Daniela Röthlisberger

4.1k total citations · 2 hit papers
12 papers, 3.1k citations indexed

About

Daniela Röthlisberger is a scholar working on Molecular Biology, Materials Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Daniela Röthlisberger has authored 12 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Materials Chemistry and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Daniela Röthlisberger's work include Enzyme Structure and Function (5 papers), Enzyme Catalysis and Immobilization (5 papers) and Protein Structure and Dynamics (4 papers). Daniela Röthlisberger is often cited by papers focused on Enzyme Structure and Function (5 papers), Enzyme Catalysis and Immobilization (5 papers) and Protein Structure and Dynamics (4 papers). Daniela Röthlisberger collaborates with scholars based in United States, Switzerland and Israel. Daniela Röthlisberger's co-authors include David Baker, K. N. Houk, Alexandre Zanghellini, Eric A. Althoff, Lin Jiang, Jasmine L. Gallaher, Jamie L. Betker, Shira Albeck, Orly Dym and Olga Khersonsky and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniela Röthlisberger

12 papers receiving 3.1k 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.

Kemp elimination catalysts by computational enzyme design

2008 975 citations Daniela Röthlisberger, Olga Khersonsky et al. Nature profile →
De Novo Computational Design of Retro-Aldol Enzymes

2008 890 citations Lin Jiang, Eric A. Althoff et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniela Röthlisberger United States	12	2.8k	881	487	343	287	12	3.1k
Alexandre Zanghellini United States	6	2.5k 0.9×	813 0.9×	194 0.4×	445 1.3×	281 1.0×	8	2.9k
Jasmine L. Gallaher United States	9	2.8k 1.0×	800 0.9×	194 0.4×	486 1.4×	391 1.4×	9	3.5k
Eric A. Althoff United States	9	2.1k 0.8×	687 0.8×	165 0.3×	362 1.1×	225 0.8×	11	2.4k
Andrew M. Wollacott United States	18	1.9k 0.7×	619 0.7×	225 0.5×	232 0.7×	138 0.5×	22	2.3k
Jamie L. Betker United States	9	1.9k 0.7×	553 0.6×	136 0.3×	263 0.8×	220 0.8×	17	2.2k
Birte Höcker Germany	28	2.0k 0.7×	730 0.8×	148 0.3×	175 0.5×	146 0.5×	69	2.4k
Gert Kiss United States	14	1.9k 0.7×	575 0.7×	95 0.2×	364 1.1×	215 0.7×	19	2.2k
Emily C. Mundorff United States	15	2.1k 0.8×	320 0.4×	181 0.4×	652 1.9×	490 1.7×	22	2.6k
Matthew J. Cliff United Kingdom	29	1.7k 0.6×	615 0.7×	125 0.3×	245 0.7×	130 0.5×	73	2.4k
Stephen F. Betz United States	24	2.6k 0.9×	616 0.7×	155 0.3×	291 0.8×	48 0.2×	58	3.1k

Countries citing papers authored by Daniela Röthlisberger

Since Specialization

Citations

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

Fields of papers citing papers by Daniela Röthlisberger

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Röthlisberger

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

All Works

Sort: Min cites: Since: Top N: Style:

12 of 12 papers shown

Khersonsky, Olga, Gert Kiss, Daniela Röthlisberger, et al.. (2012). Bridging the gaps in design methodologies by evolutionary optimization of the stability and proficiency of designed Kemp eliminase KE59. Proceedings of the National Academy of Sciences. 109(26). 10358–10363. 189 indexed citations

Khersonsky, Olga, Daniela Röthlisberger, Andrew M. Wollacott, et al.. (2011). Optimization of the In-Silico-Designed Kemp Eliminase KE70 by Computational Design and Directed Evolution. Journal of Molecular Biology. 407(3). 391–412. 137 indexed citations

Kiss, Gert, Daniela Röthlisberger, David Baker, & K. N. Houk. (2010). Evaluation and ranking of enzyme designs. Protein Science. 19(9). 1760–1773. 88 indexed citations

Khersonsky, Olga, Daniela Röthlisberger, Orly Dym, et al.. (2009). Evolutionary Optimization of Computationally Designed Enzymes: Kemp Eliminases of the KE07 Series. Journal of Molecular Biology. 396(4). 1025–1042. 145 indexed citations

Honegger, Annemarie, et al.. (2009). The influence of the framework core residues on the biophysical properties of immunoglobulin heavy chain variable domains. Protein Engineering Design and Selection. 22(3). 121–134. 56 indexed citations

Röthlisberger, Daniela, Olga Khersonsky, Andrew M. Wollacott, et al.. (2008). Kemp elimination catalysts by computational enzyme design. Nature. 453(7192). 190–195. 975 indexed citations breakdown →

Alexandrova, Anastassia N., Daniela Röthlisberger, David Baker, & William L. Jorgensen. (2008). Catalytic Mechanism and Performance of Computationally Designed Enzymes for Kemp Elimination. Journal of the American Chemical Society. 130(47). 15907–15915. 78 indexed citations

Jiang, Lin, Eric A. Althoff, Fernando R. Clemente, et al.. (2008). De Novo Computational Design of Retro-Aldol Enzymes. Science. 319(5868). 1387–1391. 890 indexed citations breakdown →

Huber, Thomas, Daniel Steiner, Daniela Röthlisberger, & Andreas Plückthun. (2007). In vitro selection and characterization of DARPins and Fab fragments for the co-crystallization of membrane proteins: The Na+-citrate symporter CitS as an example. Journal of Structural Biology. 159(2). 206–221. 51 indexed citations

10.

Zanghellini, Alexandre, Lin Jiang, Andrew M. Wollacott, et al.. (2006). New algorithms and an in silico benchmark for computational enzyme design. Protein Science. 15(12). 2785–2794. 259 indexed citations

11.

Röthlisberger, Daniela, Annemarie Honegger, & Andreas Plückthun. (2005). Domain Interactions in the Fab Fragment: A Comparative Evaluation of the Single-chain Fv and Fab Format Engineered with Variable Domains of Different Stability. Journal of Molecular Biology. 347(4). 773–789. 234 indexed citations

12.

Röthlisberger, Daniela, Klaas M. Pos, & Andreas Plückthun. (2004). An antibody library for stabilizing and crystallizing membrane proteins – selecting binders to the citrate carrier CitS. FEBS Letters. 564(3). 340–348. 38 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.

Explore authors with similar magnitude of impact