Walter Swardfager

12.6k total citations · 2 hit papers
166 papers, 8.7k citations indexed

About

Walter Swardfager is a scholar working on Psychiatry and Mental health, Physiology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Walter Swardfager has authored 166 papers receiving a total of 8.7k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Psychiatry and Mental health, 37 papers in Physiology and 33 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Walter Swardfager's work include Dementia and Cognitive Impairment Research (27 papers), Alzheimer's disease research and treatments (24 papers) and Tryptophan and brain disorders (17 papers). Walter Swardfager is often cited by papers focused on Dementia and Cognitive Impairment Research (27 papers), Alzheimer's disease research and treatments (24 papers) and Tryptophan and brain disorders (17 papers). Walter Swardfager collaborates with scholars based in Canada, United States and Brazil. Walter Swardfager's co-authors include Nathan Herrmann, Krista L. Lanctôt, Yekta Dowlati, Lauren Sham, Helena Liu, Lana S. Rothenburg, Jaclyn Cappell, Amy P. Wong, Adam Dinoff and Sandra E. Black and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Walter Swardfager

156 papers receiving 8.6k citations

Hit Papers

align trajectories

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.

A Meta-Analysis of Cytokines in Major Depression

2009 3.6k citations Yekta Dowlati, Nathan Herrmann et al. Biological Psychiatry profile →
A Meta-Analysis of Cytokines in Alzheimer's Disease

2010 820 citations Walter Swardfager, Krista L. Lanctôt et al. Biological Psychiatry profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Walter Swardfager Canada	40	3.4k	2.3k	1.8k	1.8k	1.4k	166	8.7k
Lucile Capuron France	50	6.2k 1.8×	4.8k 2.1×	1.8k 1.0×	1.7k 0.9×	2.0k 1.5×	111	12.7k
Cristiano A. Köhler Brazil	41	2.2k 0.6×	1.3k 0.5×	631 0.3×	1.1k 0.7×	2.0k 1.5×	73	7.1k
Elisa Brietzke Brazil	56	4.4k 1.3×	2.1k 0.9×	911 0.5×	1.5k 0.9×	4.3k 3.2×	274	12.1k
Jennifer C. Felger United States	42	4.0k 1.2×	3.0k 1.3×	1.4k 0.7×	659 0.4×	967 0.7×	90	6.9k
Juan C. Leza Spain	59	2.8k 0.8×	2.1k 0.9×	2.4k 1.3×	1.9k 1.1×	963 0.7×	229	9.7k
Marta Kubera Poland	50	4.9k 1.4×	3.6k 1.6×	1.3k 0.7×	1.2k 0.7×	1.8k 1.3×	179	9.5k
Brian E. Leonard Ireland	48	4.1k 1.2×	3.3k 1.4×	1.3k 0.7×	1.0k 0.6×	1.6k 1.2×	147	9.5k
Valeria Mondelli United Kingdom	55	4.2k 1.2×	3.2k 1.4×	895 0.5×	859 0.5×	3.5k 2.5×	232	10.8k
Bernhard T. Baune Australia	72	4.2k 1.2×	2.9k 1.2×	2.2k 1.2×	2.2k 1.2×	3.5k 2.5×	408	16.9k
Witte J.G. Hoogendijk Netherlands	59	2.7k 0.8×	3.6k 1.6×	523 0.3×	1.1k 0.6×	1.7k 1.3×	208	11.7k

Countries citing papers authored by Walter Swardfager

Since Specialization

Citations

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

Fields of papers citing papers by Walter Swardfager

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Walter Swardfager

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

All Works

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20 of 20 papers shown

Silver, Debra L., Maureen T. Stewart, Peter Giacobbe, et al.. (2025). Glucose biomarkers and antidepressant response: A scoping review of interventions targeting major depressive disorder and metabolic dysfunction. Journal of Affective Disorders. 395(Pt A). 120606–120606.

Ruthirakuhan, Myuri, Walter Swardfager, Bradley J. MacIntosh, et al.. (2024). Investigating the impact of hypertension with and without diabetes on Alzheimer's disease risk: A clinico‐pathological study. Alzheimer s & Dementia. 20(4). 2766–2778. 10 indexed citations

Cao, Xingshan, Peter Giacobbe, Jennifer S. Rabin, et al.. (2024). Antidepressant class and concurrent rTMS outcomes in major depressive disorder: a systematic review and meta-analysis. EClinicalMedicine. 75. 102760–102760. 4 indexed citations

Wu, Che‐Yuan, Gillian Coughlan, Tanvi A. Puri, et al.. (2024). Associations Between Age at Menopause, Vascular Risk, and 3-Year Cognitive Change in the Canadian Longitudinal Study on Aging. Neurology. 102(9). e209298–e209298. 17 indexed citations

Xiong, Li, et al.. (2024). PT31 Self-Rated Health: Predictors of Poor Health Status and Associations With 5-Year Mortality Among UK Adults. Value in Health. 27(6). S352–S353.

Rabin, Jennifer S., et al.. (2023). A Blood-Based Lipid Profile Associated With Hippocampal Volume and Brain Resting-State Activation Within Obese Adults from the UK Biobank. Brain Connectivity. 13(10). 578–588. 2 indexed citations

Shirzadi, Zahra, Sudipto Dolui, John A. Detre, et al.. (2022). Associations of white matter hyperintensities with networks of gray matter blood flow and volume in midlife adults: A coronary artery risk development in young adults magnetic resonance imaging substudy. Human Brain Mapping. 43(12). 3680–3693. 5 indexed citations

Marzolini, Susan, et al.. (2021). Associations Between Time After Stroke and Exercise Training Outcomes: A Meta‐Regression Analysis. Journal of the American Heart Association. 10(24). e022588–e022588. 10 indexed citations

Roig, Marc, et al.. (2021). Aerobic exercise and aerobic fitness level do not modify motor learning. Scientific Reports. 11(1). 9 indexed citations

10.

Ouk, Michael, Che‐Yuan Wu, Jennifer S. Rabin, et al.. (2021). Leukotriene receptor antagonist use and cognitive decline in normal cognition, mild cognitive impairment, and Alzheimer’s dementia. Alzheimer s Research & Therapy. 13(1). 147–147. 16 indexed citations

11.

Chen, Joyce L., Clarissa Pedrini Schuch, Henry Lam, et al.. (2021). Does Cathodal vs. Sham Transcranial Direct Current Stimulation Over Contralesional Motor Cortex Enhance Upper Limb Motor Recovery Post-stroke? A Systematic Review and Meta-analysis. Frontiers in Neurology. 12. 626021–626021. 10 indexed citations

12.

Wu, Che‐Yuan, Michael Ouk, Di Yu, et al.. (2020). Neutrophil activation in Alzheimer’s disease and mild cognitive impairment: A systematic review and meta-analysis of protein markers in blood and cerebrospinal fluid. Ageing Research Reviews. 62. 101130–101130. 40 indexed citations

13.

Nguyen, Michelle, Kim S. Sugamori, Krista L. Lanctôt, et al.. (2020). Serum osteocalcin is associated with subjective stress in people with depression and type 2 diabetes. Psychoneuroendocrinology. 122. 104878–104878. 2 indexed citations

14.

Ouk, Michael, Che‐Yuan Wu, Jennifer S. Rabin, et al.. (2020). Associations between brain amyloid accumulation and the use of angiotensin-converting enzyme inhibitors versus angiotensin receptor blockers. Neurobiology of Aging. 100. 22–31. 24 indexed citations

15.

Nguyen, Michelle, Mahwesh Saleem, Nathan Herrmann, et al.. (2019). Lower serum osteocalcin concentrations in patients with type 2 diabetes and relationships with vascular risk factors among patients with coronary artery disease. Journal of Diabetes and its Complications. 33(5). 390–397. 11 indexed citations

16.

Wu, Che‐Yuan, et al.. (2019). The complement cascade in Alzheimer’s disease: a systematic review and meta-analysis. Molecular Psychiatry. 26(10). 5532–5541. 64 indexed citations

17.

Dinoff, Adam, Nathan Herrmann, Walter Swardfager, Damien Gallagher, & Krista L. Lanctôt. (2018). The effect of exercise on resting concentrations of peripheral brain-derived neurotrophic factor (BDNF) in major depressive disorder: A meta-analysis. Journal of Psychiatric Research. 105. 123–131. 43 indexed citations

18.

Salum, Giovanni Abrahão, Luís Augusto Rohde, Walter Swardfager, et al.. (2016). Poor stimulus discriminability as a common neuropsychological deficit between ADHD and reading ability in young children: a moderated mediation model. Psychological Medicine. 47(2). 255–266. 6 indexed citations

19.

Herrmann, Nathan, Walter Swardfager, Mahwesh Saleem, et al.. (2014). White Matter Microstructural Integrity Is Associated with Executive Function and Processing Speed in Older Adults with Coronary Artery Disease. American Journal of Geriatric Psychiatry. 23(7). 754–763. 44 indexed citations

20.

Dowlati, Yekta, Nathan Herrmann, Walter Swardfager, et al.. (2009). A Meta-Analysis of Cytokines in Major Depression. Biological Psychiatry. 67(5). 446–457. 3606 indexed citations breakdown →

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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