Danielle Hirsch‐Lerner

696 citations
9 papers · 582 indexed · h-index 9
Topics
RNA Interference and Gene Delivery (9 papers)Advanced biosensing and bioanalysis techniques (7 papers)Lipid Membrane Structure and Behavior (3 papers)
Partner nations
Israel

In The Last Decade

Danielle Hirsch‐Lerner

9 papers receiving 568 citations

Peers

Danielle Hirsch‐Lerner
Comparison fields: 5 of 57
  • Molecular Biology 529
  • Genetics 104
  • Biomaterials 53
  • Immunology 49
  • Organic Chemistry 46
Replace Vera A. Rakhmanova with:
Vera A. Rakhmanova United States
Brian A. Lobo United States
Sirirat Choosakoonkriang United States
Yechezkel Barenholz Israel
J.‐P. BEHR France
Frances M. P. Wong Canada
Austin L. Bailey Canada
Matthew R. Bockman United States
Nathalie Carmoy France
Sara S. Nogueira Germany
Danielle Hirsch‐Lerner relative to Vera A. Rakhmanova United States Vera A. Rakhmanova's profile →
Citations per field
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Vera A. Rakhmanova · 1×
Citations per year

Countries citing papers authored by Danielle Hirsch‐Lerner

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Danielle Hirsch‐Lerner

This figure shows the co-authorship network connecting the top 25 collaborators of Danielle Hirsch‐Lerner. A scholar is included among the top collaborators of Danielle Hirsch‐Lerner 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 Danielle Hirsch‐Lerner. Danielle Hirsch‐Lerner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
#WorkIndexed citations
1 11
2 101
3 103
4 16
5 54
6 37
7 99
8 82
9 79

About Danielle Hirsch‐Lerner

Danielle Hirsch‐Lerner is a scholar working on Molecular Biology, Genetics and Pharmacology, 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) and Lipid Membrane Structure and Behavior (3 papers). The work is most often cited by research in Molecular Biology (529 citations), Biomaterials (53 citations) and Genetics (104 citations). Danielle Hirsch‐Lerner has collaborated with scholars based in Israel. Frequent co-authors include Yechezkel Barenholz, Yechezkel Barenholz, Yeshayahu Talmon, Sarah Weisman, Nicolaas Jan Zuidam, Carl J. Wheeler, Ming Zhang, Hagit Eliyahu, Jack S. Cohen and Victor M. Meidan. Their work appears in journals such as Biophysical Journal, Biochimica et Biophysica Acta (BBA) - Biomembranes and Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids.

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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