Almut Heinken

10.3k total citations · 3 hit papers
39 papers, 4.4k citations indexed

About

Almut Heinken is a scholar working on Molecular Biology, Physiology and Rheumatology. According to data from OpenAlex, Almut Heinken has authored 39 papers receiving a total of 4.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 15 papers in Physiology and 4 papers in Rheumatology. Recurrent topics in Almut Heinken's work include Gut microbiota and health (26 papers), Microbial Metabolic Engineering and Bioproduction (17 papers) and Diet and metabolism studies (13 papers). Almut Heinken is often cited by papers focused on Gut microbiota and health (26 papers), Microbial Metabolic Engineering and Bioproduction (17 papers) and Diet and metabolism studies (13 papers). Almut Heinken collaborates with scholars based in Ireland, Luxembourg and Germany. Almut Heinken's co-authors include Ines Thiele, Ian Rowland, Jonathan R. Swann, Karen P. Scott, Kieran Tuohy, Glenn R. Gibson, Ronan M. T. Fleming, Dmitry A. Ravcheev, Johannes Hertel and Laurent Heirendt and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Biotechnology and Bioinformatics.

In The Last Decade

Almut Heinken

37 papers receiving 4.4k 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.

Gut microbiota functions: metabolism of nutrients and other food components

2017 1.9k citations Ian Rowland, Glenn R. Gibson et al. European Journal of Nutrition profile →
Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota

2016 522 citations Stefanía Magnúsdóttir, Almut Heinken et al. Nature Biotechnology profile →
Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine

2023 140 citations Almut Heinken, Johannes Hertel et al. Nature Biotechnology profile →

Peers

Almut Heinken

PHYSI

Yong Fan China

Shaohua Wang United States

Glauben Landskron Chile

Gwénaëlle Le Gall United Kingdom

Dylan Dodd United States

Jing Lin China

Ping Zheng China

Pamela Vernocchi Italy

Renyuan Gao China

Sandrine P. Claus United Kingdom

Yong Fan China

Almut Heinken

3.1k ×0.9

1.0k ×1.0

PHYSI

429 ×0.7

394 ×0.9

347 ×0.8

Citations per year, relative to Almut Heinken Almut Heinken (= 1×) peers Yong Fan

Countries citing papers authored by Almut Heinken

Since Specialization

Citations

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

Fields of papers citing papers by Almut Heinken

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Almut Heinken

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

All Works

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20 of 20 papers shown

Guéant‐Rodriguez, Rosa‐Maria, Jean‐Marc Alberto, Huguette Louis, et al.. (2025). Assessment of Patients With Beta‐Lactams Positive Provocation Tests by Biomarkers of IgG ‐Related Neutrophil Activation. Clinical & Experimental Allergy. 55(12). 1183–1193.

Heinken, Almut, Hussein Awada, Vito Riccardo Tomaso Zanotelli, et al.. (2025). Personalized Genome‐Scale Modeling Reveals Metabolic Perturbations in Fibroblasts of Methylmalonic Aciduria Patients. Journal of Inherited Metabolic Disease. 48(5). e70077–e70077. 1 indexed citations

Heinken, Almut, et al.. (2025). Characterising functional redundancy in microbiome communities via relative entropy. Computational and Structural Biotechnology Journal. 27. 1482–1497. 2 indexed citations

Busi, Susheel Bhanu, et al.. (2024). Personalized modeling of gut microbiome metabolism throughout the first year of life. SHILAP Revista de lepidopterología. 4(1). 281–281. 3 indexed citations

Hirose, Yujiro, Daniel C. Zielinski, Saugat Poudel, et al.. (2024). A genome-scale metabolic model of a globally disseminated hyperinvasive M1 strain of Streptococcus pyogenes. mSystems. 9(9). e0073624–e0073624. 5 indexed citations

Heinken, Almut, et al.. (2024). A systematic review and meta-analysis of proteomic and metabolomic alterations in anaphylaxis reactions. Frontiers in Immunology. 15. 1328212–1328212.

Scott, William T., Sara Benito-Vaquerizo, Johannes Zimmermann, et al.. (2023). A structured evaluation of genome-scale constraint-based modeling tools for microbial consortia. PLoS Computational Biology. 19(8). e1011363–e1011363. 22 indexed citations

Heinken, Almut, et al.. (2023). Towards personalized genome-scale modeling of inborn errors of metabolism for systems medicine applications. Metabolism. 150. 155738–155738. 4 indexed citations

Heinken, Almut, Johannes Hertel, Dmitry A. Ravcheev, et al.. (2023). Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine. Nature Biotechnology. 41(9). 1320–1331. 140 indexed citations breakdown →

10.

Baldini, Federico, Jingqiu Liao, Almut Heinken, et al.. (2023). Preterm birth is associated with xenobiotics and predicted by the vaginal metabolome. Nature Microbiology. 8(2). 246–259. 39 indexed citations

11.

Hertel, Johannes, et al.. (2023). Causal inference on microbiome-metabolome relations in observational host-microbiome data via in silico in vivo association pattern analyses. Cell Reports Methods. 3(10). 100615–100615. 10 indexed citations

12.

Hertel, Johannes, Almut Heinken, Filippo Martinelli Boneschi, & Ines Thiele. (2021). Integration of constraint-based modeling with fecal metabolomics reveals large deleterious effects of Fusobacterium spp. on community butyrate production. Gut Microbes. 13(1). 1–23. 25 indexed citations

13.

Baloni, Priyanka, Cory C. Funk, James T. Yurkovich, et al.. (2020). Metabolic Network Analysis Reveals Altered Bile Acid Synthesis and Cholesterol Metabolism in Alzheimer’s Disease. SSRN Electronic Journal. 7 indexed citations

14.

Heinken, Almut, Dmitry A. Ravcheev, Federico Baldini, et al.. (2019). Systematic assessment of secondary bile acid metabolism in gut microbes reveals distinct metabolic capabilities in inflammatory bowel disease. Microbiome. 7(1). 75–75. 237 indexed citations

15.

Hertel, Johannes, Amy C. Harms, Almut Heinken, et al.. (2019). Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson’s Disease. Cell Reports. 29(7). 1767–1777.e8. 123 indexed citations

16.

Baldini, Federico, Almut Heinken, Laurent Heirendt, et al.. (2018). The Microbiome Modeling Toolbox: from microbial interactions to personalized microbial communities. Bioinformatics. 35(13). 2332–2334. 94 indexed citations

17.

Rowland, Ian, Glenn R. Gibson, Almut Heinken, et al.. (2017). Gut microbiota functions: metabolism of nutrients and other food components. European Journal of Nutrition. 57(1). 1–24. 1880 indexed citations breakdown →

18.

Magnúsdóttir, Stefanía, Almut Heinken, Dmitry A. Ravcheev, et al.. (2016). Generation of genome-scale metabolic reconstructions for 773 members of the human gut microbiota. Nature Biotechnology. 35(1). 81–89. 522 indexed citations breakdown →

19.

Heinken, Almut & Ines Thiele. (2015). Systematic prediction of health-relevant human-microbial co-metabolism through a computational framework. Gut Microbes. 6(2). 120–130. 77 indexed citations

20.

Thiele, Ines, Almut Heinken, & Ronan M. T. Fleming. (2012). A systems biology approach to studying the role of microbes in human health. Current Opinion in Biotechnology. 24(1). 4–12. 76 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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