Nada A. Abumrad
- Molecular Biology top 0.5%
- Physiology top 0.2%
- Surgery top 0.5%
- Epidemiology top 0.5%
- Endocrinology, Diabetes and Metabolism top 0.5%
- Co-authors
- Azeddine IbrahimiSamuel KleinTahar HajriEz‐Zoubir AmriXiong SuTerri PietkaPaola GrimaldiDmitri Samovski
- Topics
- Peroxisome Proliferator-Activated Receptors (80 papers)Adipose Tissue and Metabolism (51 papers)Metabolism, Diabetes, and Cancer (37 papers)
- Partner nations
- United StatesFranceCanada
In The Last Decade
Nada A. Abumrad
178 papers receiving 18.2k citations
Hit Papers
Peers
Comparison fields: 5 of 144
- Molecular Biology 9.5k
- Physiology 5.4k
- Surgery 3.2k
- Epidemiology 3.1k
- Endocrinology, Diabetes and Metabolism 2.4k
Countries citing papers authored by Nada A. Abumrad
This map shows the geographic impact of Nada A. Abumrad'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 Nada A. Abumrad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nada A. Abumrad more than expected).
Fields of papers citing papers by Nada A. Abumrad
This network shows the impact of papers produced by Nada A. Abumrad. 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 Nada A. Abumrad. The network helps show where Nada A. Abumrad may publish in the future.
Co-authorship network of co-authors of Nada A. Abumrad
This figure shows the co-authorship network connecting the top 25 collaborators of Nada A. Abumrad. A scholar is included among the top collaborators of Nada A. Abumrad 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 Nada A. Abumrad. Nada A. Abumrad is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 25 | |
| 5 | 13 | |
| 6 | 16 | |
| 7 | 62 | |
| 8 | Adipocyte-induced CD36 expression drives ovarian cancer progression and metastasisbreakdown → | 381 |
| 9 | 81 | |
| 10 | 83 | |
| 11 | 4 | |
| 12 | 82 | |
| 13 | 119 | |
| 14 | Intrahepatic fat, not visceral fat, is linked with metabolic complications of obesitybreakdown → | 762 |
| 15 | 123 | |
| 16 | 56 | |
| 17 | 20 | |
| 18 | 211 | |
| 19 | 132 | |
| 20 | Effect of HMB on fuel utilization, membrane stability and creatine kinase content of cultured muscle cells | 9 |
About Nada A. Abumrad
Nada A. Abumrad is a scholar working on Biochemistry, Physiology and Cancer Research, having authored 179 papers that have together received 18.4k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (80 papers), Adipose Tissue and Metabolism (51 papers) and Metabolism, Diabetes, and Cancer (37 papers). The work is most often cited by research in Biochemistry (2.3k citations), Physiology (5.4k citations) and Cancer Research (2.3k citations). Nada A. Abumrad has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Azeddine Ibrahimi, Samuel Klein, Tahar Hajri, Ez‐Zoubir Amri, Xiong Su, Terri Pietka, Paola Grimaldi, Dmitri Samovski, Chris T. Coburn and Ira J. Goldberg. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.