Aviva Levitas

994 citations
37 papers · 616 indexed · h-index 14

Impact in

Papers in

Aviva Levitas

33 papers receiving 587 citations

Peers

Aviva Levitas
Comparison fields: 5 of 77
  • Cardiology and Cardiovascular Medicine 277
  • Developmental Biology 20
  • Endocrine and Autonomic Systems 39
  • Epidemiology 196
  • Clinical Biochemistry 24
Replace Hiroshi Suzumura with:
Hiroshi Suzumura Japan
Franco Salerno Italy
Susanne Hörner Germany
Keith J. Wroblewski United States
Hiroki Kajino Japan
Giuseppa Patti Italy
Francesca Manzoni Italy
Jill P. J. M. Hikspoors Netherlands
Stacey B. Leach United States
Yoshito Wakao Japan
Aviva Levitas relative to Hiroshi Suzumura Japan Hiroshi Suzumura's profile →
Citations per field
00.5×
Hiroshi Suzumura · 1×
Citations per year

Countries citing papers authored by Aviva Levitas

Since Specialization
Citations

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

Fields of papers citing papers by Aviva Levitas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aviva Levitas. 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 Aviva Levitas. The network helps show where Aviva Levitas may publish in the future.

Co-authors

The 25 scholars most cited alongside Aviva Levitas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aviva Levitas Line = papers co-authored together Aviva Levitas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20235
4 20232
5 20232
6 20210
7 20204
8 202021
9 20203
10 201826
11 201612
12 201558
13 20155
14 201089
15 201067
16 200436
17 200419
18 200438
19 20039
20 20011

About Aviva Levitas

Aviva Levitas is a scholar working on Cardiology and Cardiovascular Medicine, Developmental Biology, Epidemiology, Cell Biology and Genetics, having authored 37 papers that have together received 616 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (12 papers), Congenital Heart Disease Studies (7 papers), Infective Endocarditis Diagnosis and Management (5 papers), Mitochondrial Function and Pathology (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Cardiovascular Effects of Exercise (3 papers), Cardiac Structural Anomalies and Repair (3 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (277 citations), Developmental Biology (20 citations), Endocrine and Autonomic Systems (39 citations), Epidemiology (196 citations) and Clinical Biochemistry (24 citations). Aviva Levitas has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Ruti Parvari, Nili Zucker, Eli Zalzstein, Emad Muhammad, Val C. Sheffield, Yoram Etzion, Ann Saada, Asher Tal, Esther Manor and Sari Greenberg‐Dotan. Their work appears in journals such as International Journal of Molecular Sciences, European Journal of Human Genetics, Journal of Medical Genetics, Pediatric Emergency Care and Scientific Reports.

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