Rima Slim
- Molecular Biology top 5%
- Pediatrics, Perinatology and Child Health top 0.5%
- Public Health, Environmental and Occupational Health top 1%
- Genetics top 2%
- Immunology top 5%
- Co-authors
- M. SeoudAsangla AoRashmi BaggaNgoc Minh NguyenRenate KircheisenChristine PetitAhmad M. MansourUgljesa Djuric
- Topics
- Gestational Trophoblastic Disease Studies (46 papers)Prenatal Screening and Diagnostics (41 papers)Genetic Syndromes and Imprinting (24 papers)
- Cited by
- Pediatrics, Perinatology and Child HealthSensory SystemsPublic Health, Environmental and Occupational Health
- Partner nations
- CanadaFranceUnited States
In The Last Decade
Rima Slim
72 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 89
- Molecular Biology 1.3k
- Pediatrics, Perinatology and Child Health 1.2k
- Public Health, Environmental and Occupational Health 1.2k
- Genetics 838
- Immunology 500
Countries citing papers authored by Rima Slim
This map shows the geographic impact of Rima Slim'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 Rima Slim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rima Slim more than expected).
Fields of papers citing papers by Rima Slim
This network shows the impact of papers produced by Rima Slim. 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 Rima Slim. The network helps show where Rima Slim may publish in the future.
Co-authorship network of co-authors of Rima Slim
This figure shows the co-authorship network connecting the top 25 collaborators of Rima Slim. A scholar is included among the top collaborators of Rima Slim 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 Rima Slim. Rima Slim 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 | 4 | |
| 4 | 25 | |
| 5 | 15 | |
| 6 | 5 | |
| 7 | 69 | |
| 8 | 26 | |
| 9 | 37 | |
| 10 | 4 | |
| 11 | 60 | |
| 12 | 16 | |
| 13 | 45 | |
| 14 | 79 | |
| 15 | 199 | |
| 16 | 15 | |
| 17 | 70 | |
| 18 | 8 | |
| 19 | 3 | |
| 20 | 16 |
About Rima Slim
Rima Slim is a scholar working on Pediatrics, Perinatology and Child Health, Public Health, Environmental and Occupational Health and Sensory Systems, having authored 75 papers that have together received 2.7k indexed citations. Recurring topics across this work include Gestational Trophoblastic Disease Studies (46 papers), Prenatal Screening and Diagnostics (41 papers) and Genetic Syndromes and Imprinting (24 papers). The work is most often cited by research in Pediatrics, Perinatology and Child Health (1.2k citations), Sensory Systems (285 citations) and Public Health, Environmental and Occupational Health (1.2k citations). Rima Slim has collaborated with scholars based in Canada, France and United States. Frequent co-authors include M. Seoud, Asangla Ao, Rashmi Bagga, Ngoc Minh Nguyen, Renate Kircheisen, Christine Petit, Ahmad M. Mansour, Ugljesa Djuric, Sharlene Murdoch and Rabia Khan. Their work appears in journals such as Journal of Biological Chemistry, Nature Genetics and Blood.
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.