Laure El ghormli
- Molecular Biology
- Genetics top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Public Health, Environmental and Occupational Health top 5%
- Surgery top 10%
- Co-authors
- Nathaniel RothmanSholom WacholderStephen J. ChanockMontserrat García‐ClosasMarsha D. MarcusGloria GridleyRussell JagoSharon L. Edelstein
- Topics
- Diabetes Management and Research (18 papers)Obesity, Physical Activity, Diet (15 papers)Diabetes Treatment and Management (9 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismDiabetes CareJNCI Journal of the National Cancer Institute
- Partner nations
- United StatesIrelandUnited Kingdom
In The Last Decade
Laure El ghormli
55 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 682
- Genetics 585
- Endocrinology, Diabetes and Metabolism 509
- Public Health, Environmental and Occupational Health 481
- Surgery 444
Countries citing papers authored by Laure El ghormli
This map shows the geographic impact of Laure El ghormli'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 Laure El ghormli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laure El ghormli more than expected).
Fields of papers citing papers by Laure El ghormli
This network shows the impact of papers produced by Laure El ghormli. 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 Laure El ghormli. The network helps show where Laure El ghormli may publish in the future.
Co-authorship network of co-authors of Laure El ghormli
This figure shows the co-authorship network connecting the top 25 collaborators of Laure El ghormli. A scholar is included among the top collaborators of Laure El ghormli 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 Laure El ghormli. Laure El ghormli is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 16 | |
| 9 | 13 | |
| 10 | 15 | |
| 11 | 11 | |
| 12 | 22 | |
| 13 | 27 | |
| 14 | 49 | |
| 15 | 11 | |
| 16 | 34 | |
| 17 | 14 | |
| 18 | 41 | |
| 19 | 147 | |
| 20 | Assessing the Probability That a Positive Report is False: An Approach for Molecular Epidemiology Studiesbreakdown → | 1340 |
About Laure El ghormli
Laure El ghormli is a scholar working on Endocrinology, Diabetes and Metabolism, Public Health, Environmental and Occupational Health and Pediatrics, Perinatology and Child Health, having authored 58 papers that have together received 2.7k indexed citations. Recurring topics across this work include Diabetes Management and Research (18 papers), Obesity, Physical Activity, Diet (15 papers) and Diabetes Treatment and Management (9 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (509 citations), Genetics (585 citations) and Cancer Research (259 citations). Laure El ghormli has collaborated with scholars based in United States, Ireland and United Kingdom. Frequent co-authors include Nathaniel Rothman, Sholom Wacholder, Stephen J. Chanock, Montserrat García‐Closas, Marsha D. Marcus, Gloria Gridley, Russell Jago, Sharon L. Edelstein, Gary D. Foster and Kristen J. Nadeau. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care and JNCI Journal of the National Cancer Institute.
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.