. 4 indexed citations
10.
Gotlieb, Neta, Naama Schwartz, Shira Zelber‐Sagi, et al.. (2020). Longitudinal decrease in platelet counts as a surrogate marker of liver fibrosis. World Journal of Gastroenterology. 26(38). 5849–5862. 22 indexed citations
11.
Master, Sarah L., Maria K. Eckstein, Neta Gotlieb, et al.. (2019). Disentangling the systems contributing to changes in learning during adolescence. Developmental Cognitive Neuroscience. 41. 100732–100732. 49 indexed citations
12.
Gotlieb, Neta, Darius Moradpour, & Daniel Shouval. (2019). Hepatitis A and E – Differences and commonalities. Journal of Hepatology. 72(3). 578–580. 8 indexed citations
13.
Gotlieb, Neta, et al.. (2019). Time‐of‐day‐dependent sensitivity of the reproductive axis to RFamide‐related peptide‐3 inhibition in female Syrian hamsters. Journal of Neuroendocrinology. 31(11). e12798–e12798. 6 indexed citations
14.
Gotlieb, Neta, Jacob Moeller, & Lance J. Kriegsfeld. (2018). Circadian control of neuroendocrine function: implications for health and disease. Current Opinion in Physiology. 5. 133–140. 30 indexed citations
16.
Wilsterman, Kathryn, Neta Gotlieb, Lance J. Kriegsfeld, & George E. Bentley. (2018). Pregnancy stage determines the effect of chronic stress on ovarian progesterone synthesis. American Journal of Physiology-Endocrinology and Metabolism. 315(5). E987–E994. 10 indexed citations
18.
Gotlieb, Neta, Lee Shaashua, Liat Sorski, et al.. (2017). Regeneration of Functional Adrenal Tissue Following Bilateral Adrenalectomy. Endocrinology. 159(1). 248–259. 12 indexed citations
19.
Gotlieb, Neta, Ella Rosenne, Pini Matzner, et al.. (2014). The misleading nature of in vitro and ex vivo findings in studying the impact of stress hormones on NK cell cytotoxicity. Brain Behavior and Immunity. 45. 277–286. 25 indexed citations
20.
Shaashua, Lee, Ella Rosenne, B. Levi, et al.. (2012). PGE2 suppresses NK activity in vivo directly and through adrenal hormones: Effects that cannot be reflected by ex vivo assessment of NK cytotoxicity. Brain Behavior and Immunity. 28. 128–138. 21 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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