Jonathan J. Ipsaro
Impact in
- Molecular Biology top 10%
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Advanced biosensing and bioanalysis techniques
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 2
- Genomics and Phylogenetic Studies 2
- Protein Structure and Dynamics 2
- Epigenetics and DNA Methylation 2
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- Erythrocyte Function and Pathophysiology 5
- Co-authors
- Leemor Joshua‐Tor (11 shared papers)Alfonso Mondragón (4 shared papers)Astrid D. Desiree Haase (2 shared papers)Gregory James Hannon (1 shared paper)Simon Knott (1 shared paper)Lei Huang (2 shared papers)Christopher R. Vakoc (5 shared papers)Junwei Shi (2 shared papers)
- Journals
- Blood (3 papers)Nature (2 papers)Journal of Proteome Research (2 papers)Cell Reports (2 papers)Nature Structural & Molecular Biology (1 paper)
- Partner nations
- United StatesFranceAustria
In The Last Decade
Jonathan J. Ipsaro
21 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 808
- Cancer Research 153
- Physiology 205
- Plant Science 286
- Aging 10
Countries citing papers authored by Jonathan J. Ipsaro
This map shows the geographic impact of Jonathan J. Ipsaro'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 J. Ipsaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan J. Ipsaro more than expected).
Fields of papers citing papers by Jonathan J. Ipsaro
This network shows the impact of papers produced by Jonathan J. Ipsaro. 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 J. Ipsaro. The network helps show where Jonathan J. Ipsaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan J. Ipsaro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 262 | |
| 2 | 2015 | 222 | |
| 3 | 2015 | 112 | |
| 4 | 2009 | 84 | |
| 5 | 2010 | 73 | |
| 6 | 2010 | 61 | |
| 7 | 2022 | 58 | |
| 8 | 2011 | 57 | |
| 9 | 2023 | 50 | |
| 10 | 2019 | 49 | |
| 11 | 2008 | 27 | |
| 12 | 2017 | 23 | |
| 13 | 2007 | 22 | |
| 14 | 2023 | 19 | |
| 15 | 2012 | 18 | |
| 16 | 2021 | 14 | |
| 17 | 2020 | 11 | |
| 18 | 2022 | 6 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 3 |
About Jonathan J. Ipsaro
Jonathan J. Ipsaro is a scholar working on Molecular Biology, Physiology, Plant Science, Genetics and Cell Biology, having authored 21 papers that have together received 1.2k indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (5 papers), Erythrocyte Function and Pathophysiology (5 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Phylogenetic Studies (2 papers), Protein Structure and Dynamics (2 papers), Computational Drug Discovery Methods (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Molecular Biology (808 citations), Cancer Research (153 citations), Physiology (205 citations), Plant Science (286 citations) and Aging (10 citations). Jonathan J. Ipsaro has collaborated with scholars based in United States, France and Austria. Frequent co-authors include Leemor Joshua‐Tor, Alfonso Mondragón, Astrid D. Desiree Haase, Gregory James Hannon, Simon Knott, Lei Huang, Christopher R. Vakoc, Junwei Shi, Chen Shen and Darryl J Pappin. Their work appears in journals such as Blood, Nature, Journal of Proteome Research, Cell Reports and Nature Structural & Molecular Biology.
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.