Caroline Rombouts

1.0k total citations
18 papers, 607 citations indexed

About

Caroline Rombouts is a scholar working on Molecular Biology, Animal Science and Zoology and Pollution. According to data from OpenAlex, Caroline Rombouts has authored 18 papers receiving a total of 607 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Animal Science and Zoology and 2 papers in Pollution. Recurrent topics in Caroline Rombouts's work include Metabolomics and Mass Spectrometry Studies (6 papers), Meat and Animal Product Quality (5 papers) and Analytical Chemistry and Chromatography (2 papers). Caroline Rombouts is often cited by papers focused on Metabolomics and Mass Spectrometry Studies (6 papers), Meat and Animal Product Quality (5 papers) and Analytical Chemistry and Chromatography (2 papers). Caroline Rombouts collaborates with scholars based in Belgium, United Kingdom and France. Caroline Rombouts's co-authors include Lynn Vanhaecke, Lieselot Hemeryck, Imad About, C. Jeanneau, Lieven Van Meulebroek, Thomas Giraud, Winnok H. De Vos, Thomas Van Hecke, Stefaan De Smet and Ellen De Paepe and has published in prestigious journals such as Applied and Environmental Microbiology, Journal of Agricultural and Food Chemistry and Scientific Reports.

In The Last Decade

Caroline Rombouts

18 papers receiving 605 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Caroline Rombouts Belgium 13 283 86 81 65 53 18 607
Yuanyuan Wei China 17 235 0.8× 33 0.4× 19 0.2× 36 0.6× 31 0.6× 45 671
Masoumeh Moslemi Iran 13 146 0.5× 34 0.4× 31 0.4× 19 0.3× 81 1.5× 39 594
Mariko Nakamura Japan 15 268 0.9× 39 0.5× 68 0.8× 19 0.3× 83 1.6× 71 720
Radosław P. Radzki Poland 12 120 0.4× 16 0.2× 70 0.9× 37 0.6× 48 0.9× 51 441
Daxu Li China 18 417 1.5× 23 0.3× 99 1.2× 18 0.3× 21 0.4× 69 908
Yi Ma China 15 221 0.8× 52 0.6× 51 0.6× 28 0.4× 45 0.8× 65 733
Ireneusz Całkosiński Poland 14 193 0.7× 19 0.2× 69 0.9× 19 0.3× 37 0.7× 55 612
Jinhee Cho South Korea 15 194 0.7× 18 0.2× 55 0.7× 20 0.3× 97 1.8× 49 854
Xiaocheng Li China 17 269 1.0× 72 0.8× 55 0.7× 62 1.0× 43 0.8× 68 745
Stanisław Dzimira Poland 17 358 1.3× 34 0.4× 40 0.5× 20 0.3× 130 2.5× 95 989

Countries citing papers authored by Caroline Rombouts

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Rombouts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Caroline Rombouts

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

All Works

18 of 18 papers shown
1.
Rombouts, Caroline, Lieven Van Meulebroek, Thomas Van Hecke, et al.. (2021). Untargeted Metabolomics Reveals Elevated L‐Carnitine Metabolism in Pig and Rat Colon Tissue Following Red Versus White Meat Intake. Molecular Nutrition & Food Research. 65(7). e2000463–e2000463. 8 indexed citations
2.
Rombouts, Caroline, et al.. (2021). Comprehensive polar metabolomics and lipidomics profiling discriminates the transformed from the non-transformed state in colon tissue and cell lines. Scientific Reports. 11(1). 17249–17249. 9 indexed citations
3.
Wyngene, Lise Van, Tineke Vanderhaeghen, Steven Timmermans, et al.. (2020). Hepatic PPARα function and lipid metabolic pathways are dysregulated in polymicrobial sepsis. EMBO Molecular Medicine. 12(2). e11319–e11319. 51 indexed citations
4.
Rombouts, Caroline, Lieselot Hemeryck, Lieven Van Meulebroek, et al.. (2020). Untargeted Metabolomics to Reveal Red versus White Meat–Associated Gut Metabolites in a Prudent and Western Dietary Context. Molecular Nutrition & Food Research. 64(12). e2000070–e2000070. 11 indexed citations
5.
Wang, Luoluo, Ivan Meeus, Caroline Rombouts, et al.. (2019). Metabolomics-based biomarker discovery for bee health monitoring: A proof of concept study concerning nutritional stress in Bombus terrestris. Scientific Reports. 9(1). 11423–11423. 19 indexed citations
6.
Praticò, Giulia, Lieselot Hemeryck, P.S.C. Sri Harsha, et al.. (2019). Biomarkers of meat and seafood intake: an extensive literature review. Genes & Nutrition. 14(1). 35–35. 74 indexed citations
7.
Rombouts, Caroline, et al.. (2019). Validated comprehensive metabolomics and lipidomics analysis of colon tissue and cell lines. Analytica Chimica Acta. 1066. 79–92. 27 indexed citations
8.
Wang, Luoluo, Luc Swevers, Caroline Rombouts, et al.. (2019). A Metabolomics Approach to Unravel Cricket Paralysis Virus Infection in Silkworm Bm5 Cells. Viruses. 11(9). 861–861. 14 indexed citations
9.
10.
Hemeryck, Lieselot, Caroline Rombouts, Ellen De Paepe, & Lynn Vanhaecke. (2018). DNA adduct profiling of in vitro colonic meat digests to map red vs. white meat genotoxicity. Food and Chemical Toxicology. 115. 73–87. 23 indexed citations
12.
Rombouts, Caroline, Lieselot Hemeryck, Thomas Van Hecke, et al.. (2017). Untargeted metabolomics of colonic digests reveals kynurenine pathway metabolites, dityrosine and 3-dehydroxycarnitine as red versus white meat discriminating metabolites. Scientific Reports. 7(1). 42514–42514. 62 indexed citations
13.
Horemans, Benjamin, et al.. (2017). Genetic (In)stability of 2,6-Dichlorobenzamide Catabolism in Aminobacter sp. Strain MSH1 Biofilms under Carbon Starvation Conditions. Applied and Environmental Microbiology. 83(11). 13 indexed citations
14.
Hemeryck, Lieselot, Caroline Rombouts, Thomas Van Hecke, et al.. (2016). In vitro DNA adduct profiling to mechanistically link red meat consumption to colon cancer promotion. Toxicology Research. 5(5). 1346–1358. 23 indexed citations
15.
Rombouts, Caroline, Thomas Giraud, C. Jeanneau, & Imad About. (2016). Pulp Vascularization during Tooth Development, Regeneration, and Therapy. Journal of Dental Research. 96(2). 137–144. 105 indexed citations
16.
Hecke, Thomas Van, An Wouters, Caroline Rombouts, et al.. (2016). Reducing Compounds Equivocally Influence Oxidation during Digestion of a High-Fat Beef Product, which Promotes Cytotoxicity in Colorectal Carcinoma Cell Lines. Journal of Agricultural and Food Chemistry. 64(7). 1600–1609. 41 indexed citations
17.
Jeanneau, C., et al.. (2015). Can Pulp Fibroblasts Kill Cariogenic Bacteria? Role of Complement Activation. Journal of Dental Research. 94(12). 1765–1772. 32 indexed citations
18.
Lange, Loek De, et al.. (2003). Practical application and advantages of using total digestible amino acids and undigestible crude protein to formulate broiler diets. World s Poultry Science Journal. 59(4). 447–457. 12 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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