Maya Leventer‐Roberts

1.4k total citations
42 papers, 496 citations indexed

About

Maya Leventer‐Roberts is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Maya Leventer‐Roberts has authored 42 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Epidemiology, 9 papers in Cardiology and Cardiovascular Medicine and 7 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Maya Leventer‐Roberts's work include Atrial Fibrillation Management and Outcomes (7 papers), Chronic Disease Management Strategies (4 papers) and Diabetes Management and Research (4 papers). Maya Leventer‐Roberts is often cited by papers focused on Atrial Fibrillation Management and Outcomes (7 papers), Chronic Disease Management Strategies (4 papers) and Diabetes Management and Research (4 papers). Maya Leventer‐Roberts collaborates with scholars based in Israel, United States and Denmark. Maya Leventer‐Roberts's co-authors include Ran D. Balicer, Chandra J. Cohen-Stavi, Becca Feldman, Noa Dagan, Moshe Hoshen, Moti Haim, Moshe Hoshen, Orna Reges, Asaf Bachrach and Tiffany G. Harris and has published in prestigious journals such as Journal of the American College of Cardiology, PLoS ONE and Clinical Infectious Diseases.

In The Last Decade

Maya Leventer‐Roberts

41 papers receiving 483 citations

Peers

Maya Leventer‐Roberts
Comparison fields: 5 of 96
  • Epidemiology 130
  • Cardiology and Cardiovascular Medicine 87
  • Surgery 81
  • Public Health, Environmental and Occupational Health 74
  • General Health Professions 69
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Citations per field, relative to Maya Leventer‐Roberts
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Citations per year, relative to Maya Leventer‐Roberts
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Countries citing papers authored by Maya Leventer‐Roberts

Since Specialization
Citations

This map shows the geographic impact of Maya Leventer‐Roberts'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 Maya Leventer‐Roberts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya Leventer‐Roberts more than expected).

Fields of papers citing papers by Maya Leventer‐Roberts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maya Leventer‐Roberts. 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 Maya Leventer‐Roberts. The network helps show where Maya Leventer‐Roberts may publish in the future.

Co-authorship network of co-authors of Maya Leventer‐Roberts

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 5
2 8
3 19
4 5
5 3
6 5
7 32
8 1
9 18
10 12
11 6
12 3
13 6
14 15
15 3
16 37
17 7
18 1
19 43
20 36

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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