Ariel Chernomoretz
- Molecular Biology
- Plant Science top 10%
- Immunology
- Genetics
- Neurology top 10%
- Co-authors
- Marcelo J. YanovskyEstefanía ManciniRubén Gustavo SchlaenFranco L. SimonettiCristina Marino‐BusljePierrot TremblayLuc VallièresElin Teppa
- Topics
- RNA Research and Splicing (7 papers)Gene Regulatory Network Analysis (6 papers)Theoretical and Computational Physics (5 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchSHILAP Revista de lepidopterología
- Partner nations
- ArgentinaUnited StatesSpain
In The Last Decade
Ariel Chernomoretz
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 142
- Molecular Biology 670
- Plant Science 271
- Immunology 74
- Genetics 68
- Neurology 66
Countries citing papers authored by Ariel Chernomoretz
This map shows the geographic impact of Ariel Chernomoretz'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 Ariel Chernomoretz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Chernomoretz more than expected).
Fields of papers citing papers by Ariel Chernomoretz
This network shows the impact of papers produced by Ariel Chernomoretz. 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 Ariel Chernomoretz. The network helps show where Ariel Chernomoretz may publish in the future.
Co-authorship network of co-authors of Ariel Chernomoretz
This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Chernomoretz. A scholar is included among the top collaborators of Ariel Chernomoretz 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 Ariel Chernomoretz. Ariel Chernomoretz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 19 | |
| 9 | 95 | |
| 10 | 25 | |
| 11 | 33 | |
| 12 | 8 | |
| 13 | 19 | |
| 14 | 4 | |
| 15 | 144 | |
| 16 | 131 | |
| 17 | 43 | |
| 18 | 5 | |
| 19 | LATINO: a semi-classical model to study nuclear fragmentation | 7 |
| 20 | A Semi-Classical Model to Study Nuclear Fragmentation | 1 |
About Ariel Chernomoretz
Ariel Chernomoretz is a scholar working on Biophysics, Developmental Neuroscience and Condensed Matter Physics, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Gene Regulatory Network Analysis (6 papers) and Theoretical and Computational Physics (5 papers). The work is most often cited by research in Molecular Biology (670 citations), Neurology (66 citations) and Plant Science (271 citations). Ariel Chernomoretz has collaborated with scholars based in Argentina, United States and Spain. Frequent co-authors include Marcelo J. Yanovsky, Estefanía Mancini, Rubén Gustavo Schlaen, Franco L. Simonetti, Cristina Marino‐Buslje, Pierrot Tremblay, Luc Vallières, Elin Teppa, Morten Nielsen and Ariel Berenstein. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and SHILAP Revista de lepidopterología.
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.