Nina S. Levy
- Molecular Biology top 2%
- Cancer Research top 1%
- Cell Biology top 1%
- Physiology top 5%
- Surgery top 10%
- Co-authors
- Andrew P. LevyMark A. GoldbergScott A. WegnerHenry FurneauxSangmi ChungOrit LacheRabea AslehPatricia J. Gearhart
- Topics
- Hemoglobin structure and function (20 papers)Neonatal Health and Biochemistry (10 papers)Genetics and Neurodevelopmental Disorders (10 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Biological ChemistryThe Journal of Experimental Medicine
- Partner nations
- IsraelUnited StatesCanada
In The Last Decade
Nina S. Levy
59 papers receiving 5.0k citations
Hit Papers
Peers
Comparison fields: 5 of 125
- Molecular Biology 2.7k
- Cancer Research 1.4k
- Cell Biology 1.1k
- Physiology 668
- Surgery 516
Countries citing papers authored by Nina S. Levy
This map shows the geographic impact of Nina S. Levy'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 Nina S. Levy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nina S. Levy more than expected).
Fields of papers citing papers by Nina S. Levy
This network shows the impact of papers produced by Nina S. Levy. 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 Nina S. Levy. The network helps show where Nina S. Levy may publish in the future.
Co-authorship network of co-authors of Nina S. Levy
This figure shows the co-authorship network connecting the top 25 collaborators of Nina S. Levy. A scholar is included among the top collaborators of Nina S. Levy 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 Nina S. Levy. Nina S. Levy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 9 | |
| 4 | 9 | |
| 5 | 7 | |
| 6 | 28 | |
| 7 | 18 | |
| 8 | 50 | |
| 9 | 107 | |
| 10 | 15 | |
| 11 | 34 | |
| 12 | 46 | |
| 13 | 66 | |
| 14 | 179 | |
| 15 | Post-transcriptional Regulation of Vascular Endothelial Growth Factor by Hypoxiabreakdown → | 524 |
| 16 | Transcriptional Regulation of the Rat Vascular Endothelial Growth Factor Gene by Hypoxiabreakdown → | 909 |
| 17 | 78 | |
| 18 | 89 | |
| 19 | 2 | |
| 20 | 133 |
About Nina S. Levy
Nina S. Levy is a scholar working on Cell Biology, Sensory Systems and Cancer Research, having authored 60 papers that have together received 5.1k indexed citations. Recurring topics across this work include Hemoglobin structure and function (20 papers), Neonatal Health and Biochemistry (10 papers) and Genetics and Neurodevelopmental Disorders (10 papers). The work is most often cited by research in Cancer Research (1.4k citations), Cell Biology (1.1k citations) and Molecular Biology (2.7k citations). Nina S. Levy has collaborated with scholars based in Israel, United States and Canada. Frequent co-authors include Andrew P. Levy, Mark A. Goldberg, Scott A. Wegner, Henry Furneaux, Sangmi Chung, Orit Lache, Rabea Asleh, Patricia J. Gearhart, Julia Guetta and Ursula Malipiero. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Experimental Medicine.
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.