J. Ebert
Impact in
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
- Nuclear Structure and Function
- CRISPR and Genetic Engineering
- Genomics and Chromatin Dynamics
- RNA regulation and disease
- Cell Biology top 5%
- Microtubule and mitosis dynamics
Papers in
-
- RNA and protein synthesis mechanisms 11
- RNA Research and Splicing 11
- RNA modifications and cancer 6
- Nuclear Structure and Function 4
- CRISPR and Genetic Engineering 3
- Ubiquitin and proteasome pathways 2
-
- Viral Infections and Immunology Research 2
- Co-authors
- Elena Conti (18 shared papers)Esben Lorentzen (3 shared papers)Fulvia Bono (5 shared papers)Doris Lindner (4 shared papers)Fabien Bonneau (4 shared papers)A. Arockia Jeyaprakash (1 shared paper)Ulf Klein (1 shared paper)Erich A. Nigg (1 shared paper)
- Journals
- Molecular Cell (5 papers)Cell (3 papers)RNA Biology (2 papers)EMBO Reports (2 papers)Biology Direct (1 paper)
- Partner nations
- GermanyFranceUnited Kingdom
In The Last Decade
J. Ebert
19 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 1.7k
- Cell Biology 236
- Business and International Management 19
- Structural Biology 13
- Aging 15
Countries citing papers authored by J. Ebert
This map shows the geographic impact of J. Ebert'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 J. Ebert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Ebert more than expected).
Fields of papers citing papers by J. Ebert
This network shows the impact of papers produced by J. Ebert. 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 J. Ebert. The network helps show where J. Ebert may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Ebert, 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 | 2006 | 342 | |
| 2 | 2007 | 287 | |
| 3 | 2009 | 203 | |
| 4 | 2005 | 194 | |
| 5 | 2014 | 113 | |
| 6 | 2010 | 105 | |
| 7 | 2004 | 80 | |
| 8 | 2012 | 74 | |
| 9 | 2004 | 67 | |
| 10 | 2005 | 62 | |
| 11 | 2016 | 62 | |
| 12 | 2010 | 57 | |
| 13 | 2010 | 55 | |
| 14 | 2004 | 50 | |
| 15 | 2017 | 39 | |
| 16 | 2013 | 35 | |
| 17 | 2013 | 29 | |
| 18 | 2014 | 16 | |
| 19 | 2005 | 1 |
About J. Ebert
J. Ebert is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Cell Biology, Genetics and Artificial Intelligence, having authored 19 papers that have together received 1.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (11 papers), RNA modifications and cancer (6 papers), Nuclear Structure and Function (4 papers), CRISPR and Genetic Engineering (3 papers), Ubiquitin and proteasome pathways (2 papers), Microtubule and mitosis dynamics (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Molecular Biology (1.7k citations), Cell Biology (236 citations), Business and International Management (19 citations), Structural Biology (13 citations) and Aging (15 citations). J. Ebert has collaborated with scholars based in Germany, France and United Kingdom. Frequent co-authors include Elena Conti, Esben Lorentzen, Fulvia Bono, Doris Lindner, Fabien Bonneau, A. Arockia Jeyaprakash, Ulf Klein, Erich A. Nigg, Elisa Izaurralde and Leonie Unterholzner. Their work appears in journals such as Molecular Cell, Cell, RNA Biology, EMBO Reports and Biology Direct.
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.