Najada Stringa

1.5k total citations
17 papers, 401 citations indexed

About

Najada Stringa is a scholar working on Genetics, Molecular Biology and Physiology. According to data from OpenAlex, Najada Stringa has authored 17 papers receiving a total of 401 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Genetics, 5 papers in Molecular Biology and 5 papers in Physiology. Recurrent topics in Najada Stringa's work include Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and Alzheimer's disease research and treatments (3 papers). Najada Stringa is often cited by papers focused on Genetic Associations and Epidemiology (6 papers), Bioinformatics and Genomic Networks (4 papers) and Alzheimer's disease research and treatments (3 papers). Najada Stringa collaborates with scholars based in Netherlands, United States and Belarus. Najada Stringa's co-authors include Martijn Huisman, Natasja M. van Schoor, Taulant Muka, Oscar H. Franco, M. Arfan Ikram, Henne Holstege, Sven J. van der Lee, Eralda Asllanaj, Marcel Reinders and Philip Scheltens and has published in prestigious journals such as PLoS ONE, Diabetologia and The Journals of Gerontology Series A.

In The Last Decade

Najada Stringa

16 papers receiving 398 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Najada Stringa Netherlands 10 103 72 69 61 59 17 401
Joung Hwan Back South Korea 13 85 0.8× 40 0.6× 66 1.0× 25 0.4× 120 2.0× 19 481
L. Ferlito Italy 12 83 0.8× 93 1.3× 27 0.4× 20 0.3× 57 1.0× 16 508
Carolien A. Wijsman Netherlands 13 316 3.1× 61 0.8× 68 1.0× 48 0.8× 39 0.7× 20 607
Yi-Huei Chen Taiwan 13 43 0.4× 49 0.7× 34 0.5× 42 0.7× 46 0.8× 31 448
Erin B. Ware United States 15 69 0.7× 45 0.6× 42 0.6× 175 2.9× 50 0.8× 65 635
He Gao United Kingdom 12 101 1.0× 53 0.7× 118 1.7× 105 1.7× 18 0.3× 25 595
Robert Pearsall United Kingdom 10 83 0.8× 37 0.5× 40 0.6× 55 0.9× 57 1.0× 12 491
Yu Zeng China 11 54 0.5× 47 0.7× 52 0.8× 33 0.5× 25 0.4× 42 372
Christina Tegeler Germany 10 52 0.5× 38 0.5× 36 0.5× 12 0.2× 32 0.5× 14 348
Yinqiong Huang China 12 60 0.6× 60 0.8× 52 0.8× 31 0.5× 14 0.2× 29 453

Countries citing papers authored by Najada Stringa

Since Specialization
Citations

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

Fields of papers citing papers by Najada Stringa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Najada Stringa

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

All Works

17 of 17 papers shown
1.
Deeg, Dorly J. H., T.G. van Tilburg, Marjolein Visser, et al.. (2024). Identification of a “Blue Zone” in the Netherlands: A Genetic, Personal, Sociocultural, and Environmental Profile. The Gerontologist. 64(11). 1 indexed citations
2.
Stringa, Najada, Natasja M. van Schoor, Emiel O. Hoogendijk, Yuri Milaneschi, & Martijn Huisman. (2023). The phenotypic and genotypic association of grip strength with frailty, physical performance and functional limitations over time in older adults. Age and Ageing. 52(10). 3 indexed citations
3.
Holwerda, Tjalling J., Eva A. Jaarsma, Elisabeth M. van Zutphen, et al.. (2023). The impact of COVID-19 related adversity on the course of mental health during the pandemic and the role of protective factors: a longitudinal study among older adults in The Netherlands. Social Psychiatry and Psychiatric Epidemiology. 58(7). 1109–1120. 12 indexed citations
4.
Seppala, Lotta J, Katerina Trajanoska, Najada Stringa, et al.. (2022). Candidate genetic variants and antidepressant-related fall risk in middle-aged and older adults. PLoS ONE. 17(4). e0266590–e0266590. 5 indexed citations
5.
Tesi, Niccoló, Marc Hulsman, Iris E. Jansen, et al.. (2021). Pathway-specific polygenic risk score of AD-associated genetic variants associated with AD risk, resilience against AD, and progression to AD. Pure Amsterdam UMC. 1 indexed citations
6.
Tesi, Niccoló, Marc Hulsman, Sven J. van der Lee, et al.. (2021). The Effect of Alzheimer’s Disease-Associated Genetic Variants on Longevity. Frontiers in Genetics. 12. 748781–748781. 7 indexed citations
8.
Stringa, Najada, Natasja M. van Schoor, Yuri Milaneschi, et al.. (2020). Physical Activity as Moderator of the Association Between APOE and Cognitive Decline in Older Adults: Results from Three Longitudinal Cohort Studies. The Journals of Gerontology Series A. 75(10). 1880–1886. 26 indexed citations
9.
Tesi, Niccoló, Sven J. van der Lee, Marc Hulsman, et al.. (2020). Immune response and endocytosis pathways are associated with the resilience against Alzheimer’s disease. Translational Psychiatry. 10(1). 332–332. 34 indexed citations
10.
Stringa, Najada, Yuri Milaneschi, Natasja M. van Schoor, et al.. (2020). Genetic Liability for Depression, Social Factors and Their Interaction Effect in Depressive Symptoms and Depression Over Time in Older Adults. American Journal of Geriatric Psychiatry. 28(8). 844–855. 10 indexed citations
11.
Tesi, Niccoló, Sven J. van der Lee, Marc Hulsman, et al.. (2020). Immune response and endocytosis pathways are associated with the resilience against Alzheimer’s disease. Alzheimer s & Dementia. 16(S3).
12.
Tesi, Niccoló, Sven J. van der Lee, Marc Hulsman, et al.. (2020). Polygenic Risk Score of Longevity Predicts Longer Survival Across an Age Continuum. The Journals of Gerontology Series A. 76(5). 750–759. 17 indexed citations
13.
Hoogendijk, Emiel O., Dorly J. H. Deeg, Sascha de Breij, et al.. (2019). The Longitudinal Aging Study Amsterdam: cohort update 2019 and additional data collections. European Journal of Epidemiology. 35(1). 61–74. 86 indexed citations
14.
Tesi, Niccoló, Sven J. van der Lee, Marc Hulsman, et al.. (2018). Centenarian controls increase variant effect sizes by an average twofold in an extreme case–extreme control analysis of Alzheimer’s disease. European Journal of Human Genetics. 27(2). 244–253. 41 indexed citations
15.
Rojas, Lyda Z., Marija Glišić, Luis Eduardo Echeverría, et al.. (2018). Electrocardiographic abnormalities in Chagas disease in the general population: A systematic review and meta-analysis. PLoS neglected tropical diseases. 12(6). e0006567–e0006567. 56 indexed citations
16.
Stringa, Najada, Adela Brahimaj, Asija Začiragić, et al.. (2017). Relation of antioxidant capacity of diet and markers of oxidative status with C-reactive protein and adipocytokines: a prospective study. Metabolism. 71. 171–181. 16 indexed citations
17.
Muka, Taulant, Eralda Asllanaj, Loes Jaspers, et al.. (2017). Age at natural menopause and risk of type 2 diabetes: a prospective cohort study. Diabetologia. 60(10). 1951–1960. 78 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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