Danielle Rasooly

567 total citations
15 papers, 201 citations indexed

About

Danielle Rasooly is a scholar working on Genetics, Molecular Biology and Obstetrics and Gynecology. According to data from OpenAlex, Danielle Rasooly has authored 15 papers receiving a total of 201 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 2 papers in Molecular Biology and 2 papers in Obstetrics and Gynecology. Recurrent topics in Danielle Rasooly's work include Genetic Associations and Epidemiology (8 papers), Bioinformatics and Genomic Networks (2 papers) and Uterine Myomas and Treatments (2 papers). Danielle Rasooly is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Bioinformatics and Genomic Networks (2 papers) and Uterine Myomas and Treatments (2 papers). Danielle Rasooly collaborates with scholars based in United States, United Kingdom and China. Danielle Rasooly's co-authors include Chirag J. Patel, Gina M. Peloso, Ioanna Tzoulaki, Arjun K. Manrai, Yixuan He, Claudia Giambartolomei, Muin J. Khoury, John P. A. Ioannidis, L.G. Kazovsky and Ramal Moonesinghe and has published in prestigious journals such as Diabetes Care, American Journal of Epidemiology and International Journal of Molecular Sciences.

In The Last Decade

Danielle Rasooly

13 papers receiving 201 citations

Peers

Danielle Rasooly
Comparison fields: 5 of 71
  • Genetics 83
  • Molecular Biology 50
  • Epidemiology 29
  • Cardiology and Cardiovascular Medicine 19
  • Surgery 18
Replace Genevieve M Leyden with:
Genevieve M Leyden United Kingdom
Xianghong Hu China
Fatima Qafoud Qatar
Elisabeth Widén Finland
Haoyu Zhang United States
Justiina Ronkainen Finland
Malak Alghamdi Saudi Arabia
Steven Smit Estonia
Tianzhichao Hou China
Fernando Korn Malerbi Brazil
Genevieve M Leyden United Kingdom View profile →
Citations per field, relative to Danielle Rasooly
Danielle Rasooly · 1×
Citations per year, relative to Danielle Rasooly
Danielle Rasooly · 1×

Countries citing papers authored by Danielle Rasooly

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Rasooly

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Rasooly. A scholar is included among the top collaborators of Danielle Rasooly 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 Danielle Rasooly. Danielle Rasooly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
# Work Indexed citations
1 0
2 2
3 3
4 1
5 1
6 8
7 4
8 0
9 16
10 44
11 45
12 54
13 10
14 4
15 9

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.

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2026