N. David Åberg

4.1k total citations · 1 hit paper
74 papers, 3.2k citations indexed

About

N. David Åberg is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, N. David Åberg has authored 74 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Endocrinology, Diabetes and Metabolism, 17 papers in Cardiology and Cardiovascular Medicine and 16 papers in Physiology. Recurrent topics in N. David Åberg's work include Growth Hormone and Insulin-like Growth Factors (29 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Acute Ischemic Stroke Management (9 papers). N. David Åberg is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (29 papers), Neurogenesis and neuroplasticity mechanisms (10 papers) and Acute Ischemic Stroke Management (9 papers). N. David Åberg collaborates with scholars based in Sweden, Australia and United Kingdom. N. David Åberg's co-authors include Maria Åberg, Peter S. Eriksson, Jörgen Isgaard, Jan Oscarsson, H. Georg Kuhn, Michael Nilsson, Lars Rönnbäck, Johan Svensson, Nancy L. Pedersen and Margda Wærn and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

N. David Åberg

73 papers receiving 3.1k citations

Hit Papers

Peripheral Infusion of IGF-I Selectively Induces Neurogen... 2000 2026 2008 2017 2000 200 400 600
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Peripheral Infusion of IGF-I Selectively Induces Neurogenesis in the Adult Rat Hippocampus
    2000 693 citations Maria Åberg, N. David Åberg et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. David Åberg Sweden 27 912 752 741 701 662 74 3.2k
Maria Åberg Sweden 27 844 0.9× 660 0.9× 382 0.5× 507 0.7× 584 0.9× 90 3.2k
José Luís Trejo Spain 36 1.6k 1.7× 1.2k 1.7× 826 1.1× 1.3k 1.9× 1.4k 2.0× 72 5.0k
Cindy K. Barha Canada 31 517 0.6× 307 0.4× 358 0.5× 201 0.3× 481 0.7× 67 2.9k
Sámuel Komoly Hungary 34 411 0.5× 471 0.6× 163 0.2× 677 1.0× 320 0.5× 146 4.0k
Elisabet Vilella Spain 31 228 0.3× 354 0.5× 258 0.3× 934 1.3× 338 0.5× 164 3.5k
Tiffany E. Shubert United States 19 725 0.8× 409 0.5× 120 0.2× 312 0.4× 768 1.2× 49 3.2k
Robin L. Roof United States 16 385 0.4× 466 0.6× 448 0.6× 674 1.0× 160 0.2× 20 2.9k
Maura Boldrini United States 24 1.3k 1.4× 1.1k 1.5× 103 0.1× 874 1.2× 328 0.5× 39 4.0k
Mónica Gratacòs Spain 37 235 0.3× 976 1.3× 268 0.4× 809 1.2× 314 0.5× 87 3.7k
Daniela Tropea Ireland 25 369 0.4× 840 1.1× 170 0.2× 1.1k 1.6× 206 0.3× 56 3.0k

Countries citing papers authored by N. David Åberg

Since Specialization
Citations

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

Fields of papers citing papers by N. David Åberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. David Åberg. 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 N. David Åberg. The network helps show where N. David Åberg may publish in the future.

Co-authorship network of co-authors of N. David Åberg

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

All Works

20 of 20 papers shown
1.
Wall, Alexander, Henrik Zetterberg, Kaj Blennow, et al.. (2024). A Nonlinear Relation between Body Mass Index and Long-Term Poststroke Functional Outcome—The Importance of Insulin Resistance, Inflammation, and Insulin-like Growth Factor-Binding Protein-1. International Journal of Molecular Sciences. 25(9). 4931–4931. 2 indexed citations
2.
Brännmark, Cecilia, Sofia Klasson, Tara M. Stanne, et al.. (2023). FIND Stroke Recovery Study (FIND): rationale and protocol for a longitudinal observational cohort study of trajectories of recovery and biomarkers poststroke. BMJ Open. 13(5). e072493–e072493. 2 indexed citations
3.
Jood, Katarina, Petra Redfors, Tara M. Stanne, et al.. (2023). Serum IGFBP-1 Concentration as a Predictor of Outcome after Ischemic Stroke—A Prospective Observational Study. International Journal of Molecular Sciences. 24(11). 9120–9120. 3 indexed citations
4.
Lindgren, Martin, N. David Åberg, Maria Åberg, et al.. (2022). Body Mass Index in Adolescence and Long‐Term Risk of Early Incident Atrial Fibrillation and Subsequent Mortality, Heart Failure, and Ischemic Stroke. Journal of the American Heart Association. 11(21). e025984–e025984. 9 indexed citations
5.
Hinwood, Madeleine, Jenny Nyberg, Lucy Leigh, et al.. (2022). Do P2Y12 receptor inhibitors prescribed poststroke modify the risk of cognitive disorder or dementia? Protocol for a target trial using multiple national Swedish registries. BMJ Open. 12(5). e058244–e058244. 2 indexed citations
6.
Horváth, Alexandra, et al.. (2022). Low Serum Insulin-like Growth Factor-I Is Associated with Decline in Hippocampal Volume in Stable Mild Cognitive Impairment but not in Alzheimer’s Disease. Journal of Alzheimer s Disease. 88(3). 1007–1016. 3 indexed citations
7.
Andersson, Annette Erichsen, et al.. (2022). Healthcare professionals’ perceptions of interprofessional teamwork in the emergency department: a critical incident study. Scandinavian Journal of Trauma Resuscitation and Emergency Medicine. 30(1). 46–46. 7 indexed citations
8.
Åberg, N. David, Katarina Jood, Petra Redfors, et al.. (2021). Insulin-Like Growth Factor-II and Ischemic Stroke—A Prospective Observational Study. Life. 11(6). 499–499. 2 indexed citations
9.
Henriksson, Malin, Alexander Wall, Jenny Nyberg, et al.. (2021). Effects of exercise on symptoms of anxiety in primary care patients: A randomized controlled trial. Journal of Affective Disorders. 297. 26–34. 53 indexed citations
10.
Nyberg, Jenny, Malin Henriksson, Alexander Wall, et al.. (2021). Anxiety severity and cognitive function in primary care patients with anxiety disorder: a cross-sectional study. BMC Psychiatry. 21(1). 617–617. 20 indexed citations
11.
Lindgren, Martin, Josefina Robertson, Martin Adiels, et al.. (2020). Elevated Resting Heart Rate in Adolescent Men and Risk of Heart Failure and Cardiomyopathy. ESC Heart Failure. 7(3). 1178–1185. 11 indexed citations
12.
Erlandsson, Malin C., N. David Åberg, Caroline Wasén, et al.. (2019). Low serum IGF1 is associated with hypertension and predicts early cardiovascular events in women with rheumatoid arthritis. BMC Medicine. 17(1). 141–141. 21 indexed citations
13.
Nyberg, Jenny, Mattias Linde, N. David Åberg, et al.. (2019). Cardiovascular fitness and risk of migraine: a large, prospective population-based study of Swedish young adult men. BMJ Open. 9(8). e029147–e029147. 8 indexed citations
14.
Lindgren, Martin, Annika Rosengren, Josefina Robertson, et al.. (2018). Cognitive Performance in Late Adolescence and Long-Term Risk of Early Heart Failure in Swedish Men. European Journal of Heart Failure. 20(6). 989–997. 5 indexed citations
15.
Åberg, N. David, Katarina Jood, Michael Nilsson, et al.. (2018). Altered levels of circulating insulin-like growth factor I (IGF-I) following ischemic stroke are associated with outcome - a prospective observational study. BMC Neurology. 18(1). 106–106. 18 indexed citations
16.
Åberg, N. David, Tara M. Stanne, Katarina Jood, et al.. (2016). Serum erythropoietin and outcome after ischaemic stroke: a prospective study. BMJ Open. 6(2). e009827–e009827. 10 indexed citations
17.
Walser, Marion, Maria Teresa Samà, Maria Åberg, et al.. (2012). Local overexpression of GH and GH/IGF1 effects in the adult mouse hippocampus. Journal of Endocrinology. 215(2). 257–268. 6 indexed citations
18.
Walser, Marion, Anna M. Hansen, Per‐Arne Svensson, et al.. (2011). Peripheral administration of bovine GH regulates the expression of cerebrocortical beta-globin, GABAB receptor 1, and the Lissencephaly-1 protein (LIS-1) in adult hypophysectomized rats. Growth Hormone & IGF Research. 21(1). 16–24. 17 indexed citations
19.
Åberg, N. David, Fredrik Blomstrand, Maria Åberg, et al.. (2003). Insulin‐like growth factor‐I increases astrocyte intercellular gap junctional communication and connexin43 expression in vitro. Journal of Neuroscience Research. 74(1). 12–22. 46 indexed citations
20.
Blomstrand, Fredrik, N. David Åberg, Peter S. Eriksson, Elisabeth Hansson, & Lars Rönnbäck. (1999). Extent of intercellular calcium wave propagation is related to gap junction permeability and level of connexin-43 expression in astrocytes in primary cultures from four brain regions. Neuroscience. 92(1). 255–265. 107 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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