Ulf DeFaire

1.2k total citations
16 papers, 941 citations indexed

About

Ulf DeFaire is a scholar working on Genetics, Surgery and Molecular Biology. According to data from OpenAlex, Ulf DeFaire has authored 16 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 2 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Ulf DeFaire's work include Genetic Associations and Epidemiology (6 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Ulf DeFaire is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). Ulf DeFaire collaborates with scholars based in Sweden, United Kingdom and United States. Ulf DeFaire's co-authors include Nancy L. Pedersen, Gunilla Bolinder, Robert Plomin, Gerald E. McClearn, Stéphanie M. van den Berg, John R. Nesselroade, Johan Hallqvist, Tomas Andersson, Christina Reuterwall and Anders Ahlbom and has published in prestigious journals such as The American Journal of Human Genetics, Arteriosclerosis Thrombosis and Vascular Biology and Psychosomatic Medicine.

In The Last Decade

Ulf DeFaire

16 papers receiving 885 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ulf DeFaire Sweden	10	272	175	138	126	124	16	941
Karoline Schousboe Denmark	15	364 1.3×	163 0.9×	103 0.7×	224 1.8×	245 2.0×	26	1.2k
Pamela Linksted United Kingdom	6	151 0.6×	87 0.5×	62 0.4×	95 0.8×	72 0.6×	8	628
Phyliss Sholinsky United States	22	261 1.0×	218 1.2×	62 0.4×	368 2.9×	249 2.0×	31	2.0k
M. Pertovaara Finland	22	174 0.6×	73 0.4×	50 0.4×	499 4.0×	96 0.8×	34	1.5k
Trine Marie Stene Norway	3	104 0.4×	121 0.7×	56 0.4×	123 1.0×	54 0.4×	9	837
Mathieu Firmann Switzerland	4	71 0.3×	101 0.6×	52 0.4×	118 0.9×	97 0.8×	5	576
Katherine S. Ruth United Kingdom	16	472 1.7×	71 0.4×	54 0.4×	128 1.0×	120 1.0×	27	1.1k
Sonia Brescianini Italy	20	256 0.9×	31 0.2×	85 0.6×	166 1.3×	150 1.2×	54	1.2k
Julia Robertson Australia	14	173 0.6×	89 0.5×	33 0.2×	49 0.4×	325 2.6×	27	804
P. Almgren Sweden	16	224 0.8×	101 0.6×	24 0.2×	180 1.4×	263 2.1×	28	1.1k

Countries citing papers authored by Ulf DeFaire

Since Specialization

Citations

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

Fields of papers citing papers by Ulf DeFaire

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulf DeFaire

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

All Works

Sort: Min cites: Since: Top N: Style:

16 of 16 papers shown

1.

Jakkula, Eveliina, Karola Rehnström, Teppo Varilo, et al.. (2008). The Genome-wide Patterns of Variation Expose Significant Substructure in a Founder Population. The American Journal of Human Genetics. 83(6). 787–794. 111 indexed citations

2.

Putter, Hein, Marian Beekman, Nico Lakenberg, et al.. (2004). Mapping QTLs for HDL-C, LDL-C and Associated Proteins and Identification of Underlying Genetic Variation: A Meta-analysis of Four Genome Scans. Twin Research and Human Genetics. 7(6). 683. 1 indexed citations

3.

Beekman, Marian, Bastiaan T. Heijmans, Nicholas G. Martin, et al.. (2003). Evidence for a QTL on chromosome 19 influencing LDL cholesterol levels in the general population. European Journal of Human Genetics. 11(11). 845–850. 25 indexed citations

4.

Beekman, Marian, Bastiaan T. Heijmans, Nicholas G. Martin, et al.. (2003). Two-locus Linkage Analysis Applied to Putative Quantitative Trait Loci for Lipoprotein(a) Levels. Twin Research. 6(4). 322–324. 1 indexed citations

5.

Beekman, Marian, Bastiaan T. Heijmans, Nicholas G. Martin, et al.. (2003). Two-locus Linkage Analysis Applied to Putative Quantitative Trait Loci for Lipoprotein(a) Levels. Twin Research. 6(4). 322–324. 9 indexed citations

6.

Beekman, Marian, Bastiaan T. Heijmans, Nicholas G. Martin, et al.. (2002). Heritabilities of Apolipoprotein and Lipid Levels in Three Countries. Twin Research. 5(2). 87–97. 101 indexed citations

7.

Beekman, Marian, Bastiaan T. Heijmans, Nicholas G. Martin, et al.. (2002). Heritabilities of Apolipoprotein and Lipid Levels in Three Countries. Twin Research. 5(2). 87–97. 66 indexed citations

8.

Wiman, B., Tomas Andersson, Johan Hallqvist, et al.. (2000). Plasma levels of tissue plasminogen activator/plasminogen activator inhibitor-1 complex and von Willebrand factor are significant risk markers for recurrent myocardial infarction in the Stockholm Heart Epidemiology Program (SHEEP) study : Arteriosclerosis, Thrombosis, and Vascular Biology. Arteriosclerosis Thrombosis and Vascular Biology. 20(8). 12 indexed citations

9.

Wiman, Björn, Tomas Andersson, Johan Hallqvist, et al.. (2000). Plasma Levels of Tissue Plasminogen Activator/Plasminogen Activator Inhibitor-1 Complex and von Willebrand Factor Are Significant Risk Markers for Recurrent Myocardial Infarction in the Stockholm Heart Epidemiology Program (SHEEP) Study. Arteriosclerosis Thrombosis and Vascular Biology. 20(8). 2019–2023. 162 indexed citations

10.

Bolinder, Gunilla & Ulf DeFaire. (1998). Ambulatory 24-h blood pressure monitoring in healthy, middle-aged smokeless tobacco users, smokers, and nontobacco users☆. American Journal of Hypertension. 11(10). 1153–1163. 105 indexed citations

11.

Pedersen, Nancy L., Gerald E. McClearn, Robert Plomin, et al.. (1991). The Swedish Adoption Twin Study of Aging: An Update. Acta geneticae medicae et gemellologiae twin research. 40(1). 7–20. 250 indexed citations

12.

Pedersen, Nancy L., et al.. (1989). Genetic and environmental influences for type A-like measures and related traits. Psychosomatic Medicine. 51(4). 1 indexed citations

13.

Pedersen, Nancy L., et al.. (1989). Genetic and environmental influences for type A-like measures and related traits: a study of twins reared apart and twins reared together.. Psychosomatic Medicine. 51(4). 428–440. 48 indexed citations

14.

McClearn, G. E., et al.. (1986). THE SWEDISH ADOPTION TWIN STUDY OF AGING (SATSA) - A PROGRAM OF RESEARCH IN GERONTOLOGICAL GENETICS. The Gerontologist. 16(6). 629–629. 1 indexed citations

15.

Björkholm, Magnus, et al.. (1980). Immunologic evaluation of patients with ischemic heart disease Genetic determination and relation to disease. Atherosclerosis. 36(2). 195–200. 3 indexed citations

16.

Friberg, Lars, et al.. (1973). Mortality in Twins in Relation to Smoking Habits and Alcohol Problems. Archives of Environmental Health An International Journal. 27(5). 294–304. 45 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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