Pia Lundman

1.4k total citations
9 papers, 825 citations indexed

About

Pia Lundman is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Pia Lundman has authored 9 papers receiving a total of 825 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 3 papers in Surgery and 2 papers in Molecular Biology. Recurrent topics in Pia Lundman's work include Blood properties and coagulation (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Pia Lundman is often cited by papers focused on Blood properties and coagulation (2 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers) and Cardiac Imaging and Diagnostics (2 papers). Pia Lundman collaborates with scholars based in Sweden, United Kingdom and Australia. Pia Lundman's co-authors include Ulf Stenestrand, Staffan Schön, Tomas Jernberg, Karolina Szummer, Lars Wallentin, Stefan H. Jacobson, Johan Lindbäck, Anders Hamsten, Per Eriksson and Per Tornvall and has published in prestigious journals such as Circulation, Nature Genetics and Atherosclerosis.

In The Last Decade

Pia Lundman

8 papers receiving 794 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Pia Lundman Sweden	8	303	200	159	142	138	9	825
Vincent Fridén Sweden	12	225 0.7×	116 0.6×	146 0.9×	71 0.5×	116 0.8×	14	830
Enrico Hoffmann Italy	18	289 1.0×	157 0.8×	104 0.7×	74 0.5×	112 0.8×	46	694
Hanjun Zhao China	15	377 1.2×	139 0.7×	274 1.7×	121 0.9×	123 0.9×	91	948
Simone L. Verweij Netherlands	11	208 0.7×	205 1.0×	370 2.3×	81 0.6×	99 0.7×	14	713
Yoshihiro Sato Japan	14	248 0.8×	80 0.4×	280 1.8×	86 0.6×	90 0.7×	74	714
Makoto Sugihara Japan	17	208 0.7×	173 0.9×	182 1.1×	88 0.6×	73 0.5×	92	785
Thorsten Kälsch Germany	14	252 0.8×	159 0.8×	121 0.8×	58 0.4×	123 0.9×	36	707
Qiangjun Cai United States	14	242 0.8×	123 0.6×	184 1.2×	102 0.7×	97 0.7×	28	653
Masayuki Ogami Japan	10	228 0.8×	420 2.1×	181 1.1×	35 0.2×	214 1.6×	18	1.0k
Fabian Schmitz Germany	13	323 1.1×	77 0.4×	84 0.5×	114 0.8×	84 0.6×	19	535

Countries citing papers authored by Pia Lundman

Since Specialization

Citations

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

Fields of papers citing papers by Pia Lundman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pia Lundman

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

All Works

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9 of 9 papers shown

Wang, Yunzhang, Pia Lundman, Joakim Alfredsson, et al.. (2025). Different plasma biomarker patterns associated with coronary atherosclerosis in low- versus high-risk individuals – an observational cross-sectional study. Atherosclerosis. 408. 120457–120457.

Szummer, Karolina, Pia Lundman, Stefan H. Jacobson, et al.. (2009). Influence of Renal Function on the Effects of Early Revascularization in Non-ST-Elevation Myocardial Infarction. Circulation. 120(10). 851–858. 195 indexed citations

Szummer, Karolina, Pia Lundman, Stefan H. Jacobson, et al.. (2009). Relation between renal function, presentation, use of therapies and in‐hospital complications in acute coronary syndrome: data from the SWEDEHEART register. Journal of Internal Medicine. 268(1). 40–49. 131 indexed citations

Eriksson, Per, Pia Lundman, Ann Samnegård, et al.. (2005). Contribution of haplotypes across the fibrinogen gene cluster to variation in risk of myocardial infarction. Thrombosis and Haemostasis. 93(3). 570–577. 34 indexed citations

Sieveking, Daniel, et al.. (2005). Chinese herbs Danshen and Gegen modulate key early atherogenic events in vitro. International Journal of Cardiology. 105(1). 40–45. 57 indexed citations

Swanberg, Maria, Olle Lidman, Leonid Padyukov, et al.. (2005). MHC2TA is associated with differential MHC molecule expression and susceptibility to rheumatoid arthritis, multiple sclerosis and myocardial infarction. Nature Genetics. 37(5). 486–494. 254 indexed citations

Kovacs, Alexander, Fiona Green, Lars‐Olof Hansson, et al.. (2004). A novel common single nucleotide polymorphism in the promoter region of the C-reactive protein gene associated with the plasma concentration of C-reactive protein. Atherosclerosis. 178(1). 193–198. 106 indexed citations

Lagercrantz, Jacob, Martin Bergman, Pia Lundman, et al.. (2003). No evidence that the PLA1/PLA2 polymorphism of platelet glycoprotein IIIa is implicated in angiographically characterized coronary atherosclerosis and premature myocardial infarction. Blood Coagulation & Fibrinolysis. 14(8). 749–753. 19 indexed citations

Kahan, Thomas, et al.. (2000). Greater than normal prevalence of seropositivity for Helicobacter pylori among patients who have suffered myocardial infarction. Coronary Artery Disease. 11(7). 523–526. 29 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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