Cristina Benros

420 total citations
8 papers, 349 citations indexed

About

Cristina Benros is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Cristina Benros has authored 8 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Materials Chemistry and 1 paper in Computational Theory and Mathematics. Recurrent topics in Cristina Benros's work include Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers) and RNA and protein synthesis mechanisms (4 papers). Cristina Benros is often cited by papers focused on Protein Structure and Dynamics (8 papers), Enzyme Structure and Function (5 papers) and RNA and protein synthesis mechanisms (4 papers). Cristina Benros collaborates with scholars based in France and United States. Cristina Benros's co-authors include Alexandre G. de Brevern, S. Hazout, Anne‐Claude Camproux, Aurélie Bornot, Hélène Valadié and Romain Gautier and has published in prestigious journals such as BMC Bioinformatics, Proteins Structure Function and Bioinformatics and Journal of Theoretical Biology.

In The Last Decade

Cristina Benros

8 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Cristina Benros France	8	339	148	21	20	14	8	349
Russell L. Marsden United Kingdom	8	325 1.0×	96 0.6×	26 1.2×	9 0.5×	8 0.6×	8	355
Tarun Narwani France	10	167 0.5×	62 0.4×	17 0.8×	24 1.2×	11 0.8×	14	229
Nazim Bouatta United States	4	242 0.7×	53 0.4×	36 1.7×	19 0.9×	7 0.5×	4	291
Marcin J. Domagalski United States	9	219 0.6×	69 0.5×	22 1.0×	11 0.6×	13 0.9×	11	268
Franziska Hoffgaard Germany	9	141 0.4×	22 0.1×	11 0.5×	12 0.6×	24 1.7×	14	190
Alistair S. Dunham United Kingdom	6	232 0.7×	32 0.2×	14 0.7×	9 0.5×	7 0.5×	6	274
Bettina K. Zierer Germany	8	376 1.1×	92 0.6×	64 3.0×	5 0.3×	9 0.6×	9	402
Pál Stráner Hungary	7	153 0.5×	58 0.4×	4 0.2×	14 0.7×	7 0.5×	15	189
Tunde Aderinwale United States	8	159 0.5×	70 0.5×	22 1.0×	13 0.7×	5 0.4×	10	198
Benjamin J. Polacco United States	9	208 0.6×	50 0.3×	17 0.8×	6 0.3×	15 1.1×	17	280

Countries citing papers authored by Cristina Benros

Since Specialization

Citations

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

Fields of papers citing papers by Cristina Benros

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Benros

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Benros. A scholar is included among the top collaborators of Cristina Benros 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 Cristina Benros. Cristina Benros 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:

8 of 8 papers shown

1.

Benros, Cristina, Alexandre G. de Brevern, & S. Hazout. (2008). Analyzing the sequence–structure relationship of a library of local structural prototypes. Journal of Theoretical Biology. 256(2). 215–226. 16 indexed citations

2.

Benros, Cristina, et al.. (2007). A reduced amino acid alphabet for understanding and designing protein adaptation to mutation. European Biophysics Journal. 36(8). 1059–1069. 75 indexed citations

3.

Brevern, Alexandre G. de, et al.. (2007). “Pinning strategy”: a novel approach for predicting the backbone structure in terms of protein blocks from sequence. Journal of Biosciences. 32(1). 51–70. 26 indexed citations

4.

Benros, Cristina, et al.. (2005). A structural alphabet for local protein structures: Improved prediction methods. Proteins Structure Function and Bioinformatics. 59(4). 810–827. 92 indexed citations

5.

Benros, Cristina, et al.. (2005). Assessing a novel approach for predicting local 3D protein structures from sequence. Proteins Structure Function and Bioinformatics. 62(4). 865–880. 35 indexed citations

6.

Brevern, Alexandre G. de, et al.. (2004). Local Backbone Structure Prediction of Proteins. In Silico Biology. 4(3). 381–386. 39 indexed citations

7.

Benros, Cristina, et al.. (2004). Use of a structural alphabet for analysis of short loops connecting repetitive structures. BMC Bioinformatics. 5(1). 58–58. 56 indexed citations

8.

Benros, Cristina, Alexandre G. de Brevern, & S. Hazout. (2004). Hybrid protein model (HPM): a method for building a library of overlapping local structural prototypes. Sensitivity study and improvements of the training. HAL (Le Centre pour la Communication Scientifique Directe). 53–70. 10 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