Aging Journal Citation Rate 2026
1945-4589
Impact Journals LLC
US
Q1 Quartile Established Impact
About Aging
Aging (A) is a peer-reviewed academic journal, published by Impact Journals LLC in US, catalogued under ISSN 1945-4589. As of 2026, it has a 2025 2-Year Citation Rate (OpenAlex) of 3.99 (Q1 quartile) — the average number of citations its recent articles received over a two-year window, computed from OpenAlex open citation data, not the Clarivate (JCR) Impact Factor. It operates a subscription model.
Aging Citation Rate 2026 — In Context
Aging has a 2025 2-Year Citation Rate (OpenAlex) of 3.99, placing it in the Q1 quartile. This is the average number of citations the journal's recent articles received over a two-year window, computed from OpenAlex open citation data — not the Clarivate (JCR) Journal Impact Factor.
Aging operates a subscription-based publishing model — readers access articles through institutional subscriptions or pay-per-view.
Researchers looking to publish in Aging should review the journal's submission tips and verify the latest indexing status against Scopus, DOAJ, and Web of Science using our indexing tracker. To compare Aging against similar journals in the field, use our journal comparison tool.
| ISSN (Print) | 1945-4589 |
|---|---|
| Publisher | Impact Journals LLC |
| Country | United States |
| APC / Cost | Inquire with Publisher |
| h-index | 165 |
| Total Works | 8,611 |
| Total Citations | 251,573 |
| 2-yr Mean Citedness | 4.47 (OpenAlex) |
In-depth profile & metrics
Aging is published by Impact Journals LLC and based in United States.
Editorially, Aging concentrates on Cancer-related molecular mechanisms research, Ferroptosis and cancer prognosis and MicroRNA in disease regulation.
Aging is indexed in OpenAlex. OpenAlex tracking provides an open, citable record of its output even where commercial indexing is absent.
OpenAlex records 8,611 works that have together drawn 251,573 citations, giving the journal an h-index of 165; its most recent citation rate stands at 3.993; OpenAlex puts its two-year mean citedness at 4.47.
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Frequently Asked Questions about Aging
Live Indexing Status
Updated April 2026Track real-time indexing metrics to ensure this journal meets your academic requirements.
Citation Rate
Historical Trend
Initial data points onlyCitation Rate by Year
| Year | Value | Source |
|---|---|---|
| 2025 | 3.993 | 2-Year Mean Citedness (OpenAlex) |
Metrics are sourced from OpenAlex, DOAJ and Scopus and reflect the latest data we hold. The headline figure is a 2-year citation rate (OpenAlex), not a Clarivate Impact Factor. Always verify against the journal's official site before relying on it. See our Methodology or report a correction.
Works Published per Year (2014–2025)
Annual publication volume sourced from OpenAlex. Current year omitted (partial data).
Publication & citation history by year
| Year | Works published | Citations received |
|---|---|---|
| 2025 | 175 | 336 |
| 2024 | 789 | 4,183 |
| 2023 | 919 | 8,306 |
| 2022 | 677 | 10,038 |
| 2021 | 1,464 | 33,036 |
| 2020 | 1,804 | 60,839 |
| 2019 | 907 | 37,406 |
| 2018 | 382 | 17,929 |
| 2017 | 214 | 10,203 |
| 2016 | 295 | 17,573 |
| 2015 | 165 | 6,497 |
| 2014 | 101 | 5,204 |
Journal at a Glance
Source: OpenAlex — refreshed daily.
Top Research Topics
The areas where Aging most frequently publishes, ranked by article volume. Click a topic to see the best journals for it.
Research Highlights
Recently published high-impact papers in this journal:
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Transforming a clinical study database into a structured database adapted to artificial intelligence applications
Thibault Sauron, Carole Lazarus, Camille Kurtz • 2026
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Rethinking cervical deep lymphovenous anastomosis in Alzheimer’s disease: problems and prospects
Gaiqing Wang, H Y Li, Sen Zhang • 2026
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Diagnostic brain-to-liver [18f]fdg uptake ratio predicts survival in multiple myeloma: A retrospective study
Maria Emilia S. Takahashi, Tiago Santos, C Cralcev • 2026
-
Fish consumption and brain structure: a comprehensive systematic review of observational studies
Justyna Godos, Giuseppe Caruso, Agnieszka Micek • 2026
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A fusion model of deep learning and conventional features based on computed tomography angiography of carotid plaque for predicting the risk of acute ischemic stroke
Yu Tang, Jinlin Yang, Yimiao Luo • 2026
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Metadata
Last updated: Apr 24, 2026
Updated by: openalex_bulk
OpenAlex ID: S4210231119
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