Maya Margalit
Impact in
- Hepatology top 5%
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
Papers in
- Epidemiology 20
- Liver Disease Diagnosis and Treatment 16
- Immunology 12
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 8
- Co-authors
- Yaron IlanElazar RabbaniDean EngelhardtOrit PappoHank MansbachRohit LoombaR. AlperJuan P. Frías
- Journals
- Journal of Hepatology (9 papers)Hepatology (5 papers)Metabolism (3 papers)Journal of Pharmacology and Experimental Therapeutics (2 papers)Gut (2 papers)
- Partner nations
- IsraelUnited StatesUnited Kingdom
In The Last Decade
Maya Margalit
43 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Hepatology 123
- Immunology 317
- Epidemiology 508
- Endocrinology, Diabetes and Metabolism 212
- Cell Biology 107
Countries citing papers authored by Maya Margalit
This map shows the geographic impact of Maya Margalit'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 Maya Margalit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Margalit more than expected).
Fields of papers citing papers by Maya Margalit
This network shows the impact of papers produced by Maya Margalit. 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 Maya Margalit. The network helps show where Maya Margalit may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maya Margalit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 8 | |
| 5 | 2023 | 1 | |
| 6 | 2023 | 16 | |
| 7 | Randomized, Controlled Trial of the FGF21 Analogue Pegozafermin in NASH Hit paper breakdown → | 2023 | 271 |
| 8 | 2022 | 72 | |
| 9 | 2020 | 4 | |
| 10 | 2020 | 1 | |
| 11 | 2007 | 35 | |
| 12 | 2006 | 81 | |
| 13 | 2006 | 93 | |
| 14 | 2005 | 42 | |
| 15 | 2005 | 16 | |
| 16 | 2005 | 34 | |
| 17 | 2005 | 62 | |
| 18 | 2004 | 7 | |
| 19 | 2003 | 35 | |
| 20 | 2001 | 25 |
About Maya Margalit
Maya Margalit is a scholar working on Epidemiology, Immunology, Complementary and Manual Therapy, Hepatology and Hematology, having authored 46 papers that have together received 1.1k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (16 papers), Fibroblast Growth Factor Research (14 papers), Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (8 papers), Pancreatitis Pathology and Treatment (5 papers), Diet, Metabolism, and Disease (4 papers), Hematopoietic Stem Cell Transplantation (4 papers) and Pancreatic function and diabetes (4 papers). The work is most often cited by research in Hepatology (123 citations), Immunology (317 citations), Epidemiology (508 citations), Endocrinology, Diabetes and Metabolism (212 citations) and Cell Biology (107 citations). Maya Margalit has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Yaron Ilan, Elazar Rabbani, Dean Engelhardt, Orit Pappo, Hank Mansbach, Rohit Loomba, R. Alper, Juan P. Frías, Barbara Thalenfeld and Eran Elinav. Their work appears in journals such as Journal of Hepatology, Hepatology, Metabolism, Journal of Pharmacology and Experimental Therapeutics and Gut.
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.