Bernard Offmann

2.0k total citations
60 papers, 1.5k citations indexed

About

Bernard Offmann is a scholar working on Molecular Biology, Materials Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Bernard Offmann has authored 60 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, 13 papers in Materials Chemistry and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Bernard Offmann's work include Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (13 papers) and Machine Learning in Bioinformatics (11 papers). Bernard Offmann is often cited by papers focused on Protein Structure and Dynamics (25 papers), Enzyme Structure and Function (13 papers) and Machine Learning in Bioinformatics (11 papers). Bernard Offmann collaborates with scholars based in France, Réunion and India. Bernard Offmann's co-authors include Frédéric Cadet, Manoj Tyagi, Narayanaswamy Srinivasan, Alexandre G. de Brevern, Ramanathan Sowdhamini, Jean-Yves Hoarau, Matthieu Ng Fuk Chong, Aurélie Bornot, Brigitte Gontero and Jean‐François Picimbon and has published in prestigious journals such as Nucleic Acids Research, PLoS ONE and Chemical Communications.

In The Last Decade

Bernard Offmann

58 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernard Offmann France 22 949 308 278 185 184 60 1.5k
Fen Li China 23 852 0.9× 301 1.0× 102 0.4× 93 0.5× 50 0.3× 110 1.3k
J. Van Beeumen Belgium 19 811 0.9× 181 0.6× 115 0.4× 90 0.5× 171 0.9× 39 1.6k
Masaru Funatsu Japan 21 998 1.1× 287 0.9× 147 0.5× 172 0.9× 97 0.5× 172 1.7k
Dawei Li China 22 987 1.0× 437 1.4× 123 0.4× 208 1.1× 31 0.2× 98 1.5k
Tiziana Lodi Italy 23 1.4k 1.5× 186 0.6× 69 0.2× 212 1.1× 99 0.5× 76 1.8k
Н.Н. Угарова Russia 20 1.2k 1.2× 72 0.2× 86 0.3× 354 1.9× 578 3.1× 110 1.5k
Johann Salnikow Germany 24 1.0k 1.1× 152 0.5× 113 0.4× 62 0.3× 48 0.3× 54 1.5k
Peter A. Jekel Netherlands 22 902 1.0× 149 0.5× 171 0.6× 113 0.6× 63 0.3× 42 1.3k
Yunfei Hu China 20 881 0.9× 551 1.8× 139 0.5× 33 0.2× 100 0.5× 85 1.7k
Hervé Degand Belgium 19 1.4k 1.4× 696 2.3× 32 0.1× 66 0.4× 117 0.6× 36 1.8k

Countries citing papers authored by Bernard Offmann

Since Specialization
Citations

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

Fields of papers citing papers by Bernard Offmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Offmann

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

All Works

20 of 20 papers shown
1.
Graton, Jérôme, et al.. (2024). Antioxidant properties of catechin and its 3′O-α-glucoside: Insights from computational chemistry calculations. Computational and Theoretical Chemistry. 1236. 114608–114608. 3 indexed citations
2.
3.
Loirand, Gervaise, et al.. (2021). Structural Design and Analysis of the RHOA-ARHGEF1 Binding Mode: Challenges and Applications for Protein-Protein Interface Prediction. Frontiers in Molecular Biosciences. 8. 643728–643728. 3 indexed citations
4.
Wiltschi, Birgit, et al.. (2020). A Machine Learning Approach for Efficient Selection of Enzyme Concentrations and Its Application for Flux Optimization. Catalysts. 10(3). 291–291. 14 indexed citations
5.
Brevern, Alexandre G. de, et al.. (2019). Structural variations within proteins can be as large as variations observed across their homologues. Biochimie. 167. 162–170. 5 indexed citations
6.
Maffucci, Irene, et al.. (2019). Genetic background and immunological status influence B cell repertoire diversity in mice. Scientific Reports. 9(1). 14261–14261. 5 indexed citations
7.
Cadet, Frédéric, Guangyue Li, Joaquı́n Sanchis, et al.. (2018). A machine learning approach for reliable prediction of amino acid interactions and its application in the directed evolution of enantioselective enzymes. Scientific Reports. 8(1). 16757–16757. 102 indexed citations
8.
Mahajan, Swapnil, Manoj Tyagi, Yves‐Henri Sanejouand, et al.. (2017). Knowledge-based prediction of protein backbone conformation using a structural alphabet. PLoS ONE. 12(11). e0186215–e0186215. 14 indexed citations
9.
Labbé, Pauline, Emilie Faure, Simon Lecointe, et al.. (2017). The alternatively spliced LRRFIP1 Isoform-1 is a key regulator of the Wnt/β-catenin transcription pathway. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research. 1864(7). 1142–1152. 14 indexed citations
10.
Grondin-Pérez, Brigitte, et al.. (2015). Modeling of a Cell-Free Synthetic System for Biohydrogen Production. Journal of Computer Science & Systems Biology. 8(3). 3 indexed citations
11.
Berland, Magali, et al.. (2014). A web-based tool for rational screening of mutants libraries using ProSAR. Protein Engineering Design and Selection. 27(10). 375–381. 16 indexed citations
12.
Fuchs, Patrick, et al.. (2013). Insights on pH-dependent conformational changes of mosquito odorant binding proteins by molecular dynamics simulations. Journal of Biomolecular Structure and Dynamics. 32(11). 1742–1751. 14 indexed citations
13.
Mahajan, Swapnil, Alexandre G. de Brevern, Bernard Offmann, & Narayanaswamy Srinivasan. (2013). Correlation between local structural dynamics of proteins inferred from NMR ensembles and evolutionary dynamics of homologues of known structure. Journal of Biomolecular Structure and Dynamics. 32(5). 751–758. 6 indexed citations
14.
Chong, Matthieu Ng Fuk, et al.. (2013). Comparative Genomics of Odorant Binding Proteins in Anopheles gambiae, Aedes aegypti, and Culex quinquefasciatus. Genome Biology and Evolution. 5(1). 163–180. 89 indexed citations
15.
Groben, R., Dimitrios Kaloudas, Christine A. Raines, et al.. (2010). Comparative sequence analysis of CP12, a small protein involved in the formation of a Calvin cycle complex in photosynthetic organisms. Photosynthesis Research. 103(3). 183–194. 56 indexed citations
16.
Shameer, Khader, et al.. (2008). PURE: A webserver for the prediction of domains in unassigned regions in proteins. BMC Bioinformatics. 9(1). 281–281. 11 indexed citations
17.
Tyagi, Manoj, V. S. Gowri, Narayanaswamy Srinivasan, Alexandre G. de Brevern, & Bernard Offmann. (2006). A substitution matrix for structural alphabet based on structural alignment of homologous proteins and its applications. Proteins Structure Function and Bioinformatics. 65(1). 32–39. 49 indexed citations
18.
Gardebien, Fabrice, et al.. (2006). Construction of a 3D model of CP12, a protein linker. Journal of Molecular Graphics and Modelling. 25(2). 186–195. 38 indexed citations
19.
Besnard, Guillaume, et al.. (2002). Assessment of the C4 phosphoenolpyruvate carboxylase gene diversity in grasses (Poaceae). Theoretical and Applied Genetics. 105(2). 404–412. 8 indexed citations
20.
Hoarau, Jean-Yves, L. Grivet, Bernard Offmann, et al.. (2002). Genetic dissection of a modern sugarcane cultivar (Saccharum spp.).II. Detection of QTLs for yield components. Theoretical and Applied Genetics. 105(6). 1027–1037. 89 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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