Peter M. Nilsson

120.6k total citations · 3 hit papers
591 papers, 21.5k citations indexed

About

Peter M. Nilsson is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Peter M. Nilsson has authored 591 papers receiving a total of 21.5k indexed citations (citations by other indexed papers that have themselves been cited), including 238 papers in Cardiology and Cardiovascular Medicine, 177 papers in Endocrinology, Diabetes and Metabolism and 87 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Peter M. Nilsson's work include Blood Pressure and Hypertension Studies (113 papers), Cardiovascular Health and Disease Prevention (101 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (81 papers). Peter M. Nilsson is often cited by papers focused on Blood Pressure and Hypertension Studies (113 papers), Cardiovascular Health and Disease Prevention (101 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (81 papers). Peter M. Nilsson collaborates with scholars based in Sweden, United States and Denmark. Peter M. Nilsson's co-authors include Gunnar Engström, Bo Hedblad, Olle Melander, Göran Berglund, Björn Eliasson, Soffia Guðbjörnsdóttir, Jan Cederholm, G Berglund, Leif Groop and Peter Almgren and has published in prestigious journals such as New England Journal of Medicine, The Lancet and JAMA.

In The Last Decade

Peter M. Nilsson

565 papers receiving 20.8k citations

Hit Papers

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What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Clinical Risk Factors, DNA Variants, and the Development of Type 2 Diabetes

2008 649 citations Peter Almgren, Peter M. Nilsson et al. profile →
Mechanisms by which common variants in the TCF7L2 gene increase risk of type 2 diabetes

2007 586 citations Marju Orho‐Melander, Peter Almgren et al. profile →
The probabilistic model of Alzheimer disease: the amyloid hypothesis revised

2021 290 citations Peter M. Nilsson et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Peter M. Nilsson	6.3k	5.8k	3.9k	3.7k	3.5k	591	21.5k
Toshiharu Ninomiya	5.6k 0.9×	4.8k 0.8×	2.9k 0.7×	2.9k 0.8×	2.9k 0.8×	383	21.1k
Lynne E. Wagenknecht	8.1k 1.3×	4.9k 0.8×	3.2k 0.8×	5.2k 1.4×	3.3k 0.9×	336	22.2k
Olle Melander	3.3k 0.5×	6.2k 1.1×	6.3k 1.6×	4.4k 1.2×	3.9k 1.1×	578	21.3k
Philippe Amouyel	4.1k 0.7×	6.7k 1.1×	5.2k 1.3×	5.3k 1.4×	3.1k 0.9×	512	25.1k
Albert Hofman	6.9k 1.1×	3.7k 0.6×	4.6k 1.2×	4.0k 1.1×	2.9k 0.8×	360	31.4k
Elizabeth Selvin	12.1k 1.9×	8.0k 1.4×	4.1k 1.0×	4.0k 1.1×	5.5k 1.6×	518	33.1k
James S. Pankow	4.7k 0.7×	3.9k 0.7×	3.0k 0.8×	2.5k 0.7×	2.2k 0.6×	402	18.2k
Ulf dé Fairé	8.1k 1.3×	13.6k 2.3×	3.7k 0.9×	3.2k 0.9×	4.4k 1.2×	381	30.4k
Veikko Salomaa	3.2k 0.5×	6.4k 1.1×	4.6k 1.2×	3.1k 0.8×	2.6k 0.7×	522	22.3k
Vilmundur Guðnason	2.7k 0.4×	5.8k 1.0×	2.9k 0.7×	3.3k 0.9×	4.8k 1.4×	492	22.9k

Countries citing papers authored by Peter M. Nilsson

Since Specialization

Citations

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

Fields of papers citing papers by Peter M. Nilsson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter M. Nilsson

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

All Works

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20 of 20 papers shown

Jäghagen, Eva Levring, Björn Klinge, Kåre Buhlin, et al.. (2025). Using Dental Register Information and Questionnaire Data to Assess Periodontitis in Large Cohort Studies. Journal Of Clinical Periodontology. 52(11). 1529–1539.

Ottosson, Filip, Gunnar Engström, Marju Orho‐Melander, et al.. (2024). Plasma Metabolome Predicts Aortic Stiffness and Future Risk of Coronary Artery Disease and Mortality After 23 Years of Follow‐Up in the General Population. Journal of the American Heart Association. 13(9). e033442–e033442. 9 indexed citations

Johansson, Madeleine, Anna Åkesson, Peter M. Nilsson, & Olle Melander. (2024). Longitudinal assessment of the impact of prevalent diabetes on hospital admissions and mortality in the general population: a prospective population-based study with 19 years of follow-up. BMC Public Health. 24(1). 2948–2948.

Nilsson, Peter M., et al.. (2024). Birth weight and birth length affect future fracture risk differently in men and women. Osteoporosis International. 35(10). 1817–1829.

Holm, Hannes, Cecilia Kennbäck, Agnė Laučytė-Cibulskienė, Peter M. Nilsson, & Amra Jujić. (2024). The impact of prediabetes and diabetes on endothelial function in a large population-based cohort. Blood Pressure. 33(1). 2298309–2298309. 4 indexed citations

Nilsson, Peter M., Kristina Sundquist, Jan Sundquist, Casey Crump, & Xinjun Li. (2024). Sex ratio at birth across 100 years in Sweden and risk of cardiovascular disease and all-cause mortality – a national register study. European Journal of Epidemiology. 39(9). 967–976.

Engström, Gunnar, Cecilia Kennbäck, Björn Klinge, et al.. (2023). Defined shapes of carotid artery calcifications on panoramic radiographs correlate with specific signs of cardiovascular disease on ultrasound examination. Oral Surgery Oral Medicine Oral Pathology and Oral Radiology. 137(4). 408–420. 3 indexed citations

Carrera‐Bastos, Pedro, Yvonne Granfeldt, Kristina Sundquist, et al.. (2023). Inverse association between Paleolithic Diet Fraction and mortality and incidence of cardiometabolic disease in the prospective Malmö Diet and Cancer Study. European Journal of Nutrition. 63(2). 501–512. 1 indexed citations

Jujić, Amra, Mattias Belting, Olle Melander, et al.. (2023). Endogenous incretin levels and risk of first incident cancer: a prospective cohort study. Scientific Reports. 13(1). 382–382. 8 indexed citations

10.

Jujić, Amra, et al.. (2023). The impact of age on endothelial dysfunction measured by peripheral arterial tonometry in a healthy population-based cohort – the Malmö offspring study. Blood Pressure. 32(1). 2234059–2234059. 3 indexed citations

11.

Ottosson, Filip, Céline Fernandez, Gunnar Engström, et al.. (2022). The inverse association between a fish consumption biomarker and gingival inflammation and periodontitis: A population‐based study. Journal Of Clinical Periodontology. 49(4). 353–361. 18 indexed citations

12.

Jujić, Amra, Frank Matthes, Marju Orho‐Melander, et al.. (2021). Plasma S1P (Sphingosine-1-Phosphate) Links to Hypertension and Biomarkers of Inflammation and Cardiovascular Disease: Findings From a Translational Investigation. Hypertension. 78(1). 195–209. 23 indexed citations

13.

Malan, Leoné, Catharina M. C. Mels, Leandi Lammertyn, et al.. (2021). Exploring biomarkers associated with deteriorating vascular health using a targeted proteomics chip. Medicine. 100(20). e25936–e25936. 13 indexed citations

14.

Fernandez, Céline, Andreas Bergmann, Joachim Struck, et al.. (2020). Magnitude of rise in proneurotensin is related to amount of triglyceride appearance in blood after standardized oral intake of both saturated and unsaturated fat. Lipids in Health and Disease. 19(1). 9 indexed citations

15.

Hartz, Jacob, Ronald M. Krauss, Mikael Gottsäter, et al.. (2020). Lipoprotein Particle Predictors of Arterial Stiffness after 17 Years of Follow Up: The Malmö Diet and Cancer Study. International Journal of Vascular Medicine. 2020. 1–9. 7 indexed citations

16.

Hoffmann, Mikael, Peter M. Nilsson, Johan Ahlner, et al.. (2020). Do patients or their physicians more accurately assess long-term risk associated with hypertension? A population-based study. Scandinavian Journal of Primary Health Care. 38(2). 166–175. 2 indexed citations

17.

Bruno, Rosa María, Peter M. Nilsson, Gunnar Engström, et al.. (2020). Early and Supernormal Vascular Aging. Hypertension. 76(5). 1616–1624. 101 indexed citations

18.

Persson, Margaretha, Moncef Zarrouk, Jan Holst, Peter M. Nilsson, & Anders Gottsäter. (2015). No association between glucose at age 30 and aortic diameter at age 65 in men: a population-based study. Scandinavian Cardiovascular Journal. 50(2). 119–122. 6 indexed citations

19.

Fava, Cristiano, Marketa Sjögren, Martina Montagnana, et al.. (2012). Prediction of Blood Pressure Changes Over Time and Incidence of Hypertension by a Genetic Risk Score in Swedes. Hypertension. 61(2). 319–326. 94 indexed citations

20.

Nilsson, Peter M., et al.. (2008). Risk factor control in treated hypertensives from primary health care differ by gender of physician - Why the difference?. Lund University Publications (Lund University). 1 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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