Neta Gotlieb
Impact in
- Health Informatics top 10%
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
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- Stress Responses and Cortisol 5
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- Liver Disease Diagnosis and Treatment 4
- Co-authors
- Lance J. Kriegsfeld (4 shared papers)Jacob Moeller (2 shared papers)Lee Shaashua (4 shared papers)Shamgar Ben‐Eliyahu (4 shared papers)Ella Rosenne (4 shared papers)Pini Matzner (4 shared papers)Liat Sorski (4 shared papers)Mamatha Bhat (3 shared papers)
- Journals
- Brain Behavior and Immunity (2 papers)npj Digital Medicine (2 papers)Endocrinology (1 paper)JMIR mhealth and uhealth (1 paper)Hepatology International (1 paper)
- Partner nations
- United StatesIsraelCanada
In The Last Decade
Neta Gotlieb
20 papers receiving 364 citations
Peers
Comparison fields: 5 of 100
- Health Informatics 12
- Transplantation 22
- Behavioral Neuroscience 26
- Endocrine and Autonomic Systems 32
- Health Information Management 20
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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 51 | |
| 2 | 2019 | 49 | |
| 3 | 2015 | 41 | |
| 4 | 2018 | 30 | |
| 5 | 2018 | 30 | |
| 6 | 2014 | 25 | |
| 7 | 2020 | 22 | |
| 8 | 2012 | 21 | |
| 9 | 2021 | 19 | |
| 10 | 2022 | 17 | |
| 11 | 2023 | 12 | |
| 12 | 2017 | 12 | |
| 13 | 2018 | 10 | |
| 14 | 2019 | 8 | |
| 15 | 2019 | 6 | |
| 16 | 2023 | 5 | |
| 17 | 2020 | 4 | |
| 18 | 2022 | 3 | |
| 19 | 2022 | 2 | |
| 20 | 2018 | 2 |
About Neta Gotlieb
Neta Gotlieb is a scholar working on Behavioral Neuroscience, Epidemiology, Hepatology, Surgery and Immunology, having authored 21 papers that have together received 369 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (5 papers), Liver Disease and Transplantation (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Organ Transplantation Techniques and Outcomes (4 papers), Cancer, Stress, Anesthesia, and Immune Response (3 papers), Chemokine receptors and signaling (2 papers), Renal Transplantation Outcomes and Treatments (2 papers) and Viral gastroenteritis research and epidemiology (2 papers). The work is most often cited by research in Health Informatics (12 citations), Transplantation (22 citations), Behavioral Neuroscience (26 citations), Endocrine and Autonomic Systems (32 citations) and Health Information Management (20 citations). Neta Gotlieb has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Lance J. Kriegsfeld, Jacob Moeller, Lee Shaashua, Shamgar Ben‐Eliyahu, Ella Rosenne, Pini Matzner, Liat Sorski, Mamatha Bhat, Divya Sharma and Sarah L. Master. Their work appears in journals such as Brain Behavior and Immunity, npj Digital Medicine, Endocrinology, JMIR mhealth and uhealth and Hepatology International.
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.