Ludmilla Aristilde

3.1k total citations
76 papers, 2.3k citations indexed

About

Ludmilla Aristilde is a scholar working on Molecular Biology, Pollution and Biomaterials. According to data from OpenAlex, Ludmilla Aristilde has authored 76 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 19 papers in Pollution and 11 papers in Biomaterials. Recurrent topics in Ludmilla Aristilde's work include Microbial Metabolic Engineering and Bioproduction (18 papers), Clay minerals and soil interactions (9 papers) and Biofuel production and bioconversion (9 papers). Ludmilla Aristilde is often cited by papers focused on Microbial Metabolic Engineering and Bioproduction (18 papers), Clay minerals and soil interactions (9 papers) and Biofuel production and bioconversion (9 papers). Ludmilla Aristilde collaborates with scholars based in United States, France and Australia. Ludmilla Aristilde's co-authors include Rebecca A. Wilkes, Garrison Sposito, Laurent Charlet, Bruno Lanson, François M. M. Morel, Yan Xu, Jocelyne Brendlé, Claire Marichal, Anastasios Melis and Amy L. Pochodylo and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Ludmilla Aristilde

71 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ludmilla Aristilde United States 25 1.0k 481 401 389 379 76 2.3k
Cai Zhang China 28 1.3k 1.3× 176 0.4× 360 0.9× 371 1.0× 366 1.0× 77 3.0k
Michael Gatheru Waigi China 28 1.3k 1.3× 340 0.7× 140 0.3× 246 0.6× 357 0.9× 61 2.4k
Guoqing Shen China 33 692 0.7× 516 1.1× 134 0.3× 348 0.9× 568 1.5× 79 2.7k
Xinying Zhang China 29 1.0k 1.0× 235 0.5× 223 0.6× 192 0.5× 448 1.2× 140 2.5k
Jing Hou China 26 908 0.9× 216 0.4× 151 0.4× 295 0.8× 384 1.0× 73 3.0k
Xingmin Rong China 27 750 0.7× 280 0.6× 403 1.0× 182 0.5× 266 0.7× 54 2.3k
Merja Itävaara Finland 31 745 0.7× 396 0.8× 585 1.5× 276 0.7× 258 0.7× 65 2.6k
Koichi Fujie Japan 29 712 0.7× 375 0.8× 488 1.2× 273 0.7× 1.1k 3.0× 172 3.0k
Kai Wang China 30 1.0k 1.0× 214 0.4× 304 0.8× 329 0.8× 240 0.6× 143 3.0k
Thierry Lebeau France 27 897 0.9× 357 0.7× 243 0.6× 179 0.5× 223 0.6× 79 2.6k

Countries citing papers authored by Ludmilla Aristilde

Since Specialization
Citations

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

Fields of papers citing papers by Ludmilla Aristilde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ludmilla Aristilde

This figure shows the co-authorship network connecting the top 25 collaborators of Ludmilla Aristilde. A scholar is included among the top collaborators of Ludmilla Aristilde 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 Ludmilla Aristilde. Ludmilla Aristilde 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.
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Zhou, Nanqing, Rebecca A. Wilkes, Xinyu Chen, et al.. (2025). Quantitative decoding of coupled carbon and energy metabolism in Pseudomonas putida for lignin carbon utilization. Communications Biology. 8(1). 1310–1310.
3.
Wilkes, Rebecca A., Tarryn E. Miller, Jacob Waldbauer, et al.. (2025). Engineered Membrane Vesicle Production via oprF or oprI Deletion Has Distinct Phenotypic Effects in Pseudomonas putida. ACS Synthetic Biology. 14(7). 2739–2752.
4.
Werner, Allison Z., Richard J. Giannone, Dana L. Carper, et al.. (2025). A distinct subpopulation of membrane vesicles in Pseudomonas putida is enriched in enzymes for lignin catabolism. Applied and Environmental Microbiology. 91(10). e0161725–e0161725.
5.
Bone, Sharon, et al.. (2025). Quantitative Benchmarking of Catalytic Parameters for Enzyme-Mimetic Ribonucleotide Dephosphorylation by Iron Oxide Minerals. Environmental Science & Technology. 59(11). 5568–5584. 1 indexed citations
6.
Aristilde, Ludmilla, et al.. (2024). Electrostatic coupling and water bridging in adsorption hierarchy of biomolecules at water–clay interfaces. Proceedings of the National Academy of Sciences. 121(7). e2316569121–e2316569121. 8 indexed citations
7.
Karim, Ashty S., Ludmilla Aristilde, Yogesh Goyal, et al.. (2024). Deconstructing synthetic biology across scales: a conceptual approach for training synthetic biologists. Nature Communications. 15(1). 5425–5425. 6 indexed citations
8.
Wilkes, Rebecca A., Nanqing Zhou, Austin L. Carroll, et al.. (2024). Mechanisms of Polyethylene Terephthalate Pellet Fragmentation into Nanoplastics and Assimilable Carbons by Wastewater Comamonas. Environmental Science & Technology. 58(43). 19338–19352. 13 indexed citations
9.
Klein, Annaleise R., et al.. (2022). Dynamic utilization of low-molecular-weight organic substrates across a microbial growth rate gradient. Journal of Applied Microbiology. 133(3). 1479–1495. 3 indexed citations
10.
Strandmann, Philip A.E. Pogge von, Xianyi Liu, David J. Wilson, et al.. (2022). Lithium isotope behaviour during basalt weathering experiments amended with organic acids. Geochimica et Cosmochimica Acta. 328. 37–57. 19 indexed citations
11.
Blair, Neal E., et al.. (2022). Metabolomics analysis of unresolved molecular variability in stoichiometry dynamics of a stream dissolved organic matter. Water Research. 223. 118923–118923. 6 indexed citations
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13.
Ankrah, Nana Y. D., et al.. (2020). Syntrophic splitting of central carbon metabolism in host cells bearing functionally different symbiotic bacteria. The ISME Journal. 14(8). 1982–1993. 12 indexed citations
14.
Ankrah, Nana Y. D., et al.. (2019). The Metabolome of Associations between Xylem-Feeding Insects and their Bacterial Symbionts. Journal of Chemical Ecology. 46(8). 735–744. 15 indexed citations
15.
Kukurugya, Matthew A., et al.. (2019). Multi-omics analysis unravels a segregated metabolic flux network that tunes co-utilization of sugar and aromatic carbons in Pseudomonas putida. Journal of Biological Chemistry. 294(21). 8464–8479. 52 indexed citations
16.
17.
Aristilde, Ludmilla, et al.. (2018). Substrate binding versus escape dynamics in a pH-affected fungal beta-glucosidase revealed by molecular dynamics simulations. Carbohydrate Research. 472. 127–131. 4 indexed citations
18.
Pochodylo, Amy L., et al.. (2016). Adsorption mechanisms of microcystin variant conformations at water–mineral interfaces: A molecular modeling investigation. Journal of Colloid and Interface Science. 480. 166–174. 33 indexed citations
19.
McBride, Murray B., et al.. (2016). Solubility, structure, and morphology in the co-precipitation of cadmium and zinc with calcium-oxalate. Journal of Colloid and Interface Science. 486. 309–315. 29 indexed citations
20.

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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