Shifa Jebari
Impact in
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- Natural Antidiabetic Agents Studies
- Diabetes Treatment and Management
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Diet, Metabolism, and Disease
- Drug Discovery top 5%
Papers in
- Surgery 8
- Lipoproteins and Cardiovascular Health 7
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- Glycosylation and Glycoproteins Research 1
- Metabolism, Diabetes, and Cancer 1
- Co-authors
- César Martı́n (9 shared papers)Kepa B. Uribe (8 shared papers)Unai Galicia-García (8 shared papers)Asier Benito‐Vicente (8 shared papers)Helena Ostolaza (7 shared papers)Asier Larrea‐Sebal (6 shared papers)Christoffer K. Goth (1 shared paper)Daniel B. Andersen (1 shared paper)
- Journals
- International Journal of Molecular Sciences (4 papers)Scientific Reports (2 papers)Nature Communications (1 paper)PLoS ONE (1 paper)Atherosclerosis (1 paper)
- Partner nations
- SpainUnited StatesItaly
In The Last Decade
Shifa Jebari
9 papers receiving 2.2k citations
Shifa Jebari's Hit Papers
Peers
Comparison fields: 5 of 123
- Endocrinology, Diabetes and Metabolism 683
- Drug Discovery 3
- Physiology 342
- Surgery 422
- Biochemistry 60
Countries citing papers authored by Shifa Jebari
This map shows the geographic impact of Shifa Jebari'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 Shifa Jebari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shifa Jebari more than expected).
Fields of papers citing papers by Shifa Jebari
This network shows the impact of papers produced by Shifa Jebari. 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 Shifa Jebari. The network helps show where Shifa Jebari may publish in the future.
Co-authors
The 25 scholars most cited alongside Shifa Jebari, 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 | Pathophysiology of Type 2 Diabetes Mellitus Hit paper breakdown → | 2020 | 1959 |
| 2 | 2020 | 99 | |
| 3 | 2018 | 94 | |
| 4 | 2020 | 53 | |
| 5 | 2018 | 38 | |
| 6 | 2020 | 26 | |
| 7 | 2019 | 19 | |
| 8 | 2018 | 5 | |
| 9 | 2018 | 1 |
About Shifa Jebari
Shifa Jebari is a scholar working on Surgery, Molecular Biology, Cellular and Molecular Neuroscience, Genetics and Oncology, having authored 9 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Glycosylation and Glycoproteins Research (1 paper), Peptidase Inhibition and Analysis (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Diabetes Treatment and Management (1 paper), Cancer, Lipids, and Metabolism (1 paper), Cell Adhesion Molecules Research (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (683 citations), Drug Discovery (3 citations), Physiology (342 citations), Surgery (422 citations) and Biochemistry (60 citations). Shifa Jebari has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include César Martı́n, Kepa B. Uribe, Unai Galicia-García, Asier Benito‐Vicente, Helena Ostolaza, Asier Larrea‐Sebal, Christoffer K. Goth, Daniel B. Andersen, Katrine T. Schjoldager and Tongzhong Ju. Their work appears in journals such as International Journal of Molecular Sciences, Scientific Reports, Nature Communications, PLoS ONE and Atherosclerosis.
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.