Danielle Rasooly
Impact in
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- Genetic Associations and Epidemiology
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- Cancer-related molecular mechanisms research
Papers in
- Genetics 8
- Genetic Associations and Epidemiology 8
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- Uterine Myomas and Treatments 2
- Co-authors
- Chirag J. Patel (5 shared papers)Gina Marie Peloso (2 shared papers)Claudia Giambartolomei (1 shared paper)Arjun Kumar Manrai (1 shared paper)Yixuan He (1 shared paper)Ioanna Tzoulaki (1 shared paper)Muin J. Khoury (6 shared papers)Joseph Jacob (1 shared paper)
- Journals
- Current Protocols (2 papers)Journal of the American Heart Association (1 paper)PLoS Genetics (1 paper)Nature Communications (1 paper)American Journal of Obstetrics and Gynecology (1 paper)
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Danielle Rasooly
16 papers receiving 350 citations
Peers
Comparison fields: 5 of 75
- Genetics 91
- Cancer Research 24
- Health, Toxicology and Mutagenesis 20
- Cardiology and Cardiovascular Medicine 30
- 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 | 2023 | 75 | |
| 2 | 2019 | 65 | |
| 3 | 2021 | 57 | |
| 4 | 2021 | 55 | |
| 5 | 2022 | 29 | |
| 6 | 2023 | 14 | |
| 7 | 2012 | 11 | |
| 8 | 2019 | 11 | |
| 9 | 2025 | 10 | |
| 10 | 2023 | 8 | |
| 11 | 2025 | 8 | |
| 12 | 2017 | 4 | |
| 13 | 2024 | 3 | |
| 14 | 2022 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 |
About Danielle Rasooly
Danielle Rasooly is a scholar working on Genetics, Obstetrics and Gynecology, Statistics and Probability, Cardiology and Cardiovascular Medicine and Health, having authored 17 papers that have together received 354 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (8 papers), Bioinformatics and Genomic Networks (3 papers), Advanced Causal Inference Techniques (2 papers), Cardiovascular Function and Risk Factors (2 papers), Uterine Myomas and Treatments (2 papers), Heart Failure Treatment and Management (2 papers), Statistical Methods in Clinical Trials (1 paper) and Child and Adolescent Psychosocial and Emotional Development (1 paper). The work is most often cited by research in Genetics (91 citations), Cancer Research (24 citations), Health, Toxicology and Mutagenesis (20 citations), Cardiology and Cardiovascular Medicine (30 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 Marie Peloso, Claudia Giambartolomei, Arjun Kumar Manrai, Yixuan He, Ioanna Tzoulaki, Muin J. Khoury, Joseph Jacob, Ramal Moonesinghe and Henggang Cui. Their work appears in journals such as Current Protocols, Journal of the American Heart Association, PLoS Genetics, Nature Communications and American Journal of Obstetrics and Gynecology.
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.