Johan Dicksved

7.0k total citations · 2 hit papers
86 papers, 5.3k citations indexed

About

Johan Dicksved is a scholar working on Molecular Biology, Infectious Diseases and Food Science. According to data from OpenAlex, Johan Dicksved has authored 86 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 21 papers in Infectious Diseases and 20 papers in Food Science. Recurrent topics in Johan Dicksved's work include Gut microbiota and health (55 papers), Clostridium difficile and Clostridium perfringens research (20 papers) and Probiotics and Fermented Foods (16 papers). Johan Dicksved is often cited by papers focused on Gut microbiota and health (55 papers), Clostridium difficile and Clostridium perfringens research (20 papers) and Probiotics and Fermented Foods (16 papers). Johan Dicksved collaborates with scholars based in Sweden, United States and Canada. Johan Dicksved's co-authors include Janet Jansson, Lars Engstrand, Jonas Halfvarson, Curt Tysk, Benjamin P. Willing, Gunnar Järnerot, Magnus Rosenquist, Marianna Lucio, Michael J. Sadowsky and Alexander Khoruts and has published in prestigious journals such as Gastroenterology, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

Johan Dicksved

83 papers receiving 5.2k citations

Hit Papers

A Pyrosequencing Study in Twins Shows That Gastrointestin... 2010 2026 2015 2020 2010 2010 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Dicksved Sweden 33 3.4k 1.3k 954 871 709 86 5.3k
Omar Lakhdari United States 14 3.2k 0.9× 1.1k 0.9× 788 0.8× 827 0.9× 542 0.8× 24 4.2k
Ateequr Rehman Germany 29 3.5k 1.0× 1.3k 1.0× 509 0.5× 1.0k 1.2× 846 1.2× 56 5.4k
Tomomi Kuwahara Japan 28 3.7k 1.1× 1.4k 1.1× 935 1.0× 760 0.9× 562 0.8× 97 6.0k
Xochitl C. Morgan United States 29 6.0k 1.7× 1.3k 1.0× 1.0k 1.1× 959 1.1× 713 1.0× 56 7.9k
Timothy L. Tickle United States 14 3.9k 1.2× 967 0.8× 610 0.6× 783 0.9× 638 0.9× 21 5.3k
Jean‐Jacques Gratadoux France 17 3.4k 1.0× 1.2k 0.9× 1.2k 1.3× 939 1.1× 554 0.8× 29 4.5k
Venessa Eeckhaut Belgium 34 3.3k 1.0× 1.1k 0.8× 1.4k 1.5× 664 0.8× 421 0.6× 66 5.8k
L. Caetano M. Antunes Brazil 24 3.5k 1.0× 1.2k 0.9× 909 1.0× 521 0.6× 437 0.6× 53 5.1k
Lindsey Albenberg United States 24 3.3k 1.0× 1.0k 0.8× 601 0.6× 1.6k 1.8× 1.0k 1.4× 66 5.2k
Mariana X. Byndloss United States 32 3.9k 1.2× 1.4k 1.1× 1.3k 1.4× 559 0.6× 683 1.0× 55 5.9k

Countries citing papers authored by Johan Dicksved

Since Specialization
Citations

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

Fields of papers citing papers by Johan Dicksved

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Dicksved

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Dicksved. A scholar is included among the top collaborators of Johan Dicksved 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 Johan Dicksved. Johan Dicksved 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
2.
Vidaković, Aleksandar, et al.. (2024). Yarrowia lipolytica yeast as a dietary supplement for rainbow trout (Oncorhynchus mykiss): Effects on gut microbiota, health and immunity. Aquaculture. 590. 741065–741065. 6 indexed citations
3.
Huang, Yi, Else Verbeek, Linda Keeling, et al.. (2023). Age Rather Than Supplementation with Oat β-Glucan Influences Development of the Intestinal Microbiota and SCFA Concentrations in Suckling Piglets. Animals. 13(8). 1349–1349. 6 indexed citations
5.
Wallman, Mikael, Carl Brunius, Johan Dicksved, et al.. (2023). Differential Responders to a Mixed Meal Tolerance Test Associated with Type 2 Diabetes Risk Factors and Gut Microbiota—Data from the MEDGI-Carb Randomized Controlled Trial. Nutrients. 15(20). 4369–4369. 4 indexed citations
6.
Dicksved, Johan, et al.. (2023). Similarity in milk microbiota in replicates. MicrobiologyOpen. 12(5). e1383–e1383. 2 indexed citations
7.
Höglund, Katja, et al.. (2023). Effects of rye inclusion in dog food on fecal microbiota and short-chain fatty acids. BMC Veterinary Research. 19(1). 70–70. 4 indexed citations
8.
Dicksved, Johan, et al.. (2023). Characterization of the Bacterial Composition of 47 Fermented Foods in Sweden. Foods. 12(20). 3827–3827. 6 indexed citations
9.
Dicksved, Johan, et al.. (2023). Fecal microbiota composition affects in vitro fermentation of rye, oat, and wheat bread. Scientific Reports. 13(1). 99–99. 11 indexed citations
10.
Berntson, Lillemor, et al.. (2022). A Pilot Study Investigating Faecal Microbiota After Two Dietary Interventions in Children with Juvenile Idiopathic Arthritis. Current Microbiology. 79(7). 215–215. 3 indexed citations
11.
Peura, Sari, Anna M. Hedman, Susanne Hetty, et al.. (2022). Development of gut microbiota during the first 2 years of life. Scientific Reports. 12(1). 9080–9080. 71 indexed citations
12.
Dicksved, Johan, et al.. (2021). Fecal microbiota in children with juvenile idiopathic arthritis treated with methotrexate or etanercept. Pediatric Rheumatology. 19(1). 55–55. 5 indexed citations
13.
Dicksved, Johan, et al.. (2020). Fecal Microbiota in Untreated Children With Juvenile Idiopathic Arthritis: A Comparison With Healthy Children and Healthy Siblings. The Journal of Rheumatology. 48(10). 1589–1595. 8 indexed citations
14.
Eriksen, Anne Kirstine, Carl Brunius, Mohsen Mazidi, et al.. (2020). Effects of whole-grain wheat, rye, and lignan supplementation on cardiometabolic risk factors in men with metabolic syndrome: a randomized crossover trial. American Journal of Clinical Nutrition. 111(4). 864–876. 75 indexed citations
15.
Söderlund, Robert, David A. Wilkinson, Erik Eriksson, et al.. (2019). Risk factors and dynamics of verotoxigenic Escherichia coli O157:H7 on cattle farms: An observational study combining information from questionnaires, spatial data and molecular analyses. Preventive Veterinary Medicine. 170. 104726–104726. 8 indexed citations
16.
Huyben, David, et al.. (2018). Dietary live yeast and increased water temperature influence the gut microbiota of rainbow trout. Journal of Applied Microbiology. 124(6). 1377–1392. 124 indexed citations
17.
Dicksved, Johan, et al.. (2017). Colostrum quality, IgG absorption and daily weight gain of calves in small-scale dairy production systems in Southern Vietnam. Tropical Animal Health and Production. 49(6). 1143–1147. 9 indexed citations
18.
Huyben, David, Andreas Nyman, Aleksandar Vidaković, et al.. (2017). Effects of dietary inclusion of the yeasts Saccharomyces cerevisiae and Wickerhamomyces anomalus on gut microbiota of rainbow trout. Aquaculture. 473. 528–537. 77 indexed citations
20.
Kampmann, C., Johan Dicksved, Lars Engstrand, & Hilpi Rautelin. (2015). Composition of human faecal microbiota in resistance to Campylobacter infection. Clinical Microbiology and Infection. 22(1). 61.e1–61.e8. 72 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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