Carola Petersen

1.3k total citations
20 papers, 737 citations indexed

About

Carola Petersen is a scholar working on Aging, Molecular Biology and Insect Science. According to data from OpenAlex, Carola Petersen has authored 20 papers receiving a total of 737 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Aging, 10 papers in Molecular Biology and 4 papers in Insect Science. Recurrent topics in Carola Petersen's work include Genetics, Aging, and Longevity in Model Organisms (16 papers), Gut microbiota and health (9 papers) and Evolution and Genetic Dynamics (3 papers). Carola Petersen is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (16 papers), Gut microbiota and health (9 papers) and Evolution and Genetic Dynamics (3 papers). Carola Petersen collaborates with scholars based in Germany, United States and France. Carola Petersen's co-authors include Hinrich Schulenburg, Philipp Dirksen, Philip Rosenstiel, Rania Nakad, Sebastian Mäder, Vienna Kowallik, Sarah Marsh, Marie‐Anne Félix, Barbara Pees and Katja Dierking and has published in prestigious journals such as Proceedings of the Royal Society B Biological Sciences, Trends in Genetics and Frontiers in Microbiology.

In The Last Decade

Carola Petersen

20 papers receiving 733 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carola Petersen Germany 12 392 362 139 129 119 20 737
Katja Dierking Germany 17 500 1.3× 564 1.6× 121 0.9× 94 0.7× 112 0.9× 27 1.0k
Barbara Pees Germany 11 182 0.5× 208 0.6× 76 0.5× 47 0.4× 78 0.7× 17 444
Vienna Kowallik Germany 8 153 0.4× 233 0.6× 374 2.7× 82 0.6× 303 2.5× 11 734
Arnaud Defaye France 6 87 0.2× 215 0.6× 660 4.7× 40 0.3× 107 0.9× 7 968
Ralph Clover United States 3 164 0.4× 177 0.5× 33 0.2× 184 1.4× 24 0.2× 3 608
Vincent Coustham France 16 80 0.2× 505 1.4× 14 0.1× 62 0.5× 151 1.3× 35 936
Benjamin Obadia United States 8 45 0.1× 294 0.8× 340 2.4× 88 0.7× 128 1.1× 10 736
Jose Thekkiniath United States 13 71 0.2× 129 0.4× 56 0.4× 14 0.1× 28 0.2× 28 409
Hannah S. Seidel United States 13 449 1.1× 499 1.4× 38 0.3× 57 0.4× 311 2.6× 16 928
Lucien Rufener Switzerland 13 62 0.2× 145 0.4× 114 0.8× 374 2.9× 15 0.1× 19 892

Countries citing papers authored by Carola Petersen

Since Specialization
Citations

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

Fields of papers citing papers by Carola Petersen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carola Petersen

This figure shows the co-authorship network connecting the top 25 collaborators of Carola Petersen. A scholar is included among the top collaborators of Carola Petersen 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 Carola Petersen. Carola Petersen 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.
Zimmermann, Johannes, Michael Sieber, Carola Petersen, et al.. (2024). Gut-associated functions are favored during microbiome assembly across a major part of C. elegans life. mBio. 15(5). e0001224–e0001224. 10 indexed citations
2.
Μαρίνος, Γεώργιος, Reena Debray, Nancy Obeng, et al.. (2024). Metabolic model predictions enable targeted microbiome manipulation through precision prebiotics. Microbiology Spectrum. 12(2). e0114423–e0114423. 12 indexed citations
3.
Bang, Corinna, Philipp Rausch, Malte Rühlemann, et al.. (2024). The archaeome in metaorganism research, with a focus on marine models and their bacteria–archaea interactions. Frontiers in Microbiology. 15. 1347422–1347422. 3 indexed citations
4.
Petersen, Carola, et al.. (2023). The nematode Caenorhabditis elegans and diverse potential invertebrate vectors predominantly interact opportunistically. Frontiers in Ecology and Evolution. 11. 2 indexed citations
5.
Petersen, Carola, et al.. (2023). The intricate triangular interaction between protective microbe, pathogen and host determines fitness of the metaorganism. Proceedings of the Royal Society B Biological Sciences. 290(2012). 20232193–20232193. 9 indexed citations
6.
Petersen, Carola, et al.. (2023). Host and microbiome jointly contribute to environmental adaptation. The ISME Journal. 17(11). 1953–1965. 38 indexed citations
7.
Petersen, Carola, et al.. (2022). Isolation and Characterization of the Natural Microbiota of the Model Nematode <em>Caenorhabditis elegans</em>. Journal of Visualized Experiments. 3 indexed citations
8.
Pees, Barbara, Wentao Yang, Carola Petersen, et al.. (2021). Effector and regulator: Diverse functions of C. elegans C-type lectin-like domain proteins. PLoS Pathogens. 17(4). e1009454–e1009454. 23 indexed citations
9.
Petersen, Carola, et al.. (2021). Preconditioning With Natural Microbiota Strain Ochrobactrum vermis MYb71 Influences Caenorhabditis elegans Behavior. Frontiers in Cellular and Infection Microbiology. 11. 775634–775634. 5 indexed citations
10.
Pees, Barbara, et al.. (2021). Microbes to‐go: slugs as source for Caenorhabditis elegans microbiota acquisition. Environmental Microbiology. 23(11). 6721–6733. 8 indexed citations
11.
Zimmermann, Johannes, Nancy Obeng, Wentao Yang, et al.. (2019). The functional repertoire contained within the native microbiota of the model nematode Caenorhabditis elegans. The ISME Journal. 14(1). 26–38. 68 indexed citations
12.
Yang, Wentao, Carola Petersen, Barbara Pees, et al.. (2019). The Inducible Response of the Nematode Caenorhabditis elegans to Members of Its Natural Microbiota Across Development and Adult Life. Frontiers in Microbiology. 10. 1793–1793. 24 indexed citations
13.
Snoek, Basten L., Rita Volkers, Harm Nijveen, et al.. (2019). A multi-parent recombinant inbred line population of C. elegans allows identification of novel QTLs for complex life history traits. BMC Biology. 17(1). 24–24. 24 indexed citations
14.
Cassidy, Liam, Carola Petersen, Katja Dierking, et al.. (2018). The Caenorhabditis elegans Proteome Response to Naturally Associated Microbiome Members of the Genus Ochrobactrum. PROTEOMICS. 18(8). e1700426–e1700426. 9 indexed citations
15.
Dirksen, Philipp, Sarah Marsh, Rania Nakad, et al.. (2016). The native microbiome of the nematode Caenorhabditis elegans: gateway to a new host-microbiome model. BMC Biology. 14(1). 38–38. 295 indexed citations
16.
Petersen, Carola, Philipp Dirksen, & Hinrich Schulenburg. (2015). Why we need more ecology for genetic models such as C. elegans. Trends in Genetics. 31(3). 120–127. 55 indexed citations
17.
Petersen, Carola, et al.. (2015). Travelling at a slug’s pace: possible invertebrate vectors of Caenorhabditis nematodes. BMC Ecology. 15(1). 19–19. 42 indexed citations
18.
Petersen, Carola, et al.. (2015). Ten years of life in compost: temporal and spatial variation of North German Caenorhabditis elegans populations. Ecology and Evolution. 5(16). 3250–3263. 26 indexed citations
19.
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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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