Jonathan Lerner
Impact in
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- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- Diffusion and Search Dynamics
- Pluripotent Stem Cells Research
- Developmental Biology and Gene Regulation
Papers in
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- Genomics and Chromatin Dynamics 8
- Epigenetics and DNA Methylation 2
- Cancer-related gene regulation 1
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- Advanced Fluorescence Microscopy Techniques 1
- Co-authors
- Kenneth S. Zaret (8 shared papers)Katherine C. Palozola (1 shared paper)Pablo Aurelio Gómez-García (2 shared papers)Zhe J. Liu (2 shared papers)Ryan L. McCarthy (2 shared papers)Melike Lakadamyali (2 shared papers)Makiko Iwafuchi (1 shared paper)Alessia Bagattin (3 shared papers)
- Journals
- Molecular Cell (2 papers)eLife (2 papers)Cell Reports (2 papers)Science Advances (1 paper)Cell Death Discovery (1 paper)
- Partner nations
- United StatesFranceSpain
In The Last Decade
Jonathan Lerner
11 papers receiving 354 citations
Peers
Comparison fields: 5 of 35
- Molecular Biology 275
- Developmental Neuroscience 10
- Biophysics 21
- Obstetrics and Gynecology 14
- Cell Biology 14
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 | 97 | |
| 2 | 2020 | 91 | |
| 3 | 2016 | 48 | |
| 4 | 2016 | 48 | |
| 5 | 2023 | 24 | |
| 6 | 2019 | 19 | |
| 7 | 2020 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2020 | 6 | |
| 10 | 2024 | 3 | |
| 11 | 2023 | 2 |
About Jonathan Lerner
Jonathan Lerner is a scholar working on Molecular Biology, Biophysics, Obstetrics and Gynecology, Infectious Diseases and Oncology, having authored 11 papers that have together received 354 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (8 papers), Epigenetics and DNA Methylation (2 papers), Pregnancy and preeclampsia studies (1 paper), Force Microscopy Techniques and Applications (1 paper), SARS-CoV-2 detection and testing (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), PARP inhibition in cancer therapy (1 paper) and Cancer-related gene regulation (1 paper). The work is most often cited by research in Molecular Biology (275 citations), Developmental Neuroscience (10 citations), Biophysics (21 citations), Obstetrics and Gynecology (14 citations) and Cell Biology (14 citations). Jonathan Lerner has collaborated with scholars based in United States, France and Spain. Frequent co-authors include Kenneth S. Zaret, Katherine C. Palozola, Pablo Aurelio Gómez-García, Zhe J. Liu, Ryan L. McCarthy, Melike Lakadamyali, Makiko Iwafuchi, Alessia Bagattin, Marco Pontoglio and Laurence Heidet. Their work appears in journals such as Molecular Cell, eLife, Cell Reports, Science Advances and Cell Death Discovery.
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.