Mari Niemi

11.9k total citations
11 papers, 816 citations indexed

About

Mari Niemi is a scholar working on Molecular Biology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mari Niemi has authored 11 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Surgery and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mari Niemi's work include Genetic Associations and Epidemiology (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Coronary Interventions and Diagnostics (2 papers). Mari Niemi is often cited by papers focused on Genetic Associations and Epidemiology (2 papers), Angiogenesis and VEGF in Cancer (2 papers) and Coronary Interventions and Diagnostics (2 papers). Mari Niemi collaborates with scholars based in Finland, United Kingdom and Germany. Mari Niemi's co-authors include Tuomas T. Rissanen, Seppo Ylä‐Herttuala, Mikko Hiltunen, Andrea Ganna, Mark J. Daly, Ismo Vajanto, Mikko P. Turunen, Jan Hinrich Bräsen, Hilary C. Martin and Antti Kivelä and has published in prestigious journals such as Nature, Circulation and Nature Reviews Genetics.

In The Last Decade

Mari Niemi

11 papers receiving 797 citations

Peers

Mari Niemi

MB

GENET

SURGE

EPIDE

CCM

Tianxiao Zhang China

Katarina Trebušak Podkrajšek Slovenia

Rainer Rossi Germany

Robert Schoumacher United States

Nathan P. Young United States

Hiroyuki Ito Japan

Naomi Hino‐Fukuyo Japan

Tsuyoshi Sasaki Japan

Nancy Carson Canada

Yasuhiro Arai Japan

Tianxiao Zhang China

Mari Niemi

475 ×1.3

MB

235 ×1.2

GENET

151 ×0.9

SURGE

90 ×0.9

EPIDE

43 ×0.5

CCM

Citations per year, relative to Mari Niemi Mari Niemi (= 1×) peers Tianxiao Zhang

Countries citing papers authored by Mari Niemi

Since Specialization

Citations

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

Fields of papers citing papers by Mari Niemi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Niemi

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

All Works

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11 of 11 papers shown

1.

Niemi, Mari, Mark J. Daly, & Andrea Ganna. (2022). The human genetic epidemiology of COVID-19. Nature Reviews Genetics. 23(9). 533–546. 71 indexed citations

2.

Gardner, Eugene J., Matthew D. C. Neville, Kaitlin E. Samocha, et al.. (2022). Reduced reproductive success is associated with selective constraint on human genes. Nature. 603(7903). 858–863. 29 indexed citations

3.

Gorgoraptis, Nikos, Claire Feeney, Carmen Tenorio-Jiménez, et al.. (2019). Cognitive impairment and health-related quality of life following traumatic brain injury. Neurorehabilitation. 44(3). 321–331. 85 indexed citations

4.

Niemi, Mari, Hilary C. Martin, Daniel L Rice, et al.. (2018). Common genetic variants contribute to risk of rare severe neurodevelopmental disorders. Nature. 562(7726). 268–271. 184 indexed citations

5.

Feeney, Claire, Mari Niemi, Carmen Tenorio-Jiménez, et al.. (2016). Prevalence and correlates of vitamin D deficiency in adults after traumatic brain injury. Clinical Endocrinology. 85(4). 636–644. 28 indexed citations

6.

Jääskeläinen, Pertti, Tiina Heliö, Katriina Aalto‐Setälä, et al.. (2012). Two founder mutations in the alpha-tropomyosin and the cardiac myosin-binding protein C genes are common causes of hypertrophic cardiomyopathy in the Finnish population. Annals of Medicine. 45(1). 85–90. 30 indexed citations

7.

Rissanen, Tuomas T., Ismo Vajanto, Mikko Hiltunen, et al.. (2002). Expression of Vascular Endothelial Growth Factor and Vascular Endothelial Growth Factor Receptor-2 (KDR/Flk-1) in Ischemic Skeletal Muscle and Its Regeneration. American Journal Of Pathology. 160(4). 1393–1403. 152 indexed citations

8.

Hiltunen, Mikko, Tiina T. Tuomisto, Mari Niemi, et al.. (2002). Changes in gene expression in atherosclerotic plaques analyzed using DNA array. Atherosclerosis. 165(1). 23–32. 64 indexed citations

9.

Bräsen, Jan Hinrich, Antti Kivelä, Kerstin Röser, et al.. (2001). Angiogenesis, Vascular Endothelial Growth Factor and Platelet-Derived Growth Factor-BB Expression, Iron Deposition, and Oxidation-Specific Epitopes in Stented Human Coronary Arteries. Arteriosclerosis Thrombosis and Vascular Biology. 21(11). 1720–1726. 59 indexed citations

10.

Hiltunen, Mikko, Marja Laitinen, Mikko P. Turunen, et al.. (2000). Intravascular Adenovirus-Mediated VEGF-C Gene Transfer Reduces Neointima Formation in Balloon-Denuded Rabbit Aorta. Circulation. 102(18). 2262–2268. 112 indexed citations

11.

Hiltunen, Mikko, Mikko P. Turunen, Seppo Heinonen, et al.. (2000). Gene transfer to placenta. International Journal of Gynecology & Obstetrics. 70(S1). 2 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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