Jonathan Lerner
Impact in
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- Advanced Fluorescence Microscopy Techniques
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- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- Epigenetics and DNA Methylation
- Pluripotent Stem Cells Research
- RNA and protein synthesis mechanisms
- Protein Degradation and Inhibitors
- CRISPR and Genetic Engineering
Papers in
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- Genomics and Chromatin Dynamics 6
- DNA Repair Mechanisms 2
- Epigenetics and DNA Methylation 2
- CRISPR and Genetic Engineering 2
- Protein Degradation and Inhibitors 1
- Oncology 2
- PARP inhibition in cancer therapy 1
- Pancreatic and Hepatic Oncology Research 1
- Co-authors
- Kenneth S. Zaret (7 shared papers)Katherine C. Palozola (1 shared paper)Ryan L. McCarthy (2 shared papers)Melike Lakadamyali (2 shared papers)Pablo Aurelio Gómez-García (2 shared papers)Zhe Liu (1 shared paper)Marco Pontoglio (3 shared papers)Alessia Bagattin (3 shared papers)
- Journals
- Cell Reports (2 papers)eLife (2 papers)Cell Death Discovery (1 paper)Nature Reviews Molecular Cell Biology (1 paper)Nucleic Acids Research (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Jonathan Lerner
10 papers receiving 294 citations
Peers
Comparison fields: 5 of 46
- Biophysics 24
- Molecular Biology 249
- Structural Biology 5
- Obstetrics and Gynecology 15
- Cell Biology 21
Countries citing papers authored by Jonathan Lerner
This map shows the geographic impact of Jonathan 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 Jonathan Lerner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Lerner more than expected).
Fields of papers citing papers by Jonathan Lerner
This network shows the impact of papers produced by Jonathan 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 Jonathan Lerner. The network helps show where Jonathan Lerner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan 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 | 2018 | 96 | |
| 2 | 2020 | 87 | |
| 3 | 2016 | 46 | |
| 4 | 2023 | 22 | |
| 5 | 2019 | 17 | |
| 6 | 2020 | 8 | |
| 7 | 2022 | 8 | |
| 8 | 2020 | 5 | |
| 9 | 2024 | 3 | |
| 10 | 2023 | 2 |
About Jonathan Lerner
Jonathan Lerner is a scholar working on Molecular Biology, Oncology, Infectious Diseases, Surgery and Pediatrics, Perinatology and Child Health, having authored 10 papers that have together received 294 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), DNA Repair Mechanisms (2 papers), Epigenetics and DNA Methylation (2 papers), CRISPR and Genetic Engineering (2 papers), PARP inhibition in cancer therapy (1 paper), Pancreatic and Hepatic Oncology Research (1 paper), SARS-CoV-2 detection and testing (1 paper) and Protein Degradation and Inhibitors (1 paper). The work is most often cited by research in Biophysics (24 citations), Molecular Biology (249 citations), Structural Biology (5 citations), Obstetrics and Gynecology (15 citations) and Cell Biology (21 citations). Jonathan Lerner has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Kenneth S. Zaret, Katherine C. Palozola, Ryan L. McCarthy, Melike Lakadamyali, Pablo Aurelio Gómez-García, Zhe Liu, Marco Pontoglio, Alessia Bagattin, Laurence Heidet and Munevver Parla Makinistoglu. Their work appears in journals such as Cell Reports, eLife, Cell Death Discovery, Nature Reviews Molecular Cell Biology and Nucleic Acids 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.