Anne Richelle

3.0k total citations
34 papers, 606 citations indexed

About

Anne Richelle is a scholar working on Molecular Biology, Control and Systems Engineering and Biomedical Engineering. According to data from OpenAlex, Anne Richelle has authored 34 papers receiving a total of 606 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 12 papers in Control and Systems Engineering and 8 papers in Biomedical Engineering. Recurrent topics in Anne Richelle's work include Microbial Metabolic Engineering and Bioproduction (22 papers), Viral Infectious Diseases and Gene Expression in Insects (17 papers) and Advanced Control Systems Optimization (9 papers). Anne Richelle is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (22 papers), Viral Infectious Diseases and Gene Expression in Insects (17 papers) and Advanced Control Systems Optimization (9 papers). Anne Richelle collaborates with scholars based in United States, Belgium and Canada. Anne Richelle's co-authors include Nathan E. Lewis, Philippe Bogaerts, Benjamin P. Kellman, Daniel C. Zielinski, Chintan Joshi, Austin W.T. Chiang, Chih‐Chung Kuo, Patrick Fickers, Jahir M. Gutierrez and Alain Vande Wouwer and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Trends in biotechnology.

In The Last Decade

Anne Richelle

31 papers receiving 604 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anne Richelle United States 15 502 110 76 39 30 34 606
Craig Zupke United States 10 506 1.0× 94 0.9× 30 0.4× 16 0.4× 14 0.5× 12 589
Francisco J. Planes Spain 16 729 1.5× 173 1.6× 48 0.6× 11 0.3× 42 1.4× 45 849
Christophe Chassagnole France 13 752 1.5× 133 1.2× 37 0.5× 11 0.3× 20 0.7× 37 826
T. Murlidharan Nair United States 11 298 0.6× 19 0.2× 8 0.1× 56 1.4× 25 0.8× 24 461
Brian D. Follstad United States 10 542 1.1× 95 0.9× 19 0.3× 4 0.1× 17 0.6× 14 637
Baozhu Li China 14 274 0.5× 30 0.3× 4 0.1× 17 0.4× 22 0.7× 32 774
Badr RAÏS France 11 320 0.6× 18 0.2× 10 0.1× 9 0.2× 19 0.6× 11 437
Iván Domenzain Sweden 10 901 1.8× 319 2.9× 8 0.1× 5 0.1× 13 0.4× 13 986
Haosong Zhang China 8 222 0.4× 52 0.5× 4 0.1× 7 0.2× 67 2.2× 19 443
Tiago M. Duarte Portugal 8 241 0.5× 44 0.4× 8 0.1× 5 0.1× 12 0.4× 9 316

Countries citing papers authored by Anne Richelle

Since Specialization
Citations

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

Fields of papers citing papers by Anne Richelle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anne Richelle

This figure shows the co-authorship network connecting the top 25 collaborators of Anne Richelle. A scholar is included among the top collaborators of Anne Richelle 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 Anne Richelle. Anne Richelle 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.
Shamie, Isaac, Hratch Baghdassarian, Chih-Chung Kuo, et al.. (2025). A reconstruction of the mammalian secretory pathway identifies mechanisms regulating antibody production. Cell Systems. 16(12). 101453–101453.
2.
Eriksson, Andreas, Anne Richelle, Johan Trygg, et al.. (2025). Time‐Resolved Hierarchical Modeling Highlights Metabolites Influencing Productivity and Cell Death in Chinese Hamster Ovary Cells. Biotechnology Journal. 20(3). e202400624–e202400624.
3.
Richelle, Anne, et al.. (2025). A novel dynamic flux balance analysis for modeling CHO cell fed-batch cultures with pH and temperature shifts. Journal of Biotechnology. 408. 61–71.
4.
Richelle, Anne, et al.. (2024). Systematic Selection of Constraints for a Novel Dynamic Flux Balance Model of Mammalian Cell Cultures. IFAC-PapersOnLine. 58(14). 384–389. 1 indexed citations
5.
Park, Seo‐Young, Meiyappan Lakshmanan, Anne Richelle, et al.. (2024). Driving towards digital biomanufacturing by CHO genome-scale models. Trends in biotechnology. 42(9). 1192–1203. 9 indexed citations
6.
Richelle, Anne, et al.. (2024). A robust batch-to-batch optimization framework for pharmaceutical applications. Computers & Chemical Engineering. 193. 108935–108935. 2 indexed citations
7.
Richelle, Anne, Didier Demaegd, Moritz von Stosch, et al.. (2024). Giving the cells what they need when they need it: Biosensor‐based feeding control. Biotechnology and Bioengineering. 121(4). 1270–1282. 6 indexed citations
8.
Borland, David, Zerong Li, Benjamin P. Kellman, et al.. (2023). ImmCellFie: A user-friendly web-based platform to infer metabolic function from omics data. STAR Protocols. 4(1). 102069–102069. 3 indexed citations
9.
Kellman, Benjamin P., Anne Richelle, Jeong‐Yeh Yang, et al.. (2022). Elucidating Human Milk Oligosaccharide biosynthetic genes through network-based multi-omics integration. Nature Communications. 13(1). 2455–2455. 43 indexed citations
10.
Richelle, Anne, et al.. (2022). Model-based intensification of CHO cell cultures: One-step strategy from fed-batch to perfusion. Frontiers in Bioengineering and Biotechnology. 10. 948905–948905. 9 indexed citations
11.
Granados, Jeffry C., Anne Richelle, Jahir M. Gutierrez, et al.. (2021). Coordinate regulation of systemic and kidney tryptophan metabolism by the drug transporters OAT1 and OAT3. Journal of Biological Chemistry. 296. 100575–100575. 33 indexed citations
12.
Richelle, Anne, Benjamin P. Kellman, Alexander T. Wenzel, et al.. (2021). Model-based assessment of mammalian cell metabolic functionalities using omics data. Cell Reports Methods. 1(3). 100040–100040. 20 indexed citations
13.
Richelle, Anne, et al.. (2020). Towards a widespread adoption of metabolic modeling tools in biopharmaceutical industry: a process systems biology engineering perspective. npj Systems Biology and Applications. 6(1). 6–6. 14 indexed citations
14.
Joshi, Chintan, et al.. (2020). StanDep: Capturing transcriptomic variability improves context-specific metabolic models. PLoS Computational Biology. 16(5). e1007764–e1007764. 17 indexed citations
15.
Richelle, Anne, Chintan Joshi, & Nathan E. Lewis. (2019). Assessing key decisions for transcriptomic data integration in biochemical networks. PLoS Computational Biology. 15(7). e1007185–e1007185. 48 indexed citations
16.
Richelle, Anne, Austin W.T. Chiang, Chih‐Chung Kuo, & Nathan E. Lewis. (2019). Increasing consensus of context-specific metabolic models by integrating data-inferred cell functions. PLoS Computational Biology. 15(4). e1006867–e1006867. 53 indexed citations
17.
Richelle, Anne, et al.. (2017). A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models. Cell Systems. 4(3). 318–329.e6. 153 indexed citations
18.
Richelle, Anne & Nathan E. Lewis. (2017). Improvements in protein production in mammalian cells from targeted metabolic engineering. Current Opinion in Systems Biology. 6. 1–6. 29 indexed citations
19.
Chiang, Austin W.T., Shangzhong Li, Philipp N. Spahn, et al.. (2016). Modulating carbohydrate–protein interactions through glycoengineering of monoclonal antibodies to impact cancer physiology. Current Opinion in Structural Biology. 40. 104–111. 20 indexed citations
20.
Richelle, Anne, et al.. (2015). Macroscopic modelling of bioethanol production from potato peel wastes in batch cultures supplemented with inorganic nitrogen. Bioprocess and Biosystems Engineering. 38(9). 1819–1833. 6 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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