Neta Gotlieb
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
- Hepatology top 10%
- Liver Diseases and Immunity
Papers in
-
- Liver Disease and Transplantation 2
-
- Artificial Intelligence in Healthcare 4
- Co-authors
- Lance J. Kriegsfeld (5 shared papers)Jacob Moeller (3 shared papers)Mamatha Bhat (3 shared papers)Divya Sharma (3 shared papers)Shamgar Ben‐Eliyahu (4 shared papers)Liat Sorski (4 shared papers)Lee Shaashua (4 shared papers)Ella Rosenne (4 shared papers)
- Journals
- Brain Behavior and Immunity (2 papers)npj Digital Medicine (2 papers)Behavioural Brain Research (1 paper)Journal of the American Heart Association (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Neta Gotlieb
24 papers receiving 470 citations
Peers
Comparison fields: 5 of 83
- Health Informatics 27
- Hepatology 65
- Behavioral Neuroscience 17
- Endocrine and Autonomic Systems 25
- Health Information Management 36
Countries citing papers authored by Neta Gotlieb
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
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-authors
The 25 scholars most cited alongside Neta Gotlieb, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 66 | |
| 2 | 2019 | 60 | |
| 3 | 2015 | 44 | |
| 4 | 2020 | 42 | |
| 5 | 2018 | 35 | |
| 6 | 2018 | 34 | |
| 7 | 2021 | 26 | |
| 8 | 2014 | 25 | |
| 9 | 2020 | 25 | |
| 10 | 2012 | 22 | |
| 11 | 2022 | 20 | |
| 12 | 2023 | 15 | |
| 13 | 2017 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2018 | 11 | |
| 16 | 2020 | 9 | |
| 17 | 2019 | 6 | |
| 18 | 2023 | 5 | |
| 19 | 2020 | 4 | |
| 20 | 2022 | 4 |
About Neta Gotlieb
Neta Gotlieb is a scholar working on Hepatology, Health Information Management, Behavioral Neuroscience, Reproductive Medicine and Health Informatics, having authored 25 papers that have together received 486 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (4 papers), Organ Transplantation Techniques and Outcomes (3 papers), Stress Responses and Cortisol (3 papers), Hypothalamic control of reproductive hormones (2 papers), Artificial Intelligence in Healthcare and Education (2 papers), Circadian rhythm and melatonin (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Liver Disease and Transplantation (2 papers). The work is most often cited by research in Health Informatics (27 citations), Hepatology (65 citations), Behavioral Neuroscience (17 citations), Endocrine and Autonomic Systems (25 citations) and Health Information Management (36 citations). Neta Gotlieb has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Lance J. Kriegsfeld, Jacob Moeller, Mamatha Bhat, Divya Sharma, Shamgar Ben‐Eliyahu, Liat Sorski, Lee Shaashua, Ella Rosenne, Pini Matzner and Sarah L. Master. Their work appears in journals such as Brain Behavior and Immunity, npj Digital Medicine, Behavioural Brain Research, Journal of the American Heart Association and Journal of Hepatology.
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.