Daniel Jost
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
- DNA and Nucleic Acid Chemistry
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Plant Science top 10%
- Chromosomal and Genetic Variations
Papers in
-
- Genomics and Chromatin Dynamics 36
- RNA Research and Splicing 23
- RNA and protein synthesis mechanisms 17
- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 5
- DNA and Nucleic Acid Chemistry 4
- CRISPR and Genetic Engineering 3
- Genetics 8
- Co-authors
- Cédric Vaillant (15 shared papers)Giacomo Cavalli (5 shared papers)Pascal Carrivain (2 shared papers)Ralf Everaers (7 shared papers)Surya Kanta Ghosh (2 shared papers)Maxime M. C. Tortora (7 shared papers)Erel Levine (3 shared papers)Caroline Jacquier (2 shared papers)
- Journals
- Nucleic Acids Research (8 papers)Nature Communications (4 papers)Biophysical Journal (3 papers)Current Opinion in Genetics & Development (3 papers)PLoS Computational Biology (3 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Daniel Jost
56 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 1.3k
- Plant Science 345
- Structural Biology 9
- Genetics 152
- Biophysics 32
Countries citing papers authored by Daniel Jost
This map shows the geographic impact of Daniel Jost'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 Daniel Jost with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Jost more than expected).
Fields of papers citing papers by Daniel Jost
This network shows the impact of papers produced by Daniel Jost. 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 Daniel Jost. The network helps show where Daniel Jost may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Jost, 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 56 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 310 | |
| 2 | 2018 | 186 | |
| 3 | 2018 | 61 | |
| 4 | 2007 | 58 | |
| 5 | 2018 | 57 | |
| 6 | 2017 | 55 | |
| 7 | 2017 | 51 | |
| 8 | 2019 | 48 | |
| 9 | 2020 | 40 | |
| 10 | 2014 | 37 | |
| 11 | 2013 | 36 | |
| 12 | 2023 | 33 | |
| 13 | 2008 | 32 | |
| 14 | 2020 | 32 | |
| 15 | 2021 | 31 | |
| 16 | 2011 | 31 | |
| 17 | 2016 | 29 | |
| 18 | 2007 | 26 | |
| 19 | 2020 | 25 | |
| 20 | 2019 | 25 |
About Daniel Jost
Daniel Jost is a scholar working on Molecular Biology, Genetics, Plant Science, Ecological Modeling and Aging, having authored 56 papers that have together received 1.5k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (36 papers), RNA Research and Splicing (23 papers), RNA and protein synthesis mechanisms (17 papers), Epigenetics and DNA Methylation (8 papers), Chromosomal and Genetic Variations (8 papers), RNA modifications and cancer (5 papers), DNA and Nucleic Acid Chemistry (4 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Molecular Biology (1.3k citations), Plant Science (345 citations), Structural Biology (9 citations), Genetics (152 citations) and Biophysics (32 citations). Daniel Jost has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Cédric Vaillant, Giacomo Cavalli, Pascal Carrivain, Ralf Everaers, Surya Kanta Ghosh, Maxime M. C. Tortora, Erel Levine, Caroline Jacquier, Jia‐Ming Chang and Diego Ignacio Cattoni. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Biophysical Journal, Current Opinion in Genetics & Development and PLoS Computational 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.