Charlotta Schärfe

2.3k total citations · 1 hit paper
15 papers, 1.3k citations indexed

About

Charlotta Schärfe is a scholar working on Molecular Biology, Genetics and Computer Networks and Communications. According to data from OpenAlex, Charlotta Schärfe has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 5 papers in Genetics and 3 papers in Computer Networks and Communications. Recurrent topics in Charlotta Schärfe's work include Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers) and Distributed and Parallel Computing Systems (3 papers). Charlotta Schärfe is often cited by papers focused on Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers) and Distributed and Parallel Computing Systems (3 papers). Charlotta Schärfe collaborates with scholars based in Germany, United States and United Kingdom. Charlotta Schärfe's co-authors include Debora S. Marks, Thomas A. Hopf, Chris Sander, Oliver Kohlbacher, John Ingraham, Michael Springer, Frank J. Poelwijk, Anna G. Green, João Rodrigues and Alexandre M. J. J. Bonvin and has published in prestigious journals such as Blood, Nature Biotechnology and Bioinformatics.

In The Last Decade

Charlotta Schärfe

14 papers receiving 1.3k 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.

Mutation effects predicted from sequence co-variation

2017 447 citations Thomas A. Hopf, John Ingraham et al. Nature Biotechnology profile →

Peers

Charlotta Schärfe

MB

GENET

MC

CTM

IMMUN

Vijayalakshmi Chelliah United Kingdom

Anatoly Sorokin Russia

Anurag Sethi United States

Arnaud Céol Italy

Jonathan R. Karr United States

Paul W. Finn United Kingdom

Natalia Maltsev United States

Rocco Moretti United States

Sergey Lyskov United States

Kristian Rother Poland

Vijayalakshmi Chelliah United Kingdom

Charlotta Schärfe

1.2k ×1.1

MB

102 ×0.3

GENET

135 ×1.0

MC

227 ×2.1

CTM

36 ×0.5

IMMUN

Citations per year, relative to Charlotta Schärfe Charlotta Schärfe (= 1×) peers Vijayalakshmi Chelliah

Countries citing papers authored by Charlotta Schärfe

Since Specialization

Citations

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

Fields of papers citing papers by Charlotta Schärfe

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Charlotta Schärfe. 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 Charlotta Schärfe. The network helps show where Charlotta Schärfe may publish in the future.

Co-authorship network of co-authors of Charlotta Schärfe

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

All Works

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15 of 15 papers shown

1.

Schärfe, Charlotta, et al.. (2019). ClinVAP: a reporting strategy from variants to therapeutic options. Bioinformatics. 36(7). 2316–2317. 1 indexed citations

2.

Hopf, Thomas A., Anna G. Green, Benjamin Schubert, et al.. (2018). The EVcouplings Python framework for coevolutionary sequence analysis. Bioinformatics. 35(9). 1582–1584. 172 indexed citations

3.

Schubert, Benjamin, et al.. (2018). Population-specific design of de-immunized protein biotherapeutics. PLoS Computational Biology. 14(3). e1005983–e1005983. 17 indexed citations

4.

Schärfe, Charlotta. (2017). Molecular epidemiology as an effective tool for the diagnosis and control of PRRSV infections in pig farms, illustrated using five cases. Berliner und Münchener tierärztliche Wochenschrift. 130.

5.

Schärfe, Charlotta, Roman Tremmel, Matthias Schwab, Oliver Kohlbacher, & Debora S. Marks. (2017). Genetic variation in human drug-related genes. Genome Medicine. 9(1). 117–117. 101 indexed citations

6.

Hopf, Thomas A., John Ingraham, Frank J. Poelwijk, et al.. (2017). Mutation effects predicted from sequence co-variation. Nature Biotechnology. 35(2). 128–135. 447 indexed citations breakdown →

7.

Dietsche, Tobias, Mehari Tesfazgi Mebrhatu, Matthias Brünner, et al.. (2016). Structural and Functional Characterization of the Bacterial Type III Secretion Export Apparatus. PLoS Pathogens. 12(12). e1006071–e1006071. 55 indexed citations

8.

Nicoludis, John M., et al.. (2015). Structure and Sequence Analyses of Clustered Protocadherins Reveal Antiparallel Interactions that Mediate Homophilic Specificity. Structure. 23(11). 2087–2098. 54 indexed citations

9.

Gofman, Yana, Charlotta Schärfe, Debora S. Marks, Türkan Haliloǧlu, & Nir Ben‐Tal. (2014). Structure, Dynamics and Implied Gating Mechanism of a Human Cyclic Nucleotide-Gated Channel. PLoS Computational Biology. 10(12). e1003976–e1003976. 7 indexed citations

10.

Hopf, Thomas A., Charlotta Schärfe, João Rodrigues, et al.. (2014). Data from: Sequence co-evolution gives 3D contacts and structures of protein complexes. Data Archiving and Networked Services (DANS). 3 indexed citations

11.

Krüger, Jens, Richard Grunzke, Sandra Gesing, et al.. (2014). The MoSGrid Science Gateway – A Complete Solution for Molecular Simulations. Journal of Chemical Theory and Computation. 10(6). 2232–2245. 49 indexed citations

12.

Stöckel, Daniel, Nina Fischer, Luis de la Garza, et al.. (2014). ballaxy: web services for structural bioinformatics. Bioinformatics. 31(1). 121–122. 8 indexed citations

13.

Avbelj, Monika, Olaf‐Oliver Wolz, Mojca Benčina, et al.. (2014). Activation of lymphoma-associated MyD88 mutations via allostery-induced TIR-domain oligomerization. Blood. 124(26). 3896–3904. 52 indexed citations

14.

Hopf, Thomas A., Charlotta Schärfe, João Rodrigues, et al.. (2014). Sequence co-evolution gives 3D contacts and structures of protein complexes. eLife. 3. 355 indexed citations

15.

Grunzke, Richard, Sebastian Breuers, Sandra Gesing, et al.. (2013). Standards‐based metadata management for molecular simulations. Concurrency and Computation Practice and Experience. 26(10). 1744–1759. 28 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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