Jan Eglinger
Impact in
- Aging top 5%
- Molecular Biology top 5%
- RNA Research and Splicing
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- Genomics and Chromatin Dynamics
- Angiogenesis and VEGF in Cancer
- DNA Repair Mechanisms
- CRISPR and Genetic Engineering
Papers in
-
- RNA Research and Splicing 8
- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 3
- CRISPR and Genetic Engineering 3
- RNA modifications and cancer 3
- DNA Repair Mechanisms 2
- Molecular Biology Techniques and Applications 2
- Surgery 2
- Co-authors
- Eckhard Lammert (6 shared papers)Jeffrey A. Chao (6 shared papers)Franka Voigt (6 shared papers)Grégory Roth (2 shared papers)Boris Strilić (3 shared papers)Daniel Matějů (1 shared paper)Bastian Eichenberger (1 shared paper)Tomáš Kučera (2 shared papers)
- Journals
- Molecular Cell (2 papers)Nature Protocols (1 paper)Nature Chemical Biology (1 paper)Novartis Foundation symposium (1 paper)PLoS Biology (1 paper)
- Partner nations
- SwitzerlandGermanyUnited States
In The Last Decade
Jan Eglinger
25 papers receiving 1.8k citations
Jan Eglinger's Hit Papers
Peers
Comparison fields: 5 of 120
- Aging 56
- Molecular Biology 1.4k
- Cell Biology 279
- Biophysics 60
- Structural Biology 12
Countries citing papers authored by Jan Eglinger
This map shows the geographic impact of Jan Eglinger'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 Jan Eglinger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Eglinger more than expected).
Fields of papers citing papers by Jan Eglinger
This network shows the impact of papers produced by Jan Eglinger. 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 Jan Eglinger. The network helps show where Jan Eglinger may publish in the future.
Co-authors
The 25 scholars most cited alongside Jan Eglinger, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 293 | |
| 2 | 2018 | 232 | |
| 3 | 2020 | 228 | |
| 4 | 2017 | 194 | |
| 5 | 2017 | 159 | |
| 6 | Cohesin and CTCF control the dynamics of chromosome folding Hit paper breakdown → | 2022 | 156 |
| 7 | 2010 | 106 | |
| 8 | 2012 | 88 | |
| 9 | 2017 | 65 | |
| 10 | 2020 | 54 | |
| 11 | 2016 | 52 | |
| 12 | 2017 | 43 | |
| 13 | 2019 | 27 | |
| 14 | 2020 | 25 | |
| 15 | 2015 | 20 | |
| 16 | 2019 | 17 | |
| 17 | 2015 | 12 | |
| 18 | 2017 | 8 | |
| 19 | 2007 | 6 | |
| 20 | 2020 | 3 |
About Jan Eglinger
Jan Eglinger is a scholar working on Molecular Biology, Surgery, Cell Biology, Physiology and Biophysics, having authored 25 papers that have together received 1.8k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (3 papers), CRISPR and Genetic Engineering (3 papers), RNA modifications and cancer (3 papers), DNA Repair Mechanisms (2 papers), Molecular Biology Techniques and Applications (2 papers) and Cell Image Analysis Techniques (2 papers). The work is most often cited by research in Aging (56 citations), Molecular Biology (1.4k citations), Cell Biology (279 citations), Biophysics (60 citations) and Structural Biology (12 citations). Jan Eglinger has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Eckhard Lammert, Jeffrey A. Chao, Franka Voigt, Grégory Roth, Boris Strilić, Daniel Matějů, Bastian Eichenberger, Tomáš Kučera, Elisabetta Dejana and Sachiko Tsukita. Their work appears in journals such as Molecular Cell, Nature Protocols, Nature Chemical Biology, Novartis Foundation symposium and PLoS 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.