Aya Leder
Impact in
- Genetics top 5%
- Hemoglobinopathies and Related Disorders
- Animal Genetics and Reproduction
- Virus-based gene therapy research
- Molecular Biology top 10%
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
Papers in
-
- DNA and Nucleic Acid Chemistry 4
- CRISPR and Genetic Engineering 3
- DNA Repair Mechanisms 2
- Genomics and Chromatin Dynamics 2
- Genetics 11
- Hemoglobinopathies and Related Disorders 11
- Co-authors
- Philip Leder (17 shared papers)Ann Kuo (2 shared papers)Timothy A. Stewart (1 shared paper)Paul K. Pattengale (1 shared paper)J.G. Seidman (2 shared papers)Barbara Norman (1 shared paper)Marion M. Nau (1 shared paper)Frank H. Ruddle (1 shared paper)
- Journals
- Science (3 papers)Cell (3 papers)Blood (2 papers)Nature (2 papers)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesIsraelPakistan
In The Last Decade
Aya Leder
18 papers receiving 1.6k citations
Aya Leder's Hit Papers
Peers
Comparison fields: 5 of 98
- Genetics 210
- Molecular Biology 1.2k
- Genetics 373
- Hematology 129
- Immunology 215
Countries citing papers authored by Aya Leder
This map shows the geographic impact of Aya Leder'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 Aya Leder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aya Leder more than expected).
Fields of papers citing papers by Aya Leder
This network shows the impact of papers produced by Aya Leder. 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 Aya Leder. The network helps show where Aya Leder may publish in the future.
Co-authors
The 25 scholars most cited alongside Aya Leder, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Butyric acid, a potent inducer of erythroid differentiation in cultured erythroleukemic cells Hit paper breakdown → | 1975 | 589 |
| 2 | 1986 | 353 | |
| 3 | 1978 | 189 | |
| 4 | 1981 | 150 | |
| 5 | 1978 | 121 | |
| 6 | 1975 | 85 | |
| 7 | 1980 | 83 | |
| 8 | 1982 | 55 | |
| 9 | 1985 | 41 | |
| 10 | 1992 | 38 | |
| 11 | 1997 | 27 | |
| 12 | 1989 | 18 | |
| 13 | 2002 | 12 | |
| 14 | 1999 | 7 | |
| 15 | 1997 | 4 | |
| 16 | 1998 | 3 | |
| 17 | 2005 | 1 | |
| 18 | 1980 | 1 |
About Aya Leder
Aya Leder is a scholar working on Molecular Biology, Genetics, Physiology, Rheumatology and Hematology, having authored 18 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hemoglobinopathies and Related Disorders (11 papers), Erythrocyte Function and Pathophysiology (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Folate and B Vitamins Research (4 papers), Iron Metabolism and Disorders (3 papers), CRISPR and Genetic Engineering (3 papers), DNA Repair Mechanisms (2 papers) and Genomics and Chromatin Dynamics (2 papers). The work is most often cited by research in Genetics (210 citations), Molecular Biology (1.2k citations), Genetics (373 citations), Hematology (129 citations) and Immunology (215 citations). Aya Leder has collaborated with scholars based in United States, Israel and Pakistan. Frequent co-authors include Philip Leder, Ann Kuo, Timothy A. Stewart, Paul K. Pattengale, J.G. Seidman, Barbara Norman, Marion M. Nau, Frank H. Ruddle, Peter D’Eustachio and David Swan. Their work appears in journals such as Science, Cell, Blood, Nature and Human Molecular Genetics.
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.