Lotta K. Stenman

1.6k total citations
17 papers, 993 citations indexed

About

Lotta K. Stenman is a scholar working on Molecular Biology, Physiology and Gastroenterology. According to data from OpenAlex, Lotta K. Stenman has authored 17 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 7 papers in Physiology and 5 papers in Gastroenterology. Recurrent topics in Lotta K. Stenman's work include Gut microbiota and health (11 papers), Diet and metabolism studies (7 papers) and Gastrointestinal motility and disorders (5 papers). Lotta K. Stenman is often cited by papers focused on Gut microbiota and health (11 papers), Diet and metabolism studies (7 papers) and Gastrointestinal motility and disorders (5 papers). Lotta K. Stenman collaborates with scholars based in Finland, United States and Denmark. Lotta K. Stenman's co-authors include Sampo J. Lahtinen, Riitta Korpela, Reetta Holma, Rémy Burcelin, Céline Garret, Aurélie Waget, Markku Saarinen, Pascale Klopp, Markus J. Lehtinen and Henrik Max Jensen and has published in prestigious journals such as PLoS ONE, Journal of Nutrition and Nutrients.

In The Last Decade

Lotta K. Stenman

17 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lotta K. Stenman Finland 13 708 422 143 132 129 17 993
Katherine Sun United States 11 632 0.9× 232 0.5× 91 0.6× 207 1.6× 107 0.8× 32 1.1k
Jihong Yuan China 16 695 1.0× 357 0.8× 59 0.4× 74 0.6× 156 1.2× 39 1.2k
Alícia G. Gómez-Valadés Spain 11 677 1.0× 354 0.8× 108 0.8× 117 0.9× 114 0.9× 16 993
Manuela Sailer Germany 17 590 0.8× 339 0.8× 153 1.1× 83 0.6× 181 1.4× 28 1.1k
Iñaki Robles‐Vera Spain 22 980 1.4× 682 1.6× 150 1.0× 78 0.6× 112 0.9× 40 1.5k
Jessica Le Ven France 7 640 0.9× 234 0.6× 91 0.6× 73 0.6× 84 0.7× 11 924
Runxiang Xie China 16 517 0.7× 151 0.4× 78 0.5× 96 0.7× 103 0.8× 20 876
Mathieu Membrez Switzerland 12 1.1k 1.6× 770 1.8× 74 0.5× 108 0.8× 320 2.5× 18 1.6k

Countries citing papers authored by Lotta K. Stenman

Since Specialization
Citations

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

Fields of papers citing papers by Lotta K. Stenman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lotta K. Stenman. 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 Lotta K. Stenman. The network helps show where Lotta K. Stenman may publish in the future.

Co-authorship network of co-authors of Lotta K. Stenman

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

All Works

17 of 17 papers shown
1.
Metsärinne, Kaj, Mikko Pietilä, Ilkka Kantola, et al.. (2023). Chronic kidney disease stage is associated with the number of risk factors in type 2 diabetes patients (STages Of NEphropathy in type 2 diabetes and Heart Failure – STONE HF). Primary care diabetes. 17(6). 632–638. 2 indexed citations
2.
Metsärinne, Kaj, Mikko Pietilä, Ilkka Kantola, et al.. (2021). The majority of type 2 diabetic patients in Finnish primary care are at very high risk of cardiovascular events: A cross-sectional chart review study (STONE HF). Primary care diabetes. 16(1). 135–141. 4 indexed citations
3.
Yde, Christian Clement, Henrik Max Jensen, Niels Juel Christensen, et al.. (2021). Polydextrose with and without Bifidobacterium animalis ssp. lactis 420 drives the prevalence of Akkermansia and improves liver health in a multi-compartmental obesogenic mice study. PLoS ONE. 16(12). e0260765–e0260765. 12 indexed citations
4.
Sundekilde, Ulrik Kræmer, Christian Clement Yde, A.H. Honoré, et al.. (2020). An Integrated Multi-Omics Analysis Defines Key Pathway Alterations in a Diet-Induced Obesity Mouse Model. Metabolites. 10(3). 80–80. 19 indexed citations
5.
Stenman, Lotta K., Elaine Patterson, Johann Meunier, François J. Roman, & Markus J. Lehtinen. (2019). Strain specific stress-modulating effects of candidate probiotics: A systematic screening in a mouse model of chronic restraint stress. Behavioural Brain Research. 379. 112376–112376. 49 indexed citations
6.
Cheng, Jing, Lotta K. Stenman, Alvin Ibarra, et al.. (2019). Influence of Lactitol and Psyllium on Bowel Function in Constipated Indian Volunteers: A Randomized, Controlled Trial. Nutrients. 11(5). 1130–1130. 9 indexed citations
7.
Hibberd, Ashley A., Christian Clement Yde, Maren Ziegler, et al.. (2018). Probiotic or synbiotic alters the gut microbiota and metabolism in a randomised controlled trial of weight management in overweight adults. Beneficial Microbes. 10(2). 121–136. 127 indexed citations
8.
Danilo, Christiane, Eleni Constantopoulos, Hao Chen, et al.. (2017). Bifidobacterium animalis subsp. lactis 420 mitigates the pathological impact of myocardial infarction in the mouse. Beneficial Microbes. 8(2). 257–270. 28 indexed citations
9.
Stenman, Lotta K., Markus J. Lehtinen, Nils Meland, et al.. (2016). Probiotic With or Without Fiber Controls Body Fat Mass, Associated With Serum Zonulin, in Overweight and Obese Adults—Randomized Controlled Trial. EBioMedicine. 13. 190–200. 118 indexed citations
10.
Stenman, Lotta K., Aurélie Waget, Céline Garret, et al.. (2015). Probiotic B420 and prebiotic polydextrose improve efficacy of antidiabetic drugs in mice. Diabetology & Metabolic Syndrome. 7(1). 75–75. 49 indexed citations
11.
Stenman, Lotta K., Rémy Burcelin, & Sampo J. Lahtinen. (2015). Establishing a causal link between gut microbes, body weight gain and glucose metabolism in humans – towards treatment with probiotics. Beneficial Microbes. 7(1). 11–22. 64 indexed citations
12.
Stenman, Lotta K., et al.. (2014). Potential probiotic Bifidobacterium animalis ssp. lactis 420 prevents weight gain and glucose intolerance in diet-induced obese mice. Beneficial Microbes. 5(4). 437–446. 120 indexed citations
13.
14.
Stenman, Lotta K., Reetta Holma, Helena Gylling, & Riitta Korpela. (2013). Genetically obese mice do not show increased gut permeability or faecal bile acid hydrophobicity. British Journal Of Nutrition. 110(6). 1157–1164. 26 indexed citations
15.
Stenman, Lotta K., Reetta Holma, Richard A. Forsgård, Helena Gylling, & Riitta Korpela. (2013). Higher Fecal Bile Acid Hydrophobicity Is Associated with Exacerbation of Dextran Sodium Sulfate Colitis in Mice. Journal of Nutrition. 143(11). 1691–1697. 25 indexed citations
16.
Stenman, Lotta K.. (2012). High-fat-induced intestinal permeability dysfunction associated with altered fecal bile acids. World Journal of Gastroenterology. 18(9). 923–923. 148 indexed citations
17.
Stenman, Lotta K., et al.. (2012). A novel mechanism for gut barrier dysfunction by dietary fat: epithelial disruption by hydrophobic bile acids. American Journal of Physiology-Gastrointestinal and Liver Physiology. 304(3). G227–G234. 178 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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