Yael Levy‐Shraga
- Endocrinology, Diabetes and Metabolism top 5%
- Genetics top 10%
- Surgery
- Molecular Biology
- Pediatrics, Perinatology and Child Health top 10%
- Co-authors
- Orit Pinhas‐HamielDalit Modan‐MosesLiat Lerner‐GevaAyala Maayan‐MetzgerGili KenetMichal Ben‐AmiDan J. SteinIris Vered
- Topics
- Diabetes Management and Research (11 papers)Congenital heart defects research (7 papers)Diabetes and associated disorders (7 papers)
- Journals
- PLoS ONEThe Journal of Clinical Endocrinology & MetabolismJournal of Bone and Mineral Research
- Partner nations
- IsraelUnited StatesAustralia
In The Last Decade
Yael Levy‐Shraga
53 papers receiving 791 citations
Peers
Comparison fields: 5 of 86
- Endocrinology, Diabetes and Metabolism 268
- Genetics 221
- Surgery 154
- Molecular Biology 154
- Pediatrics, Perinatology and Child Health 116
Countries citing papers authored by Yael Levy‐Shraga
This map shows the geographic impact of Yael Levy‐Shraga'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 Yael Levy‐Shraga with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yael Levy‐Shraga more than expected).
Fields of papers citing papers by Yael Levy‐Shraga
This network shows the impact of papers produced by Yael Levy‐Shraga. 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 Yael Levy‐Shraga. The network helps show where Yael Levy‐Shraga may publish in the future.
Co-authorship network of co-authors of Yael Levy‐Shraga
This figure shows the co-authorship network connecting the top 25 collaborators of Yael Levy‐Shraga. A scholar is included among the top collaborators of Yael Levy‐Shraga 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 Yael Levy‐Shraga. Yael Levy‐Shraga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Trabecular Bone Score Change Is Not Predicted by Bone Turnover: Short-term Sequential Follow-up. | 1 |
| 3 | 5 | |
| 4 | 9 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Dual Diagnosis of Type 1 Diabetes and ADHD | 1 |
| 9 | 19 | |
| 10 | 12 | |
| 11 | 55 | |
| 12 | 7 | |
| 13 | 11 | |
| 14 | 20 | |
| 15 | 29 | |
| 16 | 19 | |
| 17 | 10 | |
| 18 | 19 | |
| 19 | 50 | |
| 20 | 36 |
About Yael Levy‐Shraga
Yael Levy‐Shraga is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Nephrology, having authored 59 papers that have together received 815 indexed citations. Recurring topics across this work include Diabetes Management and Research (11 papers), Congenital heart defects research (7 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (268 citations), Critical Care and Intensive Care Medicine (44 citations) and Genetics (221 citations). Yael Levy‐Shraga has collaborated with scholars based in Israel, United States and Australia. Frequent co-authors include Orit Pinhas‐Hamiel, Dalit Modan‐Moses, Liat Lerner‐Geva, Ayala Maayan‐Metzger, Gili Kenet, Michal Ben‐Ami, Dan J. Stein, Iris Vered, Zohar Landau and B. Ravid. Their work appears in journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Journal of Bone and Mineral Research.
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.