Daniel Jost

2.7k total citations
53 papers, 1.5k citations indexed

About

Daniel Jost is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Daniel Jost has authored 53 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 11 papers in Plant Science and 7 papers in Genetics. Recurrent topics in Daniel Jost's work include Genomics and Chromatin Dynamics (35 papers), RNA Research and Splicing (22 papers) and RNA and protein synthesis mechanisms (16 papers). Daniel Jost is often cited by papers focused on Genomics and Chromatin Dynamics (35 papers), RNA Research and Splicing (22 papers) and RNA and protein synthesis mechanisms (16 papers). Daniel Jost collaborates with scholars based in France, United States and Germany. Daniel Jost's co-authors include Cédric Vaillant, Giacomo Cavalli, Pascal Carrivain, Ralf Everaers, Surya K. Ghosh, Marco Di Stefano, Maxime M. C. Tortora, Tom Sexton, Erel Levine and Julian Gurgo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Daniel Jost

53 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Daniel Jost France	22	1.3k	382	161	77	39	53	1.5k
Basuthkar J. Rao India	23	967 0.7×	177 0.5×	248 1.5×	73 0.9×	28 0.7×	63	1.2k
Christopher J. Fischer United States	18	977 0.7×	90 0.2×	267 1.7×	102 1.3×	55 1.4×	42	1.3k
Weronika Patena United States	12	1.0k 0.8×	108 0.3×	118 0.7×	77 1.0×	27 0.7×	13	1.3k
Hugo B. Brandão United States	16	2.1k 1.6×	656 1.7×	356 2.2×	110 1.4×	68 1.7×	24	2.3k
Bertram Daum Germany	18	1.3k 1.0×	152 0.4×	183 1.1×	294 3.8×	23 0.6×	38	1.6k
Sergey V. Ulianov Russia	17	1.5k 1.2×	459 1.2×	201 1.2×	37 0.5×	95 2.4×	58	1.7k
Anjali Gupta United States	15	285 0.2×	148 0.4×	104 0.6×	44 0.6×	54 1.4×	37	751
Basuthkar J. Rao India	15	642 0.5×	74 0.2×	96 0.6×	39 0.5×	21 0.5×	43	795
Guy Nir United States	9	433 0.3×	134 0.4×	77 0.5×	29 0.4×	23 0.6×	16	531
J.L. Llacer Spain	14	1.3k 1.0×	109 0.3×	140 0.9×	123 1.6×	23 0.6×	18	1.5k

Countries citing papers authored by Daniel Jost

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Jost

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Jost. A scholar is included among the top collaborators of Daniel Jost 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 Daniel Jost. Daniel Jost is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Tortora, Maxime M. C., et al.. (2024). DNA Replication and Polymer Chain Duplication Reshape the Genome in Space and Time. Physical Review X. 14(4). 1 indexed citations

Tortora, Maxime M. C., et al.. (2023). 4D epigenomics: deciphering the coupling between genome folding and epigenomic regulation with biophysical modeling. Current Opinion in Genetics & Development. 79. 102033–102033. 8 indexed citations

Orsi, Guillermo A., Maxime M. C. Tortora, Béatrice Horard, et al.. (2023). Biophysical ordering transitions underlie genome 3D re-organization during cricket spermiogenesis. Nature Communications. 14(1). 4187–4187. 5 indexed citations

Jost, Daniel, et al.. (2022). 3DPolyS-LE: an accessible simulation framework to model the interplay between chromatin and loop extrusion. Bioinformatics. 38(24). 5454–5456. 4 indexed citations

Vaillant, Cédric, et al.. (2022). Painters in chromatin: a unified quantitative framework to systematically characterize epigenome regulation and memory. Nucleic Acids Research. 50(16). 9083–9104. 13 indexed citations

Fanchon, Éric, et al.. (2022). Dynamical modeling of the H3K27 epigenetic landscape in mouse embryonic stem cells. PLoS Computational Biology. 18(9). e1010450–e1010450. 10 indexed citations

Qi, Yifeng, Marco Di Stefano, Andrea Esposito, et al.. (2022). 3DGenBench: a web-server to benchmark computational models for 3D Genomics. Nucleic Acids Research. 50(W1). W4–W12. 10 indexed citations

Stefano, Marco Di, Hans‐Wilhelm Nützmann, Marc A. Martı́-Renom, & Daniel Jost. (2021). Polymer modelling unveils the roles of heterochromatin and nucleolar organizing regions in shaping 3D genome organization in Arabidopsis thaliana. Nucleic Acids Research. 49(4). 1840–1858. 30 indexed citations

Jost, Daniel, et al.. (2021). RNA polymerase backtracking results in the accumulation of fission yeast condensin at active genes. Life Science Alliance. 4(6). e202101046–e202101046. 11 indexed citations

10.

Bateman, Jack R, Armando Reimer, Nicholas C Lammers, et al.. (2021). Live imaging and biophysical modeling support a button-based mechanism of somatic homolog pairing in Drosophila. eLife. 10. 18 indexed citations

11.

Stefano, Marco Di, Jonas Paulsen, Daniel Jost, & Marc A. Martı́-Renom. (2020). 4D nucleome modeling. Current Opinion in Genetics & Development. 67. 25–32. 29 indexed citations

12.

Socol, Marius, Renjie Wang, Daniel Jost, et al.. (2019). Rouse model with transient intramolecular contacts on a timescale of seconds recapitulates folding and fluctuation of yeast chromosomes. Nucleic Acids Research. 47(12). 6195–6207. 44 indexed citations

13.

Jost, Daniel, et al.. (2017). Perspectives: using polymer modeling to understand the formation and function of nuclear compartments. Chromosome Research. 25(1). 35–50. 51 indexed citations

14.

Jost, Daniel, Cédric Vaillant, & Peter Meister. (2016). Coupling 1D modifications and 3D nuclear organization: data, models and function. Current Opinion in Cell Biology. 44. 20–27. 29 indexed citations

15.

Peterman, Neil, et al.. (2014). Quantitative effect of target translation on small RNA efficacy reveals a novel mode of interaction. Nucleic Acids Research. 42(19). 12200–12211. 10 indexed citations

16.

Jost, Daniel, et al.. (2013). Regulating the Many to Benefit the Few: Role of Weak Small RNA Targets. Biophysical Journal. 104(8). 1773–1782. 20 indexed citations

17.

Jost, Daniel, Asif Zubair, & Ralf Everaers. (2011). Bubble statistics and positioning in superhelically stressed DNA. Physical Review E. 84(3). 31912–31912. 13 indexed citations

18.

Jost, Daniel, et al.. (2011). Small RNA biology is systems biology. BMB Reports. 44(1). 11–21. 28 indexed citations

19.

Jost, Daniel, et al.. (2010). Resurrecting the 'adventure-style' playground: two new playgrounds in Central Park honor the past and offer hope for the future of playground design. Landscape architecture. 100(3). 44–63. 2 indexed citations

20.

Jost, Daniel & Ralf Everaers. (2009). Genome wide application of DNA melting analysis. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

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.

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