Florian C. Oberstrass

2.7k total citations · 1 hit paper
17 papers, 1.8k citations indexed

About

Florian C. Oberstrass is a scholar working on Molecular Biology, Atomic and Molecular Physics, and Optics and Structural Biology. According to data from OpenAlex, Florian C. Oberstrass has authored 17 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Atomic and Molecular Physics, and Optics and 1 paper in Structural Biology. Recurrent topics in Florian C. Oberstrass's work include RNA and protein synthesis mechanisms (10 papers), RNA Research and Splicing (8 papers) and RNA modifications and cancer (6 papers). Florian C. Oberstrass is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), RNA Research and Splicing (8 papers) and RNA modifications and cancer (6 papers). Florian C. Oberstrass collaborates with scholars based in United States, Switzerland and India. Florian C. Oberstrass's co-authors include Frédéric H.‐T. Allain, Sigrid Auweter, Zev Bryant, A Henning, Michèle C. Erat, Aakash Basu, Richard Štefl, Philipp Wenter, Douglas L. Black and Stefan Pitsch and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Florian C. Oberstrass

17 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq

2022 253 citations Joseph M. Replogle, Reuben A. Saunders et al. Cell profile →

Peers

Florian C. Oberstrass

GENET

ECOLO

AMPO

Alexey Petrov United States

Kristina M. Herbert United States

Richard Štefl Czechia

Gregory D. Bowman United States

Colin Echeverría Aitken United States

Jingyi Fei United States

Katsuyuki Shiroguchi Japan

Roberto Melero Spain

Nicholas R. Guydosh United States

Svetlana Dokudovskaya France

Alexey Petrov United States

Florian C. Oberstrass

1.9k ×1.2

241 ×1.5

GENET

139 ×0.9

157 ×1.4

ECOLO

34 ×0.4

AMPO

Citations per year, relative to Florian C. Oberstrass Florian C. Oberstrass (= 1×) peers Alexey Petrov

Countries citing papers authored by Florian C. Oberstrass

Since Specialization

Citations

This map shows the geographic impact of Florian C. Oberstrass'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 Florian C. Oberstrass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Florian C. Oberstrass more than expected).

Fields of papers citing papers by Florian C. Oberstrass

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Florian C. Oberstrass. 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 Florian C. Oberstrass. The network helps show where Florian C. Oberstrass may publish in the future.

Co-authorship network of co-authors of Florian C. Oberstrass

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

All Works

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17 of 17 papers shown

Replogle, Joseph M., Reuben A. Saunders, Angela N. Pogson, et al.. (2022). Mapping information-rich genotype-phenotype landscapes with genome-scale Perturb-seq. Cell. 185(14). 2559–2575.e28. 253 indexed citations breakdown →

Simmons, Sean, Gila Lithwick‐Yanai, Xian Adiconis, et al.. (2022). Mostly natural sequencing-by-synthesis for scRNA-seq using Ultima sequencing. Nature Biotechnology. 41(2). 204–211. 24 indexed citations

Ivanov, Ivan E., et al.. (2017). Multimodal Measurements of Single-Molecule Dynamics Using FluoRBT. Biophysical Journal. 114(2). 278–282. 15 indexed citations

Basu, Aakash, et al.. (2014). Gold rotor bead tracking for high-speed measurements of DNA twist, torque and extension. Nature Methods. 11(4). 456–462. 73 indexed citations

Oberstrass, Florian C., et al.. (2013). Torque Spectroscopy of DNA: Base-Pair Stability, Boundary Effects, Backbending, and Breathing Dynamics. Physical Review Letters. 110(17). 178103–178103. 29 indexed citations

Bryant, Zev, Florian C. Oberstrass, & Aakash Basu. (2012). Recent developments in single-molecule DNA mechanics. Current Opinion in Structural Biology. 22(3). 304–312. 66 indexed citations

Oberstrass, Florian C., et al.. (2012). Torque Spectroscopy of Sequence-Dependent Structural Transitions in DNA. Biophysical Journal. 102(3). 420a–420a. 1 indexed citations

Oberstrass, Florian C., et al.. (2012). Torque measurements reveal sequence-specific cooperative transitions in supercoiled DNA. Proceedings of the National Academy of Sciences. 109(16). 6106–6111. 82 indexed citations

Štefl, Richard, Florian C. Oberstrass, Jennifer L. Hood, et al.. (2010). The Solution Structure of the ADAR2 dsRBM-RNA Complex Reveals a Sequence-Specific Readout of the Minor Groove. Cell. 143(2). 225–237. 195 indexed citations

10.

Ravindranathan, Sapna, Florian C. Oberstrass, & Frédéric H.‐T. Allain. (2009). Increase in Backbone Mobility of the VTS1p-SAM Domain on Binding to SRE–RNA. Journal of Molecular Biology. 396(3). 732–746. 22 indexed citations

11.

Oberstrass, Florian C., Frédéric H.‐T. Allain, & Sapna Ravindranathan. (2008). Changes in Dynamics of SRE-RNA on Binding to the VTS1p-SAM Domain Studied by ¹³C NMR Relaxation. Journal of the American Chemical Society. 130(36). 12007–12020. 16 indexed citations

12.

Schubert, Mario, Karine Lapouge, Olivier Duss, et al.. (2007). Molecular basis of messenger RNA recognition by the specific bacterial repressing clamp RsmA/CsrA. Nature Structural & Molecular Biology. 14(9). 807–813. 159 indexed citations

13.

Oberstrass, Florian C., et al.. (2006). Shape-specific recognition in the structure of the Vts1p SAM domain with RNA. Nature Structural & Molecular Biology. 13(2). 160–167. 95 indexed citations

14.

Auweter, Sigrid, Florian C. Oberstrass, & Frédéric H.‐T. Allain. (2006). Sequence-specific binding of single-stranded RNA: is there a code for recognition?. Nucleic Acids Research. 34(17). 4943–4959. 247 indexed citations

15.

Auweter, Sigrid, Florian C. Oberstrass, & Frédéric H.‐T. Allain. (2006). Solving the Structure of PTB in Complex with Pyrimidine Tracts: An NMR Study of Protein–RNA Complexes of Weak Affinities†. Journal of Molecular Biology. 367(1). 174–186. 51 indexed citations

16.

Vitali, Francesca, A Henning, Florian C. Oberstrass, et al.. (2005). Structure of the two most C‐terminal RNA recognition motifs of PTB using segmental isotope labeling. The EMBO Journal. 25(1). 150–162. 79 indexed citations

17.

Oberstrass, Florian C., Sigrid Auweter, Michèle C. Erat, et al.. (2005). Structure of PTB Bound to RNA: Specific Binding and Implications for Splicing Regulation. Science. 309(5743). 2054–2057. 366 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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