Peter Möller

10.9k total citations · 1 hit paper
31 papers, 1.5k citations indexed

About

Peter Möller is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Peter Möller has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 14 papers in Food Science and 8 papers in Nutrition and Dietetics. Recurrent topics in Peter Möller's work include Probiotics and Fermented Foods (11 papers), Gut microbiota and health (6 papers) and Food composition and properties (4 papers). Peter Möller is often cited by papers focused on Probiotics and Fermented Foods (11 papers), Gut microbiota and health (6 papers) and Food composition and properties (4 papers). Peter Möller collaborates with scholars based in Denmark, United Kingdom and Iceland. Peter Möller's co-authors include Mogens Jakobsen, Kim F. Michaelsen, Anders Pærregaard, Alice E. Hayford, Michael Tvede, Brittmarie Sandström, Vibeke Rosenfeldt Nielsen, Dennis Sandris Nielsen, Siddig H. Hamad and Warda S. Abdelgadir and has published in prestigious journals such as Applied and Environmental Microbiology, Genome biology and Food Research International.

In The Last Decade

Peter Möller

29 papers receiving 1.3k citations

Hit Papers

Screening of Probiotic Activities of Forty-Seven Strains ... 1999 2026 2008 2017 1999 200 400 600

Peers

Peter Möller
Peter Möller
Citations per year, relative to Peter Möller Peter Möller (= 1×) peers Petra Haberer

Countries citing papers authored by Peter Möller

Since Specialization
Citations

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

Fields of papers citing papers by Peter Möller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Möller

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Möller. A scholar is included among the top collaborators of Peter Möller 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 Peter Möller. Peter Möller 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.
Rasmussen, Laust Dupont, et al.. (2026). Incorporation of lipoprotein(a) levels improves calibration of pre-test likelihood estimates of obstructive coronary artery disease. European Heart Journal - Cardiovascular Imaging. 27(4). 707–717.
2.
Möller, Peter, Palle Duun Rohde, Laust Dupont Rasmussen, et al.. (2024). Predicting the presence of coronary plaques featuring high-risk characteristics using polygenic risk scores and targeted proteomics in patients with suspected coronary artery disease. Genome Medicine. 16(1). 40–40. 3 indexed citations
3.
Carramolino, Laura, Julián Albarrán-Juárez, Esther Hernández‐SanMiguel, et al.. (2024). Cholesterol lowering depletes atherosclerotic lesions of smooth muscle cell-derived fibromyocytes and chondromyocytes. Nature Cardiovascular Research. 3(2). 203–220. 10 indexed citations
4.
Maier, Julia, Julian Schwab, Ralf Marienfeld, et al.. (2024). Boolean network modeling and its integration with experimental read-outs. PubMed. 45(S1). 26–30.
5.
Möller, Peter, Palle Duun Rohde, Laust Dupont Rasmussen, et al.. (2023). Combining Polygenic and Proteomic Risk Scores With Clinical Risk Factors to Improve Performance for Diagnosing Absence of Coronary Artery Disease in Patients With de novo Chest Pain. Circulation Genomic and Precision Medicine. 16(5). 442–451. 3 indexed citations
6.
Winther, Simon, Laust Dupont Rasmussen, Jelmer Westra, et al.. (2023). Danish study of Non-Invasive Testing in Coronary Artery Disease 3 (Dan-NICAD 3): study design of a controlled study on optimal diagnostic strategy. Open Heart. 10(2). e002328–e002328. 7 indexed citations
7.
Tóth, Andrea E., Hans Christian Cederberg Helms, András Harazin, et al.. (2021). Sortilin regulates blood–brain barrier integrity. FEBS Journal. 289(4). 1062–1079. 12 indexed citations
8.
Christiansen, Morten Krogh, Simon Winther, Louise Nissen, et al.. (2021). Polygenic Risk Score–Enhanced Risk Stratification of Coronary Artery Disease in Patients With Stable Chest Pain. Circulation Genomic and Precision Medicine. 14(3). e003298–e003298. 5 indexed citations
9.
Holley, Guillaume, Doruk Beyter, Helga Ingimundardóttir, et al.. (2021). Ratatosk: hybrid error correction of long reads enables accurate variant calling and assembly. Genome biology. 22(1). 28–28. 39 indexed citations
10.
Möller, Peter, Palle Duun Rohde, Simon Winther, et al.. (2021). Sortilin as a Biomarker for Cardiovascular Disease Revisited. Frontiers in Cardiovascular Medicine. 8. 652584–652584. 16 indexed citations
11.
Monti, Giulia, Mads Kjølby, Mariet Allen, et al.. (2021). Expression of an alternatively spliced variant of SORL1 in neuronal dendrites is decreased in patients with Alzheimer’s disease. Acta Neuropathologica Communications. 9(1). 43–43. 9 indexed citations
12.
Möller, Peter, Morten Bøttcher, Simon Winther, et al.. (2020). Familial analysis reveals rare risk variants for migraine in regulatory regions. Neurogenetics. 21(3). 149–157. 10 indexed citations
13.
Hansen, Marcus Høy, Eigil Kjeldsen, Peter Möller, et al.. (2018). Systematic evaluation of signal-to-noise ratio in variant detection from single cell genome multiple displacement amplification and exome sequencing. BMC Genomics. 19(1). 681–681. 11 indexed citations
14.
Nakavuma, Jesca, et al.. (2012). Processing steps and lactic acid bacteria involved in traditional cultured milk (Kwerionik) production in Uganda. 7(2). 82–94. 4 indexed citations
15.
Sawadogo‐Lingani, Hagrétou, Vicki Lei, B. Diawara, et al.. (2007). The biodiversity of predominant lactic acid bacteria in dolo and pito wort for the production of sorghum beer. Journal of Applied Microbiology. 103(4). 765–777. 83 indexed citations
16.
Jespersen, Lene, et al.. (2007). Lactic acid bacteria and yeasts associated withgowéproduction from sorghum in Bénin. Journal of Applied Microbiology. 103(2). 342–349. 86 indexed citations
17.
Tannock, Gerald W., et al.. (2005). A rye bran diet, rich in plant lignans, has no influence on the composition of the gut microflora in postmenopausal women. Microbial Ecology in Health and Disease. 17(1). 21–27. 2 indexed citations
18.
Adamberg, Kaarel, et al.. (2003). Physiological properties of Lactobacillus paracasei, L. danicus and L. curvatus strains isolated from Estonian semi-hard cheese. Food Research International. 36(9-10). 1037–1046. 37 indexed citations
19.
Nielsen, Dennis Sandris, Peter Möller, Vibeke Rosenfeldt, et al.. (2003). Case Study of the Distribution of Mucosa-Associated Bifidobacterium Species, Lactobacillus Species, andOther Lactic Acid Bacteria in the HumanColon. Applied and Environmental Microbiology. 69(12). 7545–7548. 75 indexed citations
20.
Möller, Peter, Flemming Steen Jørgensen, Ole C. Hansen, Søren Madsen, & Peter Stougaard. (2001). Intra- and Extracellular β-Galactosidases from Bifidobacterium bifidum and B. infantis : Molecular Cloning, Heterologous Expression, and Comparative Characterization. Applied and Environmental Microbiology. 67(5). 2276–2283. 93 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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