Per Lundmark

21 papers receiving 2k citations

Per Lundmark's Hit Papers

Large-scale association analysis identifies new risk loci for coronary artery disease 2012 · 1.4k citations
1.4k0+4+9Years since publication4008001.2k

Peers

Per Lundmark
Comparison fields: 5 of 83
  • Genetics 852
  • Cardiology and Cardiovascular Medicine 212
  • Immunology 163
  • Hematology 98
  • Cancer Research 91
Replace Sian-Tsung Tan with:
Sian-Tsung Tan Netherlands
Nuria Martín United States
Isleifur Olafsson United States
Silke Rosinger Germany
A E Swift Finland
Fazal-ur-Rehman Memon United Kingdom
Uyenlinh L. Mirshahi United States
Natalie Van Zuydam United Kingdom
Carole Proust France
Khan Shah Zaman Pakistan
Per Lundmark relative to Sian-Tsung Tan Netherlands Sian-Tsung Tan's profile →
Citations per field
00.5×1.5×
Sian-Tsung Tan · 1×
Citations per year

Countries citing papers authored by Per Lundmark

Since Specialization
Citations

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

Fields of papers citing papers by Per Lundmark

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Per Lundmark, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Per Lundmark Line = papers co-authored together Per Lundmark links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Large-scale association analysis identifies new risk loci for coronary artery disease
Hit paper breakdown →
20121351
2 2010107
3 2017105
4 200794
5 201291
6 200942
7 200641
8 200838
9 201231
10 200819
11 200818
12 201418
13 201014
14 201412
15 20258
16 20137
17 20146
18 20093
19 20262
20 20251

About Per Lundmark

Per Lundmark is a scholar working on Genetics, Psychiatry and Mental health, Cardiology and Cardiovascular Medicine, Physiology and Biochemistry, having authored 21 papers that have together received 2k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Schizophrenia research and treatment (3 papers), Genomics and Chromatin Dynamics (2 papers), Gut microbiota and health (2 papers), Cholesterol and Lipid Metabolism (1 paper), Lysosomal Storage Disorders Research (1 paper), Cardiovascular Health and Disease Prevention (1 paper) and Nitric Oxide and Endothelin Effects (1 paper). The work is most often cited by research in Genetics (852 citations), Cardiology and Cardiovascular Medicine (212 citations), Immunology (163 citations), Hematology (98 citations) and Cancer Research (91 citations). Per Lundmark has collaborated with scholars based in Sweden, United Kingdom and Norway. Frequent co-authors include Ann‐Christine Syvänen, Ulf Risérus, Erik Ingelsson, Eva Warensjö, Bengt OH Vessby, Lars Lannfelt, Tomas Axelsson, Ole A. Andreassen, Thomas Mears Werge and Peter Saetre. Their work appears in journals such as PLoS ONE, Nature Genetics, Blood, Arteriosclerosis Thrombosis and Vascular Biology and Journal of the American Heart Association.

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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