Danielle Hirsch‐Lerner
Impact in
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Lipid Membrane Structure and Behavior
- DNA and Nucleic Acid Chemistry
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- Nanoparticle-Based Drug Delivery
Papers in
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- RNA Interference and Gene Delivery 9
- Advanced biosensing and bioanalysis techniques 7
- DNA and Nucleic Acid Chemistry 3
- Lipid Membrane Structure and Behavior 3
- Genetics 3
- Virus-based gene therapy research 3
- Co-authors
- Yechezkel Barenholz (8 shared papers)Yechezkel Barenholz (1 shared paper)Sarah Weisman (1 shared paper)Yeshayahu Talmon (1 shared paper)Nicolaas Jan Zuidam (1 shared paper)Hagit Eliyahu (1 shared paper)Carl J. Wheeler (1 shared paper)Ming Zhang (1 shared paper)
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (5 papers)Biophysical Journal (1 paper)Journal of Liposome Research (1 paper)Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids (1 paper)The Journal of Gene Medicine (1 paper)
- Partner nations
- Israel
In The Last Decade
Danielle Hirsch‐Lerner
9 papers receiving 568 citations
Peers
Comparison fields: 5 of 57
- Molecular Biology 529
- Biomaterials 53
- Genetics 104
- Pharmaceutical Science 16
- Surfaces, Coatings and Films 17
Countries citing papers authored by Danielle Hirsch‐Lerner
This map shows the geographic impact of Danielle Hirsch‐Lerner'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 Danielle Hirsch‐Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle Hirsch‐Lerner more than expected).
Fields of papers citing papers by Danielle Hirsch‐Lerner
This network shows the impact of papers produced by Danielle Hirsch‐Lerner. 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 Danielle Hirsch‐Lerner. The network helps show where Danielle Hirsch‐Lerner may publish in the future.
Co-authors
The 14 scholars most cited alongside Danielle Hirsch‐Lerner, 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 | 2004 | 103 | |
| 2 | 2005 | 101 | |
| 3 | 1999 | 99 | |
| 4 | 1999 | 82 | |
| 5 | 1998 | 79 | |
| 6 | 2000 | 54 | |
| 7 | 2000 | 37 | |
| 8 | 2001 | 16 | |
| 9 | 2007 | 11 |
About Danielle Hirsch‐Lerner
Danielle Hirsch‐Lerner is a scholar working on Molecular Biology, Genetics, Pharmacology, Oncology and Infectious Diseases, having authored 9 papers that have together received 582 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (9 papers), Advanced biosensing and bioanalysis techniques (7 papers), DNA and Nucleic Acid Chemistry (3 papers), Virus-based gene therapy research (3 papers), Lipid Membrane Structure and Behavior (3 papers), CAR-T cell therapy research (1 paper) and Antibiotics Pharmacokinetics and Efficacy (1 paper). The work is most often cited by research in Molecular Biology (529 citations), Biomaterials (53 citations), Genetics (104 citations), Pharmaceutical Science (16 citations) and Surfaces, Coatings and Films (17 citations). Danielle Hirsch‐Lerner has collaborated with scholars based in Israel. Frequent co-authors include Yechezkel Barenholz, Yechezkel Barenholz, Sarah Weisman, Yeshayahu Talmon, Nicolaas Jan Zuidam, Hagit Eliyahu, Carl J. Wheeler, Ming Zhang, Jack S. Cohen and Ninette Amariglio. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Biophysical Journal, Journal of Liposome Research, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and The Journal of Gene 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.