Danielle Rasooly
Impact in
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- Genetic Associations and Epidemiology
Papers in
- Genetics 8
- Genetic Associations and Epidemiology 8
- Genetic and phenotypic traits in livestock 1
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- Bioinformatics and Genomic Networks 2
- Co-authors
- Chirag J. Patel (5 shared papers)Gina M. Peloso (2 shared papers)Yixuan He (1 shared paper)Arjun K. Manrai (1 shared paper)Ioanna Tzoulaki (1 shared paper)Muin J. Khoury (6 shared papers)Claudia Giambartolomei (1 shared paper)John P. A. Ioannidis (1 shared paper)
- Journals
- Current Protocols (2 papers)Public Health Genomics (1 paper)CPT Pharmacometrics & Systems Pharmacology (1 paper)Diabetes Care (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Danielle Rasooly
13 papers receiving 201 citations
Peers
Comparison fields: 5 of 71
- Genetics 83
- Life-span and Life-course Studies 2
- Gastroenterology 9
- Periodontics 6
- Biological Psychiatry 3
Countries citing papers authored by Danielle Rasooly
This map shows the geographic impact of Danielle Rasooly'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 Danielle Rasooly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Rasooly more than expected).
Fields of papers citing papers by Danielle Rasooly
This network shows the impact of papers produced by Danielle Rasooly. 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 Danielle Rasooly. The network helps show where Danielle Rasooly may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle Rasooly, 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 | 2019 | 54 | |
| 2 | 2021 | 45 | |
| 3 | 2021 | 44 | |
| 4 | 2022 | 16 | |
| 5 | 2019 | 10 | |
| 6 | 2012 | 9 | |
| 7 | 2023 | 8 | |
| 8 | 2023 | 4 | |
| 9 | 2017 | 4 | |
| 10 | 2024 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 1 | |
| 14 | 2022 | 0 | |
| 15 | 2025 | 0 |
About Danielle Rasooly
Danielle Rasooly is a scholar working on Genetics, Molecular Biology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Reproductive Medicine, having authored 15 papers that have together received 201 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Advanced Causal Inference Techniques (2 papers), Endometriosis Research and Treatment (2 papers), Bioinformatics and Genomic Networks (2 papers), Uterine Myomas and Treatments (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Advanced Optical Network Technologies (1 paper) and Genetic and phenotypic traits in livestock (1 paper). The work is most often cited by research in Genetics (83 citations), Life-span and Life-course Studies (2 citations), Gastroenterology (9 citations), Periodontics (6 citations) and Biological Psychiatry (3 citations). Danielle Rasooly has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Chirag J. Patel, Gina M. Peloso, Yixuan He, Arjun K. Manrai, Ioanna Tzoulaki, Muin J. Khoury, Claudia Giambartolomei, John P. A. Ioannidis, Leland E. Hull and L.G. Kazovsky. Their work appears in journals such as Current Protocols, Public Health Genomics, CPT Pharmacometrics & Systems Pharmacology, Diabetes Care and PLoS Genetics.
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.