Russell H. Swerdlow

39.6k total citations · 6 hit papers
264 papers, 16.4k citations indexed

About

Russell H. Swerdlow is a scholar working on Molecular Biology, Physiology and Neurology. According to data from OpenAlex, Russell H. Swerdlow has authored 264 papers receiving a total of 16.4k indexed citations (citations by other indexed papers that have themselves been cited), including 173 papers in Molecular Biology, 149 papers in Physiology and 50 papers in Neurology. Recurrent topics in Russell H. Swerdlow's work include Mitochondrial Function and Pathology (132 papers), Alzheimer's disease research and treatments (109 papers) and Parkinson's Disease Mechanisms and Treatments (33 papers). Russell H. Swerdlow is often cited by papers focused on Mitochondrial Function and Pathology (132 papers), Alzheimer's disease research and treatments (109 papers) and Parkinson's Disease Mechanisms and Treatments (33 papers). Russell H. Swerdlow collaborates with scholars based in United States, Portugal and Australia. Russell H. Swerdlow's co-authors include Jeffrey M. Burns, Shaharyar M. Khan, W. Davis Parker, Janice K. Parks, Heather Wilkins, James P. Bennett, Sandra M. Cardoso, E Lezi, Catarina R. Oliveira and Judit Perez Ortiz and has published in prestigious journals such as Journal of Biological Chemistry, Nature Medicine and Nature Communications.

In The Last Decade

Russell H. Swerdlow

258 papers receiving 16.2k citations

Hit Papers

The Alzheimer's disease mitochondri... 1996 2026 2006 2016 2013 2017 2004 1996 2019 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. The Alzheimer's disease mitochondrial cascade hypothesis: Progress and perspectives
    2013 607 citations Russell H. Swerdlow, Jeffrey M. Burns et al. profile →
  2. Mitochondria and Mitochondrial Cascades in Alzheimer’s Disease
    2017 600 citations Russell H. Swerdlow profile →
  3. A “mitochondrial cascade hypothesis” for sporadic Alzheimer's disease
    2004 592 citations Russell H. Swerdlow, Shaharyar M. Khan profile →
  4. Origin and functional consequences of the complex I defect in Parkinson's disease
    1996 526 citations Russell H. Swerdlow, Janice K. Parks et al. Annals of Neurology profile →
  5. Mitochondrial dysfunction in Alzheimer's disease: Role in pathogenesis and novel therapeutic opportunities
    2019 333 citations Russell H. Swerdlow et al. profile →
  6. The role of mitochondrial dysfunction in Alzheimer's disease pathogenesis
    2022 276 citations Russell H. Swerdlow, M. Flint Beal et al. Alzheimer s & Dementia profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Russell H. Swerdlow United States 72 8.6k 8.0k 2.6k 2.4k 1.9k 264 16.4k
Jeffrey N. Keller United States 77 7.6k 0.9× 6.6k 0.8× 1.7k 0.7× 2.5k 1.0× 2.7k 1.4× 226 17.3k
Catarina R. Oliveira Portugal 84 8.7k 1.0× 7.9k 1.0× 2.1k 0.8× 5.1k 2.1× 3.0k 1.6× 386 20.9k
Paula I. Moreira Portugal 72 7.7k 0.9× 7.3k 0.9× 1.2k 0.5× 1.9k 0.8× 2.0k 1.0× 236 17.2k
P. Hemachandra Reddy United States 88 14.4k 1.7× 11.8k 1.5× 2.4k 0.9× 5.1k 2.1× 2.8k 1.5× 284 25.7k
Xiongwei Zhu United States 94 13.5k 1.6× 14.5k 1.8× 3.0k 1.2× 4.4k 1.8× 3.8k 2.0× 345 28.6k
Michael Mullan United States 64 5.5k 0.6× 7.9k 1.0× 2.2k 0.9× 2.1k 0.9× 3.8k 2.0× 319 15.3k
Domenico Praticò United States 81 6.3k 0.7× 7.0k 0.9× 1.0k 0.4× 1.3k 0.5× 2.0k 1.0× 305 20.7k
Alex E. Roher United States 64 6.2k 0.7× 11.9k 1.5× 1.7k 0.7× 2.2k 0.9× 3.7k 2.0× 136 16.6k
Shun Shimohama Japan 72 8.7k 1.0× 6.1k 0.8× 2.5k 1.0× 5.1k 2.1× 2.6k 1.4× 346 17.7k
Linda J. Van Eldik United States 81 8.3k 1.0× 5.9k 0.7× 2.5k 1.0× 2.5k 1.0× 4.7k 2.5× 227 17.1k

Countries citing papers authored by Russell H. Swerdlow

Since Specialization
Citations

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

Fields of papers citing papers by Russell H. Swerdlow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Russell H. Swerdlow. 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 Russell H. Swerdlow. The network helps show where Russell H. Swerdlow may publish in the future.

Co-authorship network of co-authors of Russell H. Swerdlow

This figure shows the co-authorship network connecting the top 25 collaborators of Russell H. Swerdlow. A scholar is included among the top collaborators of Russell H. Swerdlow 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 Russell H. Swerdlow. Russell H. Swerdlow 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.
Johnson, Erik C. B., Laura Winchester, Keenan A. Walker, et al.. (2025). APOE ε4 carriers share immune-related proteomic changes across neurodegenerative diseases. Nature Medicine. 31(8). 2590–2601. 9 indexed citations
2.
Haeri, Mohammad, et al.. (2025). RILP cleavage links an inflammatory state to enhanced tau propagation in a cell culture model of Alzheimer's disease. Molecular Biology of the Cell. 36(5). br15–br15.
3.
Taylor, Matthew K., Jeffrey M. Burns, In‐Young Choi, et al.. (2024). Protocol for a single-arm, pilot trial of creatine monohydrate supplementation in patients with Alzheimer’s disease. Pilot and Feasibility Studies. 10(1). 42–42. 3 indexed citations
4.
Novikova, Lesya, Xiaowan Wang, Artyom Kopp, et al.. (2024). Inhibiting mtDNA transcript translation alters Alzheimer's disease‐associated biology. Alzheimer s & Dementia. 20(12). 8429–8443. 1 indexed citations
5.
Zhang, Chen, Mengwei Niu, Xiaowen Ma, et al.. (2024). Late-Life Alcohol Exposure Does Not Exacerbate Age-Dependent Reductions in Mouse Spatial Memory and Brain TFEB Activity. Biomolecules. 14(12). 1537–1537. 1 indexed citations
6.
Jia, Kun, Jing Tian, Lan Guo, et al.. (2023). Mitochondria-sequestered Aβ renders synaptic mitochondria vulnerable in the elderly with a risk of Alzheimer disease. JCI Insight. 8(22). 5 indexed citations
7.
Wilkins, Heather, et al.. (2023). Protective effects of mitochondrial genome abundance on Alzheimer’s Disease: a Mendelian randomization study. Alzheimer s & Dementia. 19(S24). 2 indexed citations
8.
Swerdlow, Russell H., et al.. (2022). The role of mitochondrial dysfunction in Alzheimer's disease pathogenesis. Alzheimer s & Dementia. 19(1). 333–342. 276 indexed citations breakdown →
9.
Taylor, Matthew, et al.. (2022). Potential for Ketotherapies as Amyloid-Regulating Treatment in Individuals at Risk for Alzheimer’s Disease. Frontiers in Neuroscience. 16. 899612–899612. 11 indexed citations
10.
Montgomery, Robert N., Suzanne Hunt, Eric D. Vidoni, et al.. (2021). CONSENSUS: a Shiny application of dementia evaluation and reporting for the KU ADC longitudinal Clinical Cohort database. JAMIA Open. 4(3). ooab060–ooab060. 2 indexed citations
11.
Wilkins, Heather, Xiaowan Wang, Scott J. Koppel, et al.. (2021). Bioenergetic and inflammatory systemic phenotypes in Alzheimer’s disease APOE ε4‐carriers. Aging Cell. 20(5). e13356–e13356. 12 indexed citations
12.
Li, Tianqi, Colleen Pappas, Brandon S. Klinedinst, et al.. (2021). APOE, TOMM40, and sex interactions on neural network connectivity. Neurobiology of Aging. 109. 158–165. 14 indexed citations
13.
Song, Hailong, Mei Chen, Chen Chen, et al.. (2018). Proteomic Analysis and Biochemical Correlates of Mitochondrial Dysfunction after Low-Intensity Primary Blast Exposure. Journal of Neurotrauma. 36(10). 1591–1605. 33 indexed citations
14.
Kumar, Ram, Soma Ray, Pratik Home, et al.. (2018). Regulation of energy metabolism during early mammalian development: TEAD4 controls mitochondrial transcription. Development. 145(19). 36 indexed citations
15.
Wilkins, Heather & Russell H. Swerdlow. (2016). Amyloid precursor protein processing and bioenergetics. Brain Research Bulletin. 133. 71–79. 169 indexed citations
16.
Harris, Janna L., Hung‐Wen Yeh, Russell H. Swerdlow, et al.. (2014). High-field proton magnetic resonance spectroscopy reveals metabolic effects of normal brain aging. Neurobiology of Aging. 35(7). 1686–1694. 57 indexed citations
17.
Silva, Diana F., et al.. (2012). Mitochondrial Abnormalities in Alzheimer’s Disease. Advances in pharmacology. 64. 83–126. 60 indexed citations
18.
Binder, Daniel, et al.. (2005). Molecular characterization of mtDNA depleted and repleted NT2 cell lines. Mitochondrion. 5(4). 255–265. 20 indexed citations
19.
Albers, David S., Russell H. Swerdlow, Giovanni Manfredi, et al.. (2001). Further Evidence for Mitochondrial Dysfunction in Progressive Supranuclear Palsy. Experimental Neurology. 168(1). 196–198. 61 indexed citations
20.
Khan, Shaharyar M., David S. Cassarino, Paula M. Keeney, et al.. (2000). Alzheimer's disease cybrids replicate ?-amyloid abnormalities through cell death pathways. Annals of Neurology. 48(2). 148–155. 141 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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